Books

1. De Moor B. (ed), Liber Amicorum Joos Vandewalle, KU Leuven, STADIUS (Leuven, Belgium), 2013, 167 p.


2. Yu S., Tranchevent L.C., De Moor B., Moreau Y., Kernel-based Data Fusion for Machine Learning, vol. 345 of Studies in Computational Intelligence, Springer, 2011, 200 p.


3. De Moor B., Liber Amicorum Jan C. Willems, KU Leuven, SISTA (Leuven, Belgium), 2009, 98 p.


4. Aerts D., Apostel L., De Moor B., Hellemans S., Maex E., Van Belle H., Van der Veken J., World Views : From fragmentation to integration, World Views, VUB Press (Brussels, Belgium), 2007, 41 p.


5. Markovsky I., Willems J. C., De Moor B., Van Huffel S., Exact and Approximate Modeling of Linear Systems: A Behavioral Approach, SIAM (Philadelphia, US), 2006, 205 p.


6. De Moor B., Motmans B., Willems J., Van Dooren P., Blondel V., Mathematical Theory of Networks and Systems, Proceedings of Sixteenth Internatinal Symposium on Mathematical Theory of Networks and Systems, K.U.Leuven (Leuven, Belgium), (ISBN 90-5682-517-8), 2004, 1 p.


7. Suykens J.A.K., Van Gestel T., De Brabanter J., De Moor B., Vandewalle J., Least Squares Support Vector Machines, World Scientific Publishing Co., Pte, Ltd. (Singapore), (ISBN : 981-238-151-1), 2002.


8. Van Overschee P., De Moor B., Subspace Identification for Linear Systems: Theory, Implementation, Applications, Kluwer Academic Publishers, 1996, 254 p.


9. Suykens J.A.K., Vandewalle J., De Moor B., Artificial Neural Networks for Modeling and Control of Non-Linear Systems, Kluwer Academic Publishers, 1995, 235 p.

Edited Books

1. Moonen M., De Moor B., (eds.), SVD and Signal Processing, III: Algorithms, Architectures and Applications, Proc. of the 3rd International Workshop on SVD and Signal Processing, Leuven, Belgium, Aug. 1994, Elsevier, 1995, 485 p.


2. Moonen M., Golub G., De Moor B., (eds.), Linear Algebra for Large-Scale and Real-Time Applications, Proc. NATO Advanced Study Institute, Leuven, Belgium, Aug. 3-14 1992. Kluwer Academic Publishers. NATO ASI Series, Series E: Applied Sciences, vol.232, 1993.

Contributions to books

1. De Moor B., De Man H., "Merksteen VI : ESAT & IMEC", in Merkstenen. Op weg naar de ondernemende onderzoeksuniversiteit, (De Moor B.), Universitaire Pers (Leuven, Belgium), 2021, 44 p.


2. De Moor B., "Will Life Go Live One Day", in Chapter 1 A Truly Golden Handbook: The Scholarly Quest for Utopia, (Achten V., Bouckaert G., and Schokkaert E., eds.), Leuven University Press (Leuven, Belgium), 2016, pp. 20-35.


3. O D., El Aalamat Y., Waelkens E., De Moor B., D'Hooghe T., Fassbender A., "Multiproteins-array and endometriosis", in chapter Biomarkers for Endometriosis, (D'Hooghe T., ed.), springer, 2015, pp. 1-25.


4. Falck T., De Moor B., Suykens J.A.K., "Kernel Based Identification of Systems with Multiple Outputs using Nuclear Norm Regularization", in Chapter 17 in Regularization, Optimization, Kernels, and Support Vector Machines, (Suykens J.A.K., Signoretto M., and Argyriou A., eds.), Chapman & Hall/CRC (Boca Raton, USA), 2014, pp. 387-415.


5. De Moor B., "Massaal, open en online naar een heuse onderwijsomwenteling ?", in Essay Mee met morgen, (Boenders E., ed.), Academia Press (Brussel, Belgie), 2013, pp. 72-75.


6. Goethals I., Pelckmans K., Falck T., Suykens J.A.K., De Moor B., "NARX Identification of Hammerstein Systems using Least-Squares Support Vector Machines", in Chapter 15 of Block-oriented Nonlinear System Identification, (Giri F., and Bai E.-W., eds.), vol. 404 of Lecture notes in control and information sciences, Springer, 2010, pp. 241-256.


7. De Moor B., Gevaert O., "ICT en eHealth. Nieuwe wegen voor de wetenschap", in In gesprek met morgen. XXI less voor de eenentwintigste eeuw, (Pattyn B., and Raymaekers B., eds.), Universitaire Pers (Leuven, Belgium), 2010, pp. 15-26.


8. De Moor B., "Evolutie, complexiteit en creativiteit", in Chapter 12 Nieuwigheid Denken, (Van Belle H., and Vanderveken J., eds.), ACCO (Leuven, Belgium), 2008, pp. .


9. Dreesen P., De Moor B., "Polynomial Optimization Problems are Eigenvalue Problems", in Chapter 4 of Model-Based Control -- Bridging Rigorous Theory and Advanced Technology, (Van den Hof P.M.J., Scherer C., and Heuberger P.S.C., eds.), Springer , 2009, pp. 49--68.


10. Van Calster B., Gevaert O., Van Holsbeke C., De Moor B., Van Huffel S., Timmerman D., "Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study", in Chapter 8 of Computational Intelligence and Bioingineering, (Masulli F., Micheli A., and Sperduti A., eds.), vol. 196 of mph{Frontiers in Artificial Intelligence and Applications}, IOS Press (Amsterdam, the Netherlands), 2009, pp. 111-128.


11. Barjas Blanco T., Willems P., Chiang P-K., Cauwenbergh K., De Moor B. and Berlamont J., "Flood Regulation by means of Model Predictive Control", in Chapter Intelligent Infrastructures, (Negenborn R.R., Lukszo Z., and Hellendoorn J., eds.), Springer, 2009, pp. 1-30.


12. Daemen A., Gevaert O., Leunen K., Vanspauwen V., Michils G., Legius E., Vergote I., De Moor B., "A genome-wide computational study of copy number variations: an example on ovarian cancer", in Chapter 9 of Investigating Human Cancer with Computational Intelligence Techniques, (Vellido A., and Lisboa PJG., eds.), Future Technology Press (Shoreham-by-sea, UK), 2009, pp. 107-118.


13. De Moor B., "From bioinformatics over systems to synthetic biology", in Book of Lectures for the 21ste Century, Universitaire Pers, Leuven, 2008, 25 p.


14. Boets J., De Cock K., De Moor B., "A mutual information based distance for multivariate Gaussian processes", in Modeling, Estimation and Control, (Chiuso A., Pinzoni S., and Ferrante A., eds.), vol. 364 of mph{Lecture Notes in Control and Information Sciences}, Springer, 2007, pp. 15-33.


15. Rossiter J. A., Pluymers B., De Moor B., "The Potential of Interpolation for Simplifying Predictive Control and Application to LPV Systems", in Assessment and Furture Directions of Nonlinear Model Predictive Control, vol. 358/2007 of mph{Lecture Notes in Control and Information Sciences}, Springer, 2007, pp. 63-76.


16. Pochet N.L.M.M., Ojeda F., De Smet F., De Bie T., Suykens J.A.K., De Moor B.L.R., "Kernel clustering for knowledge discovery in clinical microarray data analysis", in Chapter 3 Kernel methods in bioengineering, communications and image processing, (Camps-Valls G., Rojo-Alvarez J.L., and Martinez-Ramon M., eds.), Idea Group Inc (Hershey, Pennsylvania), 2005, pp. 64-92.


17. Immers B., De Moor B., "Traffic congestion problems in Belgium : mathematical models, analysis, simulation, control and actions.", in Report of Project Sustainable Mobility, (Belspo B., ed.), Belgian Science Policy (Brussels, Belgium), 2005, pp. 175-186.


18. De Moor B., "Bio-informatica : Hoe algoritmen tot leven brengen", in Hoe dichtbij is de toekomst ? XXI lessen voor de eenentwintigste eeuw, (Pattyn B., and Raymaekers B., eds.), Universitaire Pers (Leuven, Belgium), 2005, pp. 25-56.


19. Marchal K., De Smet F., Engelen K., De Moor B., "Computational biology and toxicogenomics", in chapter 3 Predictive toxicology, (Helma C., ed.), Marcel Dekker (New York), 2004, pp. 37-85.


20. Sheng Q., Moreau Y., De Smet F., Marchal K., De Moor B., "Advances in cluster analysis of microarray data", in Chapter 10 of Data analysis and visualization in genomics and proteomics, (Azuaje F., and Dopazo J., eds.), Jonh Wiley & Sons Ltd. (Chichester, UK), 2005, pp. 153-173.


21. Pelckmans K., Goethals I., De Brabanter J., Suykens J.A.K., De Moor B., "Componentwise Least Squares Support Vector Machines", in Chapter Support Vector Machines: Theory and Applications, (Wang L., ed.), Springer, 2005, pp. 77-98.


22. Thijs G., De Smet F., Moreau Y., Marchal K., De Moor B., "Gene regulation bioinformatics of microarray data", in chapter Genomics and Proteomics Engineering, (Metin A., ed.), WileyL/IEEE Press, 2004, pp. 1-41.


23. De Cock K., De Moor B., "Subspace identification", in Contribution to section 5.5, "Control systems robotics and automation" of EOLSS, UNESCO Encyclopedia of Life Support Systems, (Unbehauen H.D.), vol. 1 of 3, Eolss Publishers Co., Ltd. (Oxford, UK http://www.eolss.net), 2003, pp. 933-979.


24. Suykens J.A.K., Van Gestel T., De Brabanter J., De Moor B., Vandewalle J., "Support Vector Machines : Least Squares Approaches and Extensions", in Chapter 8 of Advances in Learning Theory : Methods, Models and Applications, (Suykens J.A.K., Horvath G., Basu S., Micchelli C. and Vandewalle J., eds.), IOS Press (NATO-ASI Series in Computer and Systems Sciences) (Amsterdam, The Netherlands), 2003, pp. 155-178.


25. De Moor B., "De mens in de technotoop", in Het neefje van de aap. De schokkende evolutie van de mens, (Droste F.G.), Davidsfonds (Leuven, Belgium), 2003, 352 p.


26. Vandewalle J., Suykens J.A.K., De Moor B., "Non-linear circuit theory : from private playground for academic researchers to innovative information processing circuits", in Dedicated to Leon O. Chua on the occasion of this 60th birthday Ad Sexagintas Annos Prospere Celebrandos, (Phua K.K., ed.), World Scientific (Singapore), 1998, pp. 155-157.


27. De Moor B., "Convergence of an algorithm for the Riemannian SVD", in Open problems in Mathematical System and Control Theory, (Blondel V.C., Sontag E.D., Vidyasagar M., Willems J.C., eds.), of Communications and Control Engineering Series, Springer-Verlag, 1999, pp. 95-99.


28. De Moor B., "Structured total least squares for Hankel matrices", in 13 Communications, Computation, Control and Signal Processing, (Paulray A., Roychowdhury V., and Schaper C.D., eds.), A tribute to Thomas Kailath, Kluwer Academic Publishers, 1997, pp. 243-258.


29. De Moor B., Vandewalle J., Barbe A., Engelen J., Lisotten L., Aernoudt E., Van Huffel S., "Hoop en angst in de postmoderne technotoop", in Wegen van Hoop: Universitaire perspectieven, (Pattyn B., Raymaekers B., Steel C., Van Gorp H., C. De Ranter, Dupre A., and Bellen M.J., eds.), Universitaire Pers, Leuven, 1995, pp. 277-293.


30. De Moor B., "De postmoderne technotoop", in Bijdrage voor ANNO, Stichting Kunstboek, Brugge, Nov. 1994, 14 p.


31. Aerts D., Apostel L., De Moor B., Hellemans S., Maex E., Van Belle H., Van der Veken J., "Wereldbeelden, Wetenschap en Technologie, in `Cirkelen om de wereld'", in DNB Pelckmans, 1994, 26 p.


32. Schelfhout G., Van Overschee P., De Moor B., "Frequency weighted $H_2$ model reduction", in Nonlinear Numerical Methods and Rational Approximation II, (A. Cuyt, ed.), Kluwer Academic Publishers, 1994, pp. 187-199.


33. De Moor B., "Wereldbeelden: Naar een Atlas van Modellen van de Wereld", in Bevrijding of Bedreiging door Wetenschap en Techniek, Genootschap Wetenschap, Techniek en Maatschappij (Technologisch Instituut KVIV), DNB/Uitgeverij Pelckmans (Kapellen, Belgium), 1993, pp. 125-134.


34. Van Impe J., Bastin G., De Moor B., Van Breusegem V., Vandewalle J., "Optimal adaptive control of fed-batch fermentation processes with growth/production decoupling", in Modeling and control of biotechnical processes 1992, (Karim M.N., and Stephanopoulos G., eds.), Pergamon Press, Oxford, 1992, pp. 351-354.


35. Apostel L., De Moor B., Hellemans S., Lesthaege R., Van Belle H., Van der Veken J., Van Geen R., Van Landschoot J., "Wereldbeelden, van fragmentering naar integratie", in DNB Pelckmans, 1991, 84 p.

International Journal Papers

1. Al-Memar M., Fourie H., Vaulet T., Lawson K., Bobdiwala S., Saso S., Farren J., Pipi M., De Moor B., Stalder C., Bennett P., Timmerman D., Bourne T., "Using simple clinical and ultrasound variables to develop a model to predict first trimester pregnancy viability", European Journal of Obstetrics and Gynecology, vol. 292, 2024, pp. 187-193.


2. Botman L., Lago J., Fu X., Chia K., Wolf J., Kleissl J., De Moor B., "Building plug load mode detection, forecasting and scheduling", Applied Energy, vol. 364, 2024, art. 123098 p.


3. Lagauw S., Agudelo M., De Moor B., "Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem", IEEE Control Systems Letters (L-CSS), vol. 7, May 2023, pp. 1670-1675.


4. Pandey A., De Meulemeester H., De Moor B., Suykens J.A.K., "Multi-view Kernel PCA for Time series Forecasting", Neurocomputing, vol. 554, 2023, 126639 p.


5. Derwae H., Nijs M., Geysels A., Waelkens E., De Moor B., "Spatiochemical characterization of the pancreas using mass spectrometry imaging and topological data analysis", Analytical Chemistry, vol. 95, no. 28, Jul. 2023, pp. 10550-10556.


6. Vaulet T., Divard T., Thaunat O., Koshy P., Lerut E., Senev A., Aubert O., Van Loon E., Callemyn J., Emonds M.P., Van Craenenbroeck A., De Vusser K., Sprangers B., Rabeyrin M., Dubois V., Kuypers D., De Vos M., Loupy A., De Moor B., Naesens M., "Data-driven chronic allograft phenotypes : A novel and validated complement for histologic assessment of kidney transplant biopsies", Journal of the American Society of Nephrology, Oct. 2022, 14 p.


7. Shi X., Nikolic G., Fischaber S., Black M., Rankin D., Epelde G., Beristain A., Alvarez R., Arrue M., Pita Costa J., Grobelnik M., Stopar L., Pajula J., Umer A., Poliwoda P., Wallance J., Carlin P., Paakkonen J., De Moor B., "System architecture of a European platform for health policy decision making : MIDAS", Frontiers in Public Health, vol. 10, Mar. 2022, pp. 1-13 (art nb 838438).


8. Shi X., Qu T., van Pottelbergh G., Van den Akker M., De Moor B., "A resampling method to improve the prognostic model of end-stage kidney disease : A better strategy imbalanced data", Frontiers in Medicine, vol. 9, Mar. 2022, pp. 730-748.


9. Vermeersch C., De Moor B., "Two Double Recursive Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems", IEEE Control Systems Letters, vol. 7, Jun. 2022, pp. 319--324.


10. Botman L., Soenen J., Theodorakos K., Yurtman A., Bekker J., Vanthournout K., Blockeel H., De Moor B., Lago J., "A scalable ensemble approach to forecast the electricity consumption of households", IEEE Transaction on Smart Grid, vol. 14, no. 1, Jan. 2023, pp. 757-768.


11. Vaulet T., Al-Memar M., Fourie H., Bobdiwala S., Saso S., Pipi M., Stalder C., Bennett P., Timmerman D., Bourne T., De Moor B., "Gradient boosted trees with individual explanations : an alternative to logistic regression for viability prediction in the first trimester of pregnancy", Computer Methods and Programs in Biomedicine, vol. 213, Jan. 2022, 106520 art.nb. p.


12. Theodorakos K., Agudelo M., Espinoza M., De Moor B., "Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting", IEEE Open Access Journal of Power and Energy, vol. 9, Jun. 2022, pp. 241-253.


13. Shi X., Prins C., Van Pottelbergh G., Mamouris P., Vaes B., De Moor B., "An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge", BMC Medical Informatics and Decision Making, vol. 21, Sep. 2021, pp. 267.


14. Van Loon E., Zhang W., Coemans M., De Vos M., Emonds M-P., Scheffner I., Gwinner W., Kuypers D., Senev A., Tinel C., Van Craenenbroeck AH., De Moor B., Naesens M., "Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model", JAMA Network Open, Dr Van Loon and Ms Zhang contributed equally, vol. 4(12), Dec. 2021, pp. 1-12.


15. Vermeersch C., De Moor B., "Recursive Algorithms to Update a Numerical Basis Matrix of the Null Space of the Block Row, (Banded) Block Toeplitz, and Block Macaulay Matrix", SIAM Journal on Scientific Computing (SISC), vol. 45, no. 2, Apr. 2023, pp. A596--A620.


16. Vermeersch C., De Moor B., "Two Complementary Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems", Linear Algebra and its Applications, vol. 654, Dec. 2022, pp. 177--209.


17. Nijs M., Smets T., Waelkens E., De Moor B., "A Mathematical Comparison of Non-negative Matrix Factorization-Related Methods with Practical Implications for the Analysis of Mass Spectrometry Imaging Data", Rapid Communications in Mass Spectrometry, vol. 35, no. 21, Aug. 2021, pp. e9181 1-16.


18. Theodorakos K., Agudelo M., Schreurs J., Suykens J.A.K., De Moor B., "Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting", IEEE Transactions on Evolutionary Computation, vol. 27, no. 4, Aug. 2023, pp. 878-892.


19. Smets T., De Keyser T., Tousseyn T., Waelkens E., De Moor B., "Correspondence-Aware Manifold Learning for Microscopic and Spatial Omics Imaging: A Novel Data Fusion Method Bringing Mass Spectrometry Imaging to a Cellular Resolution.", Analytical Chemistry, vol. 93, Feb. 2021, pp. 3452-3460.


20. Vaulet T., Divard G., Thaunat O., Lerut E., Senev A., Aubert O., Van Loon E., Callemeyn J., M.-P., Van Craenenbroeck A., De Vusser K., Sprangers B., Rabeyrin M., Dubois V., Kuypers D., De Vos M., Loupy A., De Moor B., Naesens M., "Data-driven derivation and validation of novel phenotypes for acute kidney transplant rejection using semi-supervised clustering", Journal of the American Society of Nephrology, vol. 32, 2021, 37 p.


21. Costa J.P., Grobelnik M., Fuart F., Stopar L., Epelde G., Fischaber S., Poliwoda P., Rankin D., Wallace J., Black M., Bond R., Mulvenna M., Weston D., Carlin P., Bilbao R., Nikolic G., Shi X., De Moor B., Pikkarainen M., Paakkonen J., Staines A., Connolly R., Davis P., "Meaningful big data integration for a global COVID-19 strategy", IEEE Computational Intelligence Magazine, vol. *, no. *, Nov. 2020, pp. 51-61.


22. Geelen B., Burn D., De Moor B., "A Clustering Analysis of Renaissance Polyphony using State-Space Models", Journal of the Alamire Foundation, vol. 13, no. 1, Jun. 2021, pp. 127-146.


23. Zhang W., Claesen M., Moerman T., Groseclose M., Waelkens E., De Moor B., Verbeeck N., "Spatially Aware Clustering of Ion Images in Mass Spectrometry Imaging Data Using Deep Learning", Analytical and Bioanalytical Chemistry Journal, Special Issue on Mass Spectrometry Imaging, vol. 413, no. 10, Apr. 2021, pp. 2803-2819.


24. Lauwers O., Vermeersch C., De Moor B., "Cepstral Identification of Autoregressive Systems", Automatica, vol. 139, no. 7, May 2022, pp. 110214:1--14.


25. Shi X., Nikolic G., Van Pottelbergh G., Van den Akker M., Vos R., De Moor B., "Development of multimorbidity over time: an analysis of Belgium primary care data using Markov chains and Weighted Association Rules Mining", The Journals of Gerontology, Medical Sciences, vol. 76, no. 7, Jul. 2021, pp. 1234-1241.


26. De Moor B., "Least squares optimal realisation of autonomous LTI systems is an eigenvalue problem", Communications in Information and systems, vol. 20, no. 2, 2020, pp. 163-207.


27. Shi X., Nikolic G., Epelde G., Arrue M., Bidaurrazaga Van-Dierdonck J., Bilbao R., De Moor B., "An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making", BMC Medical Informatics and Decision Making, vol. 21, Jul. 2021, pp. 222.


28. Epelde G., Alvarez R., Beristain A., Arrue M., Ezkerra I., Belar O., Bilbao R., Nikolic G., Shi X., De Moor B., Mulvenna M., "Quality of data measurements in the Big Data era - Lessons learned from MIDAS project", IEEE Instrumentation and Measurement Magazine, Oct. 2020, pp. 18-24.


29. Smets T., Waelkens E., De Moor B., "Prioritization of m/z-values in mass spectrometry imaging profiles obtained using Uniform Manifold Approximation and Projection for dimensionality reduction", Analytical Chemistry, vol. 92, no. 7, Apr. 2020, pp. 5240-5248.


30. Vergauwen B., De Moor B., "Two-dimensional descriptor systems", IFAC-PapersOnLine, Part of Special Issue: 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS), vol. 54, no. 9, Jul. 2021, pp. 151--158.


31. Vermeersch C., De Moor B., "A Column Space Based Approach to Solve Systems of Multivariate Polynomial Equations", IFAC-PapersOnLine, Part of Special Issue: 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS), vol. 54, no. 9, Jul. 2021, pp. 137--144.


32. Agudelo M., Vermeersch C., De Moor B., "Globally Optimal H2-Norm Model Reduction: A Numerical Linear Algebra Approach", IFAC-PapersOnLine, Part of Special Issue: 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS), vol. 54, no. 9, Jul. 2021, pp. 564--571.


33. De Cock K., De Moor B., "Multiparameter Eigenvalue Problems and Shift-Invariance", IFAC-PapersOnLine, Special Issue: 24th International Symposium on Mathematical Theory of Networks and Systems MTNS 2020: Cambridge, United Kingdom, vol. 54, no. 9, Jul. 2021, pp. 159-165.


34. Al-Memar M., Vaulet T. Fourie H., Bobdiwala S., Farren J., Saso S. Bracewell-Milnes T., De Moor B., Stalder C., Bennett P., Timmerman D., Bourne T., "Intrauterine haematomas in the first trimester and pregnancy complications", Ultrasound in Obstetrics and Gynecology, vol. 55, Apr. 2020, pp. 536-545.


35. Smets T., Verbeeck N., Claesen M., Asperger A., Griffioen G., Tousseyn T., Waelput W., Waelkens E., De Moor B., "Evaluation of distance metrics and spatial autocorrelation in Uniform Manifold Approximation and Projection applied to Mass Spectrometry Imaging data", Analytical Chemistry, vol. 91, no. 9, Apr. 2019, pp. 5706-5714.


36. Vermeersch C., De Moor B., "Globally Optimal Least-Squares ARMA Model Identification Is an Eigenvalue Problem", IEEE Control Systems Letters, vol. 3, no. 4, Oct. 2019, pp. 1062--1067.


37. Al-Memar M., Vaulet T., Fourie H., Nikolic G., Bobdiwala S., Saso S., Farren M., Pipi M., Van Calster B., De Moor B., Stalder C., Bennett P., Timmerman D., Bourne T., "Early-pregnancy events and subsequent antenatal, delivery and neonatal outcomes : prospective cohort study", Ultrasound in Obstetrics and Gynecology, vol. 54, 2019.


38. Lauwers O., Agudelo M., De Moor B., "A Multiple-Input Multiple-Output Cepstrum", IEEE Control Systems Letters, vol. 2, no. 2, Apr. 2018, pp. 272 - 277.


39. Epstein E., Timmerman D., Valentin L., Van den Bosch T., Testa A., Van Calster B., Verbakel J., Bourne T., Franchi D., Leone F., Van Holsbeke C., Lindqvist P., Haak L., De Moor B., Gurreiro S., Mascillini F., Fischerova D., Frauhaup P., Pascual M., Alcazar J.L., Installé A., Opolskiene G., Fruschio R., Sladkevicius P., Chiappa V., "Ultrasound characteristics of endometrial cancer as defined by the International Endometrial Tumor Analysis (IETA) consensus nomenclature - A prospective multicenter study", Ultrasound in Obstetrics and Gynecology (UOG), vol. 51, no. 6, Jun. 2018, pp. 818-828.


40. Sladkevicius P., Installe A., Van den Bosch T., Timmerman D., Benacerraf B., Jokubkiene L., di Legge A., Votino A., Zannoni L., De Moor B., De Cock B., Van Calster B., Valentin L., "International endometrial tumor analysis (IETA) terminology in women with postmenopausal bleeding and sonographic endometrial thickness >- 4.5 mm : an agreement and reliability study", Ultrasound in Obstetrics & Gynecology, 28 (online) p.


41. Dubois J., Van Herpe T., van Hooijdonk R., Wouters R., Coart D., Wouters P., Van Assche A., Veraghert G., De Moor B., Wauters J., Wilmer A., Schutz M.J., Van den Berghe G., Mesotten D., "Software-guided versus nurse-directed blood glucose control in critically ill patients : the LOGIC-2 multicenter randomized controlled clinical trial", Critical Care, vol. 21, no. 1, Aug. 2017, 212 (10pg) p.


42. Yakubova A., Thorrez L., Svetlichnyy D., Oosterlinck W., Zwarts L., Laenen G., Moreau Y., Dehaspe L., Van Houdt J., De Moor B., Callaerts P., Herijgers P., "ACE-inhibition induces a cardioprotective transcriptional response in the metabolic syndrome heart", Nature, vol. 8, Nov. 2018, pp. 16169.


43. Lauwers O., De Moor B., "A time series distance measure for efficient clustering of input output signals by their underlying dynamics", IEEE Control Systems letters, Vol.1, Issue 2, Oct. 2017, pp. 286-291.


44. O D., El Aalamat Y., Waelkens E. De Moor B. D’Hooghe T., Fassbender A., "Multiplex immunoassays in endometriosis: An array of possibilities", Frontiers In Bioscience, vol. 22, 2017, pp. 479-492.


45. Dekervel J., Popovic D., van Malenstein H., Windmolders P., Heylen L., Libbrecht L., Bulle A., De Moor B., Van Cutsem E., Nevens F., Verslype C., van Pelt J., "A Global Risk Score (GRS) to simultaneously predict early and late tumor recurrence risk after resection of hepatocellular carcinoma", Translational Oncology, vol. 9, no. 2, Apr. 2016, pp. 139-146.


46. Van Schoubroeck D., Raine-Fenning N., Installé A., De Neubourg D., De Moor B., Bourne T., Van den Bosch T., Timmerman D., "Interobserver agreement in assessing polycystic ovarian morphology using pattern recognition", Ultrasound in Obstetrics and Gynecology, vol. 47, no. 5, 12 p.


47. Dreesen P., Batselier K., De Moor B., "Multidimensional Realisation Theory and Polynomial System Solving", International Journal of Control, vol. 91, no. 12, 2018, pp. 2692-2704.


48. Van den Bosch T., Dueholm M., Leone F.P.G., Valentin L., Rasmussen C.K., VOTINO A., Van Schoubroeck D., Landolfo C., Installé A.J.F., Guerriero S., Exacoustos C., Gordts S., Benacerraf B., D'Hooghe T., De Moor B., Brölmann H., Goldstein S., Epstein E., Bourne T., Timmerman D., "Terms, definitions and measurements to describe sonographic features of myometrium and uterine masses: a consensus opinion from the Morphological Uterus Sonographic Assessment (MUSA) group", Ultrasound in Obstetrics & Gynecology, vol. 46, no. 3, Sep. 2015, pp. 284-298.


49. He Z., Agudelo M., Wang Q., De Moor B., "Two-sided coupled generalized Sylvester matrix equations solving using a simultaneous decomposition for fifteen matrices", Linear Algebra and its Applications, vol. 496, May 2016, pp. 549-593.


50. Claesen M., Gillard P., De Smet F., Callens M., De Moor B., Mathieu C., "Mortality in individuals treated with glucose lowering agents: a large, controlled cohort study", Journal of Clinical Endocrinology and Metabolism, vol. 101, no. 2, Feb. 2016, pp. 461-469.


51. Van Herpe T., De Moor B., Van den Berghe G., Mesotten D., "In reply : Using the wrong model can lead to unsupported conclusions about Glucose meters", Clinical Chemistry, vol. 61, no. 4, Apr. 2015, pp. 666-667.


52. Batselier K., Dreesen P., De Moor B., "On the null spaces of the Macaulay matrix", Linear Algebra and its Applications, vol. 460, no. 1, Nov. 2014, pp. 259-289.


53. Installe A., Van den Bosch T., De Moor B., Timmerman D., "Clinical Data Miner -- An electronic Case Report Form system with integrated data preprocessing and machine-learning libraries supporting clinical diagnostic model research", Journal of Medical Internet Research -- Medical Informatics, vol. 2, no. 2, Oct. 2014, pp. 1-11.


54. Van Herpe T., De Moor B., Van den Berghe G., Mesotten D., "Modeling of effect of glucose sensor errors on insulin dosage and glucose bolus computed by LOGIC-Insulin", Clinical Chemistry, vol. 60, no. 12, Dec. 2014, pp. 1510-8.


55. Huyck B., De Brabanter J., De Moor B., Van Impe J., Logist F., "Online model predictive control of industrial processes using low level control hardware : a pilot-scale distillation column case study", Control Engineering Practice, vol. 28, no. *, 2014, pp. 34-48.


56. Verbeeck N., Yang J., De Moor B., Caprioli R.M., Waelkens E., Van de Plas R., "Automated Anatomical Interpretation of ion distributions in tissue : Linking imaging mass spectrometry to curated atlases", Analytical Chemistry, vol. 86, no. 14, Aug. 2014, pp. 8974-8982.


57. Popovic D., Sifrim A., Davis J., Moreau Y., De Moor B., "Problems with nested granularity of feature domains in bioinformatics - the eXtasy case", BMC Bioinformatics, Selected articles from The 9th IAPR conference on Pattern Recognition in Bioinformatics, vol. 16(Suppl 4):S2, Feb. 2015, pp. 1-11.


58. Verbeeck N., Yang J., De Moor B., Caprioli R.M., Waelkens E., Van de Plas R., "Automated Anatomical Interpretation of Ion Distributions in Tissue: Linking Imaging Mass Spectrometry to Curated Atlases", Analytical Chemistry, vol. 86, no. 18, Aug. 2014, pp. 8974 - 8982.


59. Thomas M., Daemen A., De Moor B., "Maximum likelihood estimation of GEVD : Applications in Bioinformatics", IEEE Transactions on Computational Biology and Bioinformatics, vol. 11, no. 4, 2014, pp. 673-680.


60. Claesen M., De Smet F., Suykens J., De Moor B., "A Robust Ensemble Approach to Learn From Positive and Unlabeled Data Using SVM Base Models", Neurocomputing, Special Issue on Advances in Learning With Label Noise, vol. 160, Jul. 2015, pp. 73-84.


61. Dekervel J., Hompes D., Van Malenstein H., Popovic D., Sagaert X., De Moor B., Van Cutsem E., D'hoore A., Verslype C., Van Pelt J., "Hypoxia driven gene expression is an independent prognostic factor in stage II and III colon cancer patients", Clinical Cancer Research, vol. 20, no. 8, Apr. 2014, pp. 2159-2168.


62. Bonilla Alarcn J., Logist F., Huyck B., Degrve J., De Moor B., Van Impe J., "A simultaneous approach for calibrating rate based models of packed distillation columns based on multiple experiments", Chemical Engineering Science, vol. 104, no. *, 2013, pp. 228-232.


63. Sifrim A., Popovic D., Tranchevent L.-C., Ardeshirdavani A., Sakai R., Konings P., Vermeesch J., Aerts J., De Moor B., Moreau Y., "eXtasy: Variant Prioritization By Genomic Data Fusion", Nature Methods, vol. 10, no. 11, Sep. 2013, pp. 1083-1084.


64. Langone R., Agudelo M., De Moor B., Suykens J. A. K., "Incremental kernel spectral clustering for online learning of non-stationary data", Neurocomputing, vol. 139, Sep. 2014, pp. 246--260.


65. Bornigen D., Tranchevent L.C., Bonachela-Capdevila F., Devriendt K., De Moor B., De Causmaecker P., Moreau Y., "An unbiased evaluation of gene prioritization tools", Bioinformatics, vol. 28, no. 23, Dec. 2012, pp. 3081-3088.


66. Claesen M., De Smet F., Suykens J., De Moor B., "EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines", Journal of Machine Learning Research, http://jmlr.org/papers/v15/claesen14a.html, vol. 15, Jan. 2014, pp. 141-145.


67. De Moor B., Hendrikx P., "International curricula and student mobility", LERU, Advice paper, vol. 12, Apr. 2013, pp. 1-24.


68. Thomas M., De Brabanter K., Suykens J.A.K., De Moor B., "Predicting breast cancer using an expression values weighted clinical classifier", BMC Bioinformatics, vol. 15, no411, 2014, pp. 1-11.


69. Breckpot M., Agudelo M., Meert P., Willems P., De Moor B., "Flood control of the Demer by using Model Predictive Control", Control Engineering Practice, vol. 21, no. 12, Dec. 2013, pp. 1776 - 1787.


70. Adefioye A., Lui X., De Moor B., "Multi-view Spectral Clustering and its Chemical Application", Int. J. Computational Biology and Drug Design Vol. 6, Nos. 1/2, 2013, pp. 32-49.


71. Batselier K., Dreesen P., De Moor B., "A fast iterative orthogonalization scheme for the Macaulay matrix", Journal of Computational and Applied Mathematics, vol. 267, Sep. 2014, pp. 20-32.


72. Fassbender A., Vodolazkaia A., Saunders P., Lebovic D., Waelkens E., De Moor B., D'Hooghe T., "Biomarkers of endometriosis", Fertility Sterility, vol. 99, no. 4, Mar. 2013, pp. 1135-1145.


73. Batselier K., Dreesen P., De Moor B., "The canonical decomposition of Cnd and numerical Grobner and border bases", SIAM Journal of Matrix Analysis and Applications, vol. 35, no. 4, Oct. 2014, pp. 1242-1264.


74. Huyck B., Ferreau H. J., Diehl M., De Brabanter J., Van Impe J., De Moor B. and Logist F., "Towards Online Model Predictive Control on a Programmable Logic Controller: practical considerations", Mathematical Problems in Engineering, vol. 23, Nov. 2012, art. 912603 p.


75. Van Deun K., Van Mechelen I., Thorrez L., Schouteden M., De Moor B., van der Werf M.J., De Lathauwer L., Smilde A.K., Kiers H.A.L., "DISCO-SCA and properly applied GSVD as swinging methods to find common and distinctivve processes", PLoS One, vol. 7, no. 5, May 2012, e37840 p.


76. Thomas M., De Brabanter K., De Moor B., "New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems", BMC Bioinformatics, vol. 15, no. 137, 2014, pp. 1-12.


77. Breckpot M., Agudelo M., De Moor B., "Flood control with Model Predictive Control for river systems with water reservoirs", Journal of Irrigation and Drainage Engineering, vol. 139, no. 7, Jul. 2013, pp. 532-541.


78. Van Gorp T., Cadron I., Daemen A., De Moor B., Waelkens E., Vergote I., "Proteomic biomarkers predicting lymph node involvement in serum of cervical cancer patients. Limitations of SELDI-TOF MS", Proteome Science, vol. 10, no. 1, 2012, 41 p.


79. Van Gorp T., Veldman J., Despierre E., Leunen K., Amant F., Timmerman D., De Moor B., Vergote I., "The subjective impression of the sonographer is superior to the risk of malignancy index algorithm or tumour markers, CA125 and HE4, in the diagnosis of ovarian cancer", European Journal of Cancer, vol. 48, no. 11, 2012, pp. 1649-1656.


80. Liu X, Ji S., Glanzel W., De Moor B., "Multi-View Partitioning via Tensor Methods", IEEE Transactions on Knowledge and Data Engineering, vol. 25, no. 5, pp. 1056-1069.


81. Van Herpe T., Mesotten D., Wouters P., Herbots J., Voets E., Buyens J., De Moor B., Van den Berghe G., "LOGIC-Insulin algorithm-guided versus nurse-directed blood glucose control during critical illness: the LOGIC-1 single-center randomized, controlled clinical trial", Diabetes Care, vol. 36, no. 2, 2013, pp. 188-194.


82. Wu W., Cai H., Sun H., Lu J., Zhao D., Qin Y., Han X., Niu X., Lu C., Xia Y., Wang S., De Moor B., Marchal K., Wang X., "Follicle stimulating hormone receptor G-29A, 919A>G, 2039>G polymorphism and the risk of male infertility : a meta-analysis", Gene, vol. 505, no. *, 2012, pp. 388-392.


83. Xu S., Wu W., Sun H., Lu J., Yuan B., Xia Y., De Moor B., Marchal K., Wang X., Xu P., Cheng W., "Association of the vascular endothelial growth factor gene polymorphisms (-460C/T, +405G/C, and +936T/C) with endometriosis : a meta-analysis", Annals of human genetics, vol. 76, no. *, 2012, pp. 464-471.


84. Batselier K., Dreesen P., De Moor B., "A geometrical approach to finding multivariate approximate LCMs and GCDs", Linear Algebra and its Applications, vol. 438, no. 9, May 2013, pp. 3618-3628.


85. Batselier K., Dreesen P., De Moor B., "The Geometry of Multivariate Polynomial Division and Elimination", SIAM Journal on Matrix Analysis and Applications, vol. 34, no. 1, Feb. 2013, pp. 102-125.


86. Vodolazkaia A., El Aalamat Y., Popovic D., Mihalyi A., Bossuyt X., Kyama C., Fassbender A., Bokor A., Schols D., Huskens D., Meuleman C., Peeraer K., Tomassetti C., Gevaert O., Waelkens E., Kasran A., De Moor B., D'Hooghe T., "Evaluation of a panel of 28 biomarkers for a non-invasive diagnosis of endometriosis", Human Reproduction, vol. 27, no. 9, Sep. 2012, pp. 2698-2711.


87. Yu S., Tranchevent L., Liu X., Glanzel W., Suykens J.A.K., De Moor B., Moreau Y., "Optimized data fusion for kernel k-means clustering", IEEE Transations on Pattern Analysis and Machine Intelligence, vol. 34, no. 5, May 2012, pp. 1031-1038.


88. Fassbender A., Waelkens W., Verbeeck N., Kyama C.M., Bokor A., Vodolazkaia A., Van de Plas R., Meuleman C., Peeraer K., Tomassetti C., Gevaert O., Ojeda F., De Moor B., DHooghe T., "Proteomics Analysis of Plasma for Early Diagnosis of Endometriosis.", Obstetrics & Gynecology, vol. 119, no. 2, part 1, Feb. 2012, pp. 276-285.


89. Iacucci E., Tranchevent LC., Popovic D., Pavlopoulos GA., De Moor B., Schneider R., Moreau Y., "ReLiance: a machine learning and literature-based prioritization of receptor--ligand pairings", Bioinformatics, vol. 28, no. 18, Sep. 2012, pp. i569-i574.


90. De Brabanter K., De Brabanter J., Gijbels I., De Moor B., "Derivative Estimation with Local Polynomial Fitting", Journal of Machine Learning Research, vol. 14, Jan. 2013, pp. 281-301.


91. De Brabanter K., Suykens J.A.K., De Moor B., "Nonparametric Regression via StatLSSVM", Journal of Statistical Software, vol. 55, no. 2, Oct. 2013, pp. --.


92. Iacucci E., Ojeda F., De Moor B., Moreau Y., "Predicting Receptor-ligand Pairs through Kernel Learning", BMC Bioinformatics, vol. 12, no. 336, pp. 1-8.


93. Van Herpe T., Vanhonsebrouck K., Mesotten D., De Moor B., Van den Berghe G., "Glycemic control in the pediatric intensive care unit of Leuven: two years of experience", Journal of Diabetes Science and Technology, vol. 6, no. 1, Jan. 2012, pp. 15-21.


94. Bonilla J., Logist F., Degreve J., De Moor B., Van Impe J., "A reduced order rate based model for distillation in packed columns: dynamic simulation and the differentiation index problem.", chemical Engineering Science, vol. 68, no. 1, 2012, pp. 401-412.


95. Fassbender A., Verbeeck N., Boernigen D., Kyama C.M., Bokor A., Vodolazkaia A., Peeraer K., Tomassetti C., Meuleman C., Gevaert O., Van de Plas R., Ojeda F., De Moor B., Moreau Y., Waelkens E., D'Hooghe T., "Combined mRNA Microarray and Proteomic analysis of eutopic endometrium of women with and without endometriosis.", Human Reproduction, vol. 27, no. 7, May 2012, pp. 2020-2029.


96. Falck T., Dreesen P., De Brabanter K., Pelckmans K., De Moor B., Suykens J.A.K., "Least-Squares Support Vector Machines for the Identification of Wiener-Hammerstein Systems", Control Engineering Practice, vol. 20, no. 11, Nov. 2012, pp. 1165-1174.


97. Signoretto M., Van De Plas R., De Moor B., Suykens J. A. K., "Tensor Versus Matrix Completion: a Comparison with Application to Spectral Data", IEEE Signal Processing Letters, vol. 18, no. 7, Jul. 2011, pp. 403 - 406.


98. Zarrineh P., Fierro Gutierrez A., Sanchez Rodriguez A., De Moor B., Engelen K., Marchal K., "COMODO : an adaptive coclustering strategy to identify conserved coexpression modules between organisms", Nucleic Acids Research, vol. 39, no. 7, 2011, e41 p.


99. De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., "Kernel Regression in the Presence of Correlated Errors", Journal of Machine Learning Research, vol. 12, Jun. 2011, pp. 1955 - 1976.


100. De Brabanter K., Karsmakers P., De Brabanter J., Suykens J.A.K., De Moor B., "Confidence Bands for Least Squares Support Vector Machine Classifiers: A Regression Approach", Pattern Recognition, vol. 45, no. 6, Jun. 2012, pp. 2280-2287.


101. Yu S., Liu X., Tranchevent L., Glanzel W., Suykens J.A.K., De Moor B., Moreau Y., "Optimized data fusion for K-means Laplacian Clustering", Bioinformatics, vol. 27, no. 1, Jan. 2011, pp. 118-126.


102. Smeets A., Daemen A., Van den Bempt I., Gevaert O., Claes B., Wildiers H., Drijkoningen R., Van Hummelen P., Lambrechts D., De Moor B., Neven P., Sotiriou C., Van Dorpe T., Paridaens R., Christiaens MR., "Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs", Breast Cancer Research and Treatment, vol. 129, no. 3, Oct. 2011, pp. 767-76.


103. De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., "Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression", IEEE Transactions on Neural Networks, vol. 22, no. 1, Jan. 2011, pp. 110-120.


104. Van Herpe T., Gielen M., Vanhonsebrouck K., Wouters P., Van den Berghe G., De Moor B., Mesotten D., "Assessment of blood glucose control in the pediatric intensive care unit: Extension of the Glycemic Penalty Index towards children and infants", Journal of Diabetes Science and Technology, vol. 5, no. 2, Mar. 2011, pp. 353-357.


105. Hussain U., Daemen A., Missfelder-Lobos H., De Moor B., Timmerman D., Bourne T., Lees C., "Umbilical artery pulsatility index and fetal abdominal circumference in isolated gastroschisis", Ultrasound in Obstetrics and Gynecology, vol. 38, 2011, pp. 538-542.


106. Van Gorp T., Cadron I., Despierre E., Daemen A., Leunen K., Amant F., Timmerman D., De Moor B., Vergote I., "HE4 and CA125 as a diagnostic test in ovarian cancer: prospective validation of the Risk of Ovarian Malignancy Algorithm", British Journal of Cancer, vol. 104, no. 5, 2011, pp. 863-870.


107. Daemen A., Timmerman D., Van den Bosch T., Bottomley C., Kirk E., Van Holsbeke C., Valentin L., Bourne T., De Moor B., "Improved modeling of clinical data with kernel methods", Artificial Intelligence in Medicine, vol. 54, no. 2, Feb. 2012, pp. 103-114.


108. Nitsch D., Goncalves JP., Ojeda F., De Moor B., Moreau Y., "Candidate Gene Prioritization by Network Analysis of Differential Expression using Machine Learning Approaches", BMC Bioinformatics, vol. 11, no. 460, Sep. 2010, pp. 1-.


109. Storms V., Claeys M., Sanchez A., De Moor B., Verstuyf A., Marchal K., "The Effect of Orthology and Coregulation on Detecting Regulatory Motifs", PLoS ONE, vol. 5, no. 2, Feb. 2010, e8938 p.


110. Luts J., Ojeda F., Van de Plas R., De Moor B., Van Huffel S., Suykens J.A.K, "A tutorial on support vector machine-based methods for classification problems in chemometrics", Analytica Chimica Acta, vol. 665, no. 2, Apr. 2010, pp. 129-145.


111. Van den Bosch T., Daemen A., Gevaert O., De Moor B., Timmerman D., "Building decision trees for diagnosing intracavitary uterine pathology", Facts, Views & Vision in ObGyn, vol. 1, no. 3, Dec. 2009, pp. 182-188.


112. Daemen A., Signoretto M., Gevaert O., Suykens JAK., De Moor B., "Improved microarray-based decision support with graph encoded interactome data", PLoS ONE, vol. 5, no. 4, Apr. 2010, pp. 1-16.


113. Yu S., Falck T., Daemen A., Tranchevent L.C., Suykens J.A.K., De Moor B., Moreau Y., "L2-norm multiple kernel learning and its application to biomedical data fusion", BMC Bioinformatics, vol. 11, no. 309, Jun. 2010, pp. 1-53.


114. Tranchevent L., Capdevila F.B., Nitsch D., De Moor B., De Causmaecker P., Moreau Y., "A guide to web tools to prioritize candidate genes", Briefings in Bioinformatics, vol. 12, no. 1, Jan. 2011, pp. 22-32.


115. Barjas Blanco T., Willems P., Po-Kuan Chiang P., Haverbeke N., Berlamont J., De Moor B., "Flood Regulation using Nonlinear Model Predictive Control", Control Engineering Practice, vol. 18, 2010, pp. 1147-1157.


116. Vanoirbeek E., Eelen G., Verlinden L., Marchal K., Engelen K., De Moor B., Beullens I., Marcelis S., De Clercq P., Bouillon R., Verstuyf A., "Microarray analysis of MCF-7 breast cancer cells treated with 1,25-dihydroxyvitamin D3 or a 17-methyl-D-ring analog", Anticancer Research, vol. 29, no. 9, 2009, pp. 3585-3590.


117. Gevaert O., Daemen A., De Moor B., Libbrecht L., "A Taxonomy of Epithelial Human Cancer and their Metastases", BMC Medical Genomics, vol. 2, no. 69, Dec. 2009, pp. 1-33.


118. Sahhaf S., De Brabanter K., Degraeve R., Suykens J.A.K., De Moor B., Groeseneken G., "Modelling of Charge Trapping/De-trapping Induced Voltage Instability in High-k Gate Dielectrics", IEEE Transactions on Device and Materials Reliability, vol. 12, no. 1, Mar. 2012, pp. 152-157.


119. Lemmens K., De Bie T., Dhollander T., De Keersmaecker S., Thijs I.M., Schoofs G., De Weerdt A., De Moor B., Vanderleyden J., Collado-Vides J., Engelen K., Marchal K., "DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli.", Genome Biology, vol. 10, no 3, 2009, pp. R27.


120. Bonilla J., Diehl M., Logist F., De Moor B. and Van Impe J., "An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models", Computers and Chemical Engineering, vol. 34, no. *, 2010, pp. 953-964.


121. Janssens F., Zhang L., De Moor B., Glanzel W., "Hybrid Clustering for Validation and Improvement of Subject-Classification Schemes", Information Processing & Management, vol. 45, no. 6, Nov. 2009, pp. 683-702.


122. Sun H., Lemmens K., Van den Bulcke T., Engelen K., De Moor B., Marchal K., "ViTraM: Visualization of Transcriptional Modules", Bioinformatics, vol. 25, no. 18, Jul. 2009, pp. 2450-2451.


123. Habayeb O., Daemen A., Timmerman D., De Moor B., Hackett GA., Bourne T., Lees CC., "The relationship between first trimester fetal growth, pregnancy associated plasma protein A levels and birthweight", Prenatal Diagnosis, vol. 30, no. 9, Sep. 2010, pp. 873-878.


124. Gravendeel L., Kouwenhoven M., Gevaert O., de Rooi J., Stubbs A., Duijm E., Daemen A., Bleeker F., Bralten L., Kloosterhof M., De Moor B., Eilers P.H., van der Spek P., Kros J., Sillevis Smitt P., van den Bent M., French P., "Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology", Cancer Research, vol. 69, no. 23, Dec. 2009, pp. 9065-6072.


125. van Malenstein H., Gevaert O., Libbrecht L., Daemen A., Allemeersch J., Nevens F., Van Cutsem E., Cassiman D., De Moor B., Verslype C., van Pelt J., "A Seven-Gene Set Associated with Chronic Hypoxia of Prognostic Importance in Hepatocellular Carcinoma", Clinical Cancer Research, vol. 16, no. 16, Aug. 2010, pp. 4278-4288.


126. Sun H., Lemmens K., Van den Bulcke T., Engelen K., De Moor B., Marchal K., "Layout and Post-Processing of Transcriptional Modules", IEEE Computer Society, in the proceedings of IJCBS 2009, vol. 1, no. 1, Aug. 2009, pp. 1-6.


127. Sun H., De Bie T., Storms V., Fu Q., Dhollander T., Lemmens K., Verstuyf A., De Moor B., Marchal K., "ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules.", BMC Bioinformatics, vol. 10, no. Suppl 1, Jan. 2009, pp. S30-.


128. Yu S., Tranchevent L.C., De Moor B., Moreau Y., "Gene prioritization and clustering by multi-view text mining", BMC Bioinformatics, doi:10.1186/1471-2105-11-28, vol. 11, no. 28, Jan. 2010, pp. 1-48.


129. Van Herpe T., De Moor B., Van den Berghe G., "Ingredients for adequate evaluation of blood glucose algorithms applied to the critically ill", Critical Care, vol. 13, no. 102, Jan. 2009, pp. 1-2.


130. Vlasselaers D., Vandewiele K., Van Herpe T., De Moor B., Van den Berghe G., "Implementing tight glycaemic control: performance of bedside glucometers", Critical Care, 27th International Symposium on Intensive Care and Emergency Medicine [abstract], vol. 11, no. Suppl 2, Mar. 2007, pp. S56-S57.


131. Daemen A., Jurkovic D., Van Holsbeke C., Guerriero S., Testa AC., Czekierdowski A., Fruscio R., Paladini D., Neven P., Rossi A., Bourne T., De Moor B., Timmerman D., "The effect of cancer prevalence on the use of different cut-off levels and the performance of mathematical models to distinguish benign from malignant adnexal masses", Ultrasound in Obstetrics and Gynecology, vol. 37, no. 2, 2010, pp. 226-231.


132. Daemen A., Valentin L., Fruscio R., Van Holsbeke C., Melis GB., Guerriero S., Czekierdowski A., Jurkovic D., Ombelet W., Rossi A., Vergote I., Bourne T., De Moor B., Timmerman D., "Improving the preoperative classification of adnexal masses as benign or malignant by second stage tests", Ultrasound in Obstetrics and Gynecology, vol. 37, no. 1, 2011, pp. 100-106.


133. De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., "Optimized Fixed-Size Kernel Models for Large Data Sets", Computational Statistics & Data Analysis, vol. 54, no. 6, Jun. 2010, pp. 1484-1504.


134. Leunen K., Gevaert O., Daemen A., Vanspauwen V., Michils G., De Moor B., Moerman P., Vergote I. and Legius E., "Recurrent copy number alterations in BRCA1-mutated ovarian tumors alter biological pathways", Human Mutation, vol. 30, no. 12, Dec. 2009, pp. 1693-1702.


135. Gevaert O., De Moor B., "Prediction of cancer outcome using DNA microarray technology: past, present and future", Expert Opinion on Medical Diagnostics, vol. 3, no. 2, Feb. 2009, pp. 157-165.


136. Barjas Blanco T., Cannon M., De Moor B., "On efficient computation of low-complexity controlled invariant sets for uncertain linear systems", International Journal of Control, vol. 83, no. 7, Jul. 2010, pp. 1339-1346.


137. Bottomley C., Daemen A., Mukri F., Kirk E., Papageorghiou A.T., Timmerman D., De Moor B., Bourne T., "Revisiting very early first trimester growth - influence of ethnic background and maternal age using transvaginal ultrasonography (TVS)", Human Reproduction, Abstract Book of the 24th ESHRE Annual Meeting, Spain July 2008, vol. 23, no. Suppl 1, Jul. 2008, pp. i43-i45.


138. Daemen A., Bottomley C., Mukri F., Kirk E., Papageorghiou A., Timmerman D., De Moor B., Bourne T., "A new statistical method for longitudinal assessment of early fetal growth - prospective testing of a functional linear discriminant analysis model", Human Reproduction, Abstract Book of the 24th ESHRE Annual Meeting, Spain July 2008, vol. 23, no. Suppl 1, Jul. 2008, pp. i43-i45.


139. Vertommen J., Janssens F., De Moor B., Duflou J. R., "Multiple-vector user profiles in support of knowledge sharing", Information Sciences, vol. 178, no. 17, Sep. 2008, pp. 3333-3346.


140. Van Holsbeke C., Daemen A., Yazbek J., Holland T.K., Bourne T., Mesens T., Lannoo L., De Moor B., de Jonge E., Testa A.C., Valentin L., Jurkovic D., Timmerman D., "Ultrasound methods to distinguish between malignant and benign adnexal masses in the hands of examiners with different levels of experience", Ultrasound in Obstetrics and Gynecology, vol. 34, no. 4, Oct. 2009, pp. 454-461.


141. Van Holsbeke C., Daemen A., Yazbek J., Holland T.K., Bourne T., Mesens T., Lannoo L., Boes A.-S., Joos A., Van De Vijver A., Roggen N., De Moor B., de Jonge E., Testa A.C., Valentin L., Jurkovic D., Timmerman D., "Ultrasound experience substantially impacts on diagnostic performance and confidence when adnexal masses are classified using pattern recognition", Gynecologic and Obstetric Investigation, vol. 69, no. 3, Jan. 2010, pp. 160-168.


142. Van den Bosch T., Verguts J., Daemen A., Gevaert O., Domali E., Claerhout F., Vandenbroucke V., De Moor B., Deprest J., Timmerman D., "Reply to Re: Pain experienced during transvaginal ultrasound, saline contrast sonohysterography, hysteroscopy and office sampling: a comparative study", Ultrasound in Obstetrics and Gynecology, vol. 32, no. 1, Jul. 2008, pp. 118-119.


143. Bokor A., Kyama C.M., Vercruysse L., Fassbender A., Gevaert O., Vodolazkaia A., De Moor B., D'Hooghe T., "Density of Small Diameter Sensory Nerve Fibers in Endometrium: a Semi-Invasive Diagnostic Test for Minimal to Mild Endometriosis", Human Reproduction, vol. 24, no. 12, Dec. 2009, pp. 3025-32.


144. Van Herpe T., Pelckmans K., De Brabanter J., Janssens F., De Moor B., Van den Berghe G., "Statistical approach of assessing the reliability of glucose sensors: The GLYCENSIT-procedure", Journal of Diabetes Science and Technology, vol. 2, no. 6, Nov. 2008, pp. 939-947.


145. Mihalyi A., Gevaert O., Kyama C., Simsa P., Pochet N., De Smet F., De Moor B., Meuleman C., Billen J., Blanckaert N., Vodolazkaia A., Fulop V., D'Hooghe T., "Non-invasive diagnosis of endometriosis based on a combined analysis of six plasma biomarkers", Human Reproduction, vol. 25, no. 3, 2010, pp. 654-664.


146. Kyama C.M., Mihalyi A., Gevaert O., Waelkens E., Simsa P., Van de Plas R., Meuleman C., De Moor B., D'Hooghe T.M., "Evaluation of endometrial biomarkers for semi-invasive diagnosis of endometriosis", Fertility and Sterility, vol. 95, no. 4, Mar. 2011, pp. 1338-43.


147. Cadron I., Van Gorp T., Amant F., Vergote I., Moerman P., Waelkens E., Daemen A., Van de Plas R., De Moor B., Zeillinger R., "The use of laser microdissection and SELDI-TOF MS in ovarian cancer tissue to identify protein profiles", Anticancer Research, vol. 29, no. 4, Apr. 2009, pp. 1039-1046.


148. Van den Bosch T., Van Schoubroeck D., Daemen A., Domali E., Vandenbroucke V., De Moor B., Deprest J., Timmerman D., "Lidocaine does not reduce pain perception during gel instillation sonography or subsequent office hysteroscopy : results of a randomized trial", Gynecologic and Obstetric Investigation, vol. 71, 2011, pp. 236-239.


149. Bottomley C., Daemen A., Mukri F., Papageorghiou A.T., Kirk E., Pexsters A., De Moor B., Timmerman D., Bourne T., "Functional linear discriminant analysis: a new longitudinal approach to the assessment of embryonic growth", Human Reproduction, vol. 24, no. 2, Feb. 2009, pp. 278-283.


150. Van Herpe T., De Moor B., Van den Berghe G., "Towards closed-loop glycaemic control", Best Practice & Research Clinical Anaesthesiology, vol. 23, Mar. 2009, pp. 69-80.


151. Pexsters A., Daemen A., Bottomley C., Van Schoubroeck D., De Catte L., De Moor B., D'Hooghe T., Lees C., Timmerman D., Bourne T., "New crown-rump length curve based on over 3500 pregnancies", Ultrasound in Obstetrics and Gynecology, vol. 35, no. 6, Jun. 2010, pp. 650-655.


152. Debucquoy A., Haustermans K., Daemen A., Aydin S., Libbrecht L., Gevaert O., De Moor B., Tejpar S., McBride W.H., Penninckx F., Scalliet P., Stroh C., Vlassak S., Sempoux C., Machiels J-P., "Molecular response to cetuximab and efficacy of preoperative cetuximab-based chemoradiation in rectal cancer", Journal of Clinical Oncology, vol. 27, no. 17, Jun. 2009, pp. 2751-2757.


153. Van den Bosch T., Betsas G., Van Schoubroeck D., Daemen A., Vandenbroucke V., Cornelis A., De Moor B., Deprest J., Timmerman D., "Gel infusion sonography in the evaluation of the uterine cavity", Ultrasound in Obstetrics and Gynecology, vol. 34, no. 6, Dec. 2009, pp. 711-714.


154. Van Loo P., Aerts S., Thienpont B., De Moor B., Moreau Y., Marynen P., "ModuleMiner: improved computational detection of cis-regulatory modules. Different modes of gene regulation in embryonic development and adult tissues?", Genome Biology, vol. 9, Apr. 2008, pp. R66-.


155. Bottomley C., Daemen A., Mukri F., Papageorghiou A.T., Kirk E., Pexsters A., De Moor B., Timmerman D., Bourne T., "Assessing first trimester growth: the influence of ethnic background and maternal age", Human Reproduction, vol. 24, no. 2, Feb. 2009, pp. 284-290.


156. Van den Bosch T., Vandenbroucke V., Daemen A., Domali E., Van Schoubroeck D., De Moor B., Deprest J., Timmerman D., "Removal of focal intracavity lesions results in cessation of abnormal uterine bleeding in the vast majority of women", Ultrasound in Obstetrics and Gynecology, vol. 33, no. 5, Apr. 2009, pp. 612-613.


157. Tranchevent L., Barriot R., Yu S., Van Vooren S., Van Loo P., Coessens B., Aerts S., De Moor B., Moreau Y., "ENDEAVOUR update: a web resource for gene prioritization in multiple species", Nucleic Acids Research, Web Server issue, vol. 36, no. 1, Jun. 2008, pp. 377-384.


158. Daemen A., Gevaert O., Ojeda F., Debucquoy A., Suykens J.A.K., Sempoux C., Machiels J.-P., Haustermans K., De Moor B., "A kernel-based integration of genome-wide data for clinical decision support", Genome Medicine, vol. 1, no. 4, Apr. 2009, pp. 39.1-39.17.


159. Kirk E., Daemen A., Papageorghiou AT., Bottomley C., Condous G., De Moor B., Timmerman D., Bourne T., "Why are some ectopic pregnancies characterized as pregnancies of unknown location at the initial transvaginal ultrasound examination?", Acta Obstetricia et Gynecologica Scandinavica, vol. 87, no. 11, Nov. 2008, pp. 1150-1154.


160. Bonilla J., Diehl M., Logist F., De Moor B., Van Impe J., "A convexity-based homotopy method for nonlinear optimization in model predictive control", Optimal control applications & methods, vol. 31, no. 5, 2010, pp. 393-414.


161. Vlasselaers D., Van Herpe T., Milants I., Eerdekens M., Wouters P., De Moor B., Van den Berghe G., "Blood glucose measurements in arterial blood of Intensive Care Unit patients submitted to tight glycemic control: agreement between bedside tests", Journal of Diabetes Science and Technology, vol. 2, no. 6, Nov. 2008, pp. 932-938.


162. van den Bosch T., Daemen A., Van Schoubroeck D., Pochet N., De Moor B., Timmerman D., "Occurrence and outcome of residual trophoblastic tissue: a prospective study", Journal of Ultrasound in Medicine, vol. 27, no. 3, Mar. 2008, pp. 357-361.


163. Lemmens K., De Bie T., Dhollander T., Monsieurs P., De Moor B., Collado-Vides J., Engelen K., Marchal K., "The Condition-dependent transcriptional network in Escherichia coli", Annals New York Academie of Science, vol. 1158, Mar. 2009, pp. 29-35.


164. Van Herpe T., De Brabanter J., Beullens M., De Moor B., Van den Berghe G., "Glycemic Penalty Index for adequately comparing blood glucose control algorithms", Critical Care, vol. 12, no. R24, Feb. 2008, pp. 1-14.


165. Rodriguez V., Janssens F., Debackere K., De Moor B., "On material transfer agreements and visibility of researchers in biotechnology", Journal of Informetrics, vol. 2, no. 1, Jan. 2008, pp. 89-100.


166. Yu S., Van Vooren S., Tranchevent L.C., De Moor B., Moreau Y., "Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining", Bioinformatics, vol. 24, no. 16, Aug. 2008, pp. i119-125.


167. Van Holsbeke C., Yazbek J., Holland T.K., Daemen A., De Moor B., Testa A.C., Valentin L., Jurkovic D., Timmerman D., "Real-time ultrasound vs. evaluation of static images in the preoperative assessment of adnexal masses", Ultrasound in Obstetrics and Gynecology, vol. 32, no. 6, Nov. 2008, pp. 828-831.


168. Ojeda F., Suykens J.A.K, De Moor B., "Low rank updated LS-SVM classifiers for fast variable selection", Neural Networks, Special Issue on Advances in Neural Networks Research: IJCNN 2007, vol. 21, no. 2-3, Mar.-Apr. 2008, pp. 437-449.


169. Janssens F., Glanzel W., De Moor B., "A hybrid mapping of information science", Scientometrics, vol. 75, no. 3, Jun. 2008, pp. 607-631.


170. Vanluyten B., Willems J.C., De Moor B., "Equivalence of State Representations for Hidden Markov Models", Systems & Control letters, vol. 57, no. 5, 2008, pp. 410-419.


171. Agudelo M., Baes M., Espinosa J., Diehl M., De Moor B., "Positive Polynomial Constraints for POD-based Model Predictive Controllers", IEEE Transactions on Automatic Control, Special Issue on Positive Polynomials in Control, vol. 54, no. 5, May 2009, pp. 988-999.


172. Van Vooren S., Coessens B., De Moor B., Moreau Y., Vermeesch J. R., "Array comparative genomic hybridization and computational genome annotation in constitutional cytogenetics: suggesting candidate genes for novel submicroscopic chromosomal imbalance syndromes", Genetics in Medicine, vol. 9, no. 9, Sep. 2007, pp. 642-649.


173. Gevaert O., De Moor B., Timmerman D., "Optimizing variable selection and cost using a genetic algorithm for modelling adnexal masses with Bayesian networks", Ultrasound in Obstetrics and Gynecology, Special Issue: 17th World Congress on Ultrasound in Obstetrics and Gynecology, vol. 30, no. 4, Oct. 2007, pp. 412.


174. Zhao H., Engelen K., De Moor B., Marchal K., "CALIB : a bioconductor package for estimating absolute expression levels from two-color microarray data", Bioinformatics, vol. 23, no. 13, 2007, pp. 1700-1701.


175. Gevaert O., Van Vooren S., De Moor B., "A framework for elucidating regulatory networks based on prior information and expression data", Annals of the New York Academy of Sciences, vol. 1115, Dec. 2007, pp. 240-248.


176. Rodriguez V., Janssens F., Debackere K., De Moor B., "Material transfer agreements and collaborative publication activity: the case of a biotechnology network.", Research Evaluation, vol. 16, no. 2, Jun. 2007, pp. 123-136.


177. Kyama CM., Mihalyi A., Gevaert O., Simsa P., Waelkens E., Van de Plas R., Mwenda JM., Meuleman C., De Moor B., D'Hooghe TM., "Endometrial biomarkers for semi-invasive diagnosis of endometriosis", Human Reproduction, Abstracts of the 23rd Annual Meeting of the European Society of Human Reproduction and Embryology, vol. 22, no. Supplement 1, Jul. 2007, pp. i106-i108.


178. van Oeffelen L., Cornelis P., Van Delm W., De Ridder F., De Moor B., Moreau Y., "Detecting cis-regulatory binding sites for cooperatively binding proteins", Nucleic Acids Research, vol. 36, no. 8:e46, May 2008, pp. 1-6.


179. Dhollander T., Sheng Q., Lemmens K., De Moor B., Marchal K., Moreau Y., "Query-driven module discovery in microarray data", Bioinformatics, vol. 23, no. 19, Oct. 2007, pp. 2573-2580.


180. Vanluyten B., Willems J.C., De Moor B., "Structured Nonnegative Matrix Factorization with Applications to Hidden Markov Realization and Clustering", Linear Algebra and its applications, vol. 429, no. *, 2008, pp. 1409-1424.


181. Gevaert O., Pochet N., De Smet F., Engelen K., Van Gorp T., Amant F., De Moor B., Timmerman D., Vergote I., "Expression profiling to predict the clinical behaviour of ovarian cancer fails independent evaluation", BMC Cancer, vol. 8, no. 18, Jan. 2008, pp. 1-26.


182. Van den Bosch T., Verguts J., Daemen A., Gevaert O., Domali E., Claerhout P., Vandenbroucke V., De Moor B., Deprest J., Timmerman D., "Experienced pain during vaginal ultrasound, hydrosonography, hysteroscopy and office sampling: a comparative study", Ultrasound in Obstetrics and Gynecology, vol. 31, no. 3, Feb. 2008, pp. 346-351.


183. Van Herpe T., Espinoza M., Haverbeke N., De Moor B., Van den Berghe G., "Glycemia prediction in critically ill patients using an adaptive modeling approach", Journal of Diabetes Science and Technology, vol. 1, no. 3, May 2007, pp. 348-356.


184. Van Mieghem T., Leunen K., Pochet N., De Moor B., De Smet F., Amant F., Berteloot P., Timmerman D., Vanden Bempt I., Drijkoningen M., Wildiers H., Paridaens R., Smeets A., Hendrickx W., Van Limbergen E., Christaens M.R., Vergote I., Neven P., "Body mass index and HER-2 overexpression in breast cancers from patients over 50 years of age.", Breast Cancer Research and Treatment vol. 106, no. 1, 2007, pp. 127-133.


185. Van Leemput K., Van den Bulcke T., Dhollander T., De Moor B., Marchal K., van Remortel P., "Exploring the operational characteristics of inference algorithms for transcriptional networks by means of synthetic data", Artificial Life, Special Issue on Systems Biology, vol. 14, no. 1, Jan. 2008, pp. 49--63.


186. Allemeersch J., Van Vooren S., Hannes F., De Moor B., Vermeesch J., Moreau Y., "An experimental loop design for the detection of constitutional chromosomal aberrations by array CGH", \em{BMC Bioinformatics}, vol. 10, no. 380, 2009, 29 p.


187. Hostens E., Dehaene J., De Moor B., "Stabilizer state breeding", Physical Review A, vol. 74, no. 062318, Dec. 2006, pp. .


188. Engelen K., Naudts B., De Moor B., Marchal K., "A calibration method for estimating absolute expression levels from microarray data", Bioinformatics, vol. 22, no. 10, May 2006, pp. 1251-8.


189. Menten B., Maas N., Thienpont B., Buysse K., Vandesompele J., Melotte C., de Ravel T., Van Vooren S., Balikova I., Backx L., Janssens S., De Paepe A., De Moor B., Moreau Y., Marynen P., Fryns JP., Mortier G., Devriendt K., Speleman F., Vermeesch JR., "Emerging patterns of cryptic chromosomal imbalances in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of the literature", J Med Genet, vol. 43, no. 8, Feb. 2006, pp. 625-633.


190. Gillijns S., De Moor B., "Unbiased Minimum-Variance Input and State Estimation for Linear Discrete-Time Systems with Direct Feedthrough", Automatica, vol. 43, no. 5, May 2007, pp. 934-937.


191. Espinoza M., Suykens J.A.K., Belmans R., De Moor B., "Electric Load Forecasting - Using kernel based modeling for nonlinear system identification", IEEE Control Systems Magazine, Special Issue on Applications of System Identification, vol. 27, no. 5, Oct. 2007, pp. 43-57.


192. Rodriguez V., Janssens F., Debackere K., De Moor B., "Do material transfer agreements affect the choice of research agendas? The case of biotechnology in Belgium", scientometrics, vol. 71, no. 2, Jun. 2007, pp. 239-269.


193. Van Herpe T., Espinoza M., Pluymers B., Goethals I., Wouters P., Van den Berghe G., and De Moor B., "An adaptive input output modeling approach for predicting the glycemia of critically ill patients", Physiological Measurement, vol. 27, Sep. 2006, pp. 1057-1069.


194. Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., "Least Conservative Support and Tolerance Tubes", IEEE Transactions on Information Theory, vol. 55, no. 8, Aug. 2009, pp. 3799-3806.


195. Pelckmans K., Suykens J.A.K., De Moor B., "A convex Approach to Validation-based Learning of the Regularization Constant", IEEE Transactions on Neural Networks, vol. 18, no. 3, May 2007, pp. 917-920.


196. Hostens E., Dehaene J., De Moor B., "Publishers note : Asymptotic adaptive bipartite entanglement-distillation procotol (vol. 73, art. no. 062337, 2006)", Physical Review A, Atomic, Molecular and Optical Physics, vol. 74, no. 1, 2006, 1 p.


197. Hostens E., Dehaene J., De Moor B., "Asymptotic adaptive bipartite entanglement distillation protocol", Physical Review A, vol. 73, no. 062337, Jun. 2006, pp. .


198. Gevaert O., De Smet F., Timmerman D., Moreau Y. and De Moor B., "Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks", Bioinformatics, ISMB 2006 Conference Proceedings, August 6-10, Fortaleza, Brazil, vol. 22, no. 14, Jul. 2006, pp. e184-e190.


199. Van Vooren S., Thienpont B., Menten B., Speleman F., De Moor B., Vermeesch J. R., Moreau Y., "Mapping Biomedical Concepts onto the Human Genome by Mining Literature on Chromosomal Aberrations", Nucleic Acids Research, vol. 35, no. 8, Apr. 2007, pp. 2533-2543.


200. Wan Z., Pluymers B., Kothare M.V., De Moor B., "Comments on Efficient Robust Constrained Model Predictive Control with A Time Varying Terminal Constraint Set'' [Systems & Control Letters 48 (2003) 375-383]", Systems and Control Letters, vol. 55, no. 7, Jul. 2006, pp. 618-621.


201. Gillijns S., De Moor B., "Model Error Estimation in Ensemble Data Assimilation", Nonlinear Processes in Geophysics, vol. 14, Jan. 2007, pp. 59-71.


202. Gevaert O., Pochet N., De Smet F., Van Gorp T., De Moor B., Timmerman D., Amant F., Vergote I., "Molecular profiling of platinum resistant ovarian cancer: use of the model in clinical practice", International Journal of Cancer, vol. 119, no. 6, Sep. 2006, pp. 1511-1512.


203. Monsieurs P.; Thijs G.; Fadda A.; De Keersmaecker S.; Vanderleyden J.; De Moor B.; Marchal K., "More robust detection of motifs in coexpressed genes by using phylogenetic information", BMC Bioinformatics, vol. 20, no. 7(1), Mar. 2006, 160 p.


204. Gillijns S., De Moor B., "Unbiased Minimum-Variance Input and State Estimation for Linear Discrete-Time Systems", Automatica, vol. 43, Jan. 2007, pp. 111-116.


205. Hostens E., Dehaene J., De Moor B., "Hashing protocol for distilling multipartite Calderbank-Shor-Steane states", Physical Review A, vol. 73, no. 042316, Apr. 2006, pp. .


206. Janssens F., Leta J., Glanzel W., De Moor B., "Towards Mapping Library and Information Science", Information Processing & Management, Special Issue on Informetrics, vol. 42, no. 6, Dec. 2006, pp. 1614-1642.


207. Vanluyten B., Willems J.C., De Moor B., "Recursive Filtering using Quasi-Realizations", Lecture Notes in Control and Information Sciences, vol. 341, Aug. 2006, pp. 367-374.


208. Gevaert O., De Smet F., Kirk E., Van Calster B., Bourne T., Van Huffel S., Moreau Y., Timmerman D., De Moor B and Condous G., "Predicting the outcome of pregnancies of unknown location: Bayesian networks with expert prior information compared to logistic regression", Human Reproduction, vol. 21, no. 7, Jul. 2006, pp. 1824-1831.


209. Lemmens K., Dhollander T., De Bie T., Monsieurs P., Engelen K., Smets B., Winderickx J., De Moor B., Marchal K., "Inferring transcriptional module networks from ChIP-chip-, motif- and microarray data", Genome Biology, vol. 7, no. 5, May 2006, pp. R37.1-R37.14.


210. Van den Bulcke T., Van Leemput K., Naudts B., van Remortel P., Ma H., Verschoren A., De Moor B., Marchal K., "SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms", BMC Bioinformatics, vol. 7, no. 43, Jan. 2006, pp. 7-43.


211. Verlinden L., Eelen G., Beullens I., Van Camp M., Van Hummelen P., Engelen K., Van Hellemont R., Marchal K., De Moor B., Beullens M., Bollen M., Mathieu C., Bouillon R., Verstuyf A., "Characterization of the Condensin Component Cnap1 and the Protein Kinase Melk as E2F-Target Genes", J. Biol. Chem., vol. 280, no. 45, 2005, pp. 37319-37330.


212. Kirk E., Van Calster B., Condous G., Papageorghiou A.T., Gevaert O., Van Huffel S., De Moor B., Timmerman D., Bourne T., "Ectopic pregnancy: using the hCG ratio to select women for expectant or medical management", Acta Obstetricia et Gynecologica Scandinavica, vol. 90, no. 3, Mar. 2011, pp. 264-275.


213. Van Gorp T., De Smet F., Pochet N., Engelen K., Van Hummelen P., Suykens J.A.K., Marchal K., Amant F., Moreau Y., Timmerman D., De Moor B., Vergote I., "Predicting the clinical behavior of ovarian cancer from gene expression profiles", International Journal of Gynecological Cancer, 14th International meeting of the ESGO (ESGO 14), Istanbul, Turkey, vol. 15, no. S2, Sep. 2005, pp. 66.


214. De Smet F., Pochet N.L.M.M., De Moor B.L.R., Van Gorp T., Timmerman D., Vergote I.B., Hartmann L.C., Damokosh A.I., Hoersch S., "Independent test set performance in the prediction of early relapse in ovarian cancer with gene expression profiles", Clinical Cancer Research, vol. 11, no. 21, Nov. 2005, pp. 7958-7959.


215. Condous G., Kirk E., Lu C., Van Huffel S., Gevaert O., De Moor B., De Smet F., Timmerman D., Bourne T., "Diagnostic accuracy of varying discriminatory zones for the prediction of ectopic pregnancy in women with a pregnancy of unknown location", Ultrasound in Obstetrics and Gynecology, vol. 26, no. 7, Dec. 2005, pp. 770-775.


216. Rovas L., Sladkevicius P., Strobel E., De Smet F., De Moor B., Valentin L., "Three-dimensional ultrasound assessment of the cervix for predicting time to spontaneous onset of labor and time to delivery in prolonged pregnancy.", Ultrasound in Obstetrics and Gynecology, vol. 28, no. 2, 2006, pp. 306-311.


217. Van den Nest M., Dehaene J., De Moor B., "Finite set of invariants to characterize local Clifford equivalence of stabilizer states", Physical Review A, vol. 72, May 2005, pp. 014307-.


218. Van den Nest M., Dehaene J., De Moor B., "Local unitary versus Local Clifford equivalence of stabilizer states", Physical Review A, vol. 71 , Mar. 2005, pp. 062323-.


219. Haesen E., Espinoza M., Pluymers B., Goethals I., Thong V., Driesen J., Belmans R., De Moor B., "Optimal Placement and Sizing of Distributed Generator Units using Genetic Optimization Algorithms", Electrical Power Quality and Utilisation Journal, vol. 11, no. 1, Jul. 2005, pp. 97-104.


220. Durinck S., Moreau Y., Kasprzyk A., De Moor B., Brazma A., Huber W., "BioMart and Bioconductor: A powerful link between biological databases and microarray data analysis", Bioinformatics, vol. 21, no. 16, May 2005, pp. 3439-3440.


221. Pelckmans K., De Brabanter J., Suykens J.A.K, De Moor B., "Handling Missing Values in Support Vector Machine Classifiers", Neural Networks, vol. 18, 2005, pp. 684-692.


222. Van Hellemont R., Monsieurs P., Thijs G., De Moor B., Van de Peer Y., Marchal K., "A novel approach to identifying regulatory motifs in distantly related genomes.", Genome Biology, vol. 6, no. R113, Dec. 2005, pp. R113.1-R113.19.


223. De Smet F., De Brabanter J., Konstantinovic M.L., Pochet N., Van den Bosch T., Moerman P., De Moor B., Vergote I., Timmerman D., "New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography", Ultrasound in Obstetrics and Gynecology, vol. 27, no. 6, May 2006, pp. 664-671.


224. Boets J., De Cock K., Espinoza M., De Moor B., "Clustering time series, subspace identification and cepstral distances", Communications in Information and Systems, Special Issue Dedicated to the 70th Birthday of Thomas Kailath: Part I, vol. 5, no. 1, 2005, pp. 69-96.


225. De Moor B., Marchal K., Mathys J., Moreau Y., "Bioinformatics : Organisms from Venus, Technology from Jupiter, Algorithms from Mars", Mathematics and Genomics, (Eds. Bultheel, Teugels, Thas), Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, 2005., pp. 37-102.


226. Hoegaerts L., De Lathauwer L., Goethals I., Suykens J.A.K., Vandewalle J., De Moor B., "Efficiently Updating and Tracking the Dominant Kernel Principal Components", Neural Networks, vol. 20, no. 2, Mar. 2007, pp. 220-229.


227. Aerts S., Van Loo P., Thijs G., Mayer H., de Martin R., Moreau Y., De Moor B., "TOUCAN 2: the all-inclusive open source workbench for regulatory sequence analysis", Nucleic Acids Research (Web Server Issue), vol. 33, 2005, pp. W393-W396.


228. Glenisson P., Gl?nzel W., Janssens F., De Moor B., "Combining full-text and bibliometric information in mapping scientific disciplines", Information Processing and Management, Special Issue on Informetrics, vol. 41, no. 6, Dec. 2005, pp. 1548-1572.


229. Aerts S., Lambrechts D., Maity S., Van Loo P., Coessens B., De Smet F., Tranchevent L., De Moor B., Marynen P., Hassan B., Carmeliet P., Moreau Y., "Gene prioritization through genomic data fusion", Nature Biotechnology, vol. 24, no. 5, May 2006, pp. 537-544.


230. Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Suykens J.A.K., De Moor B.L.R., "M@CBETH: a microarray classification benchmarking tool", Bioinformatics, vol. 21, no. 14, Jul. 2005, pp. 3185-3186.


231. Menten B., Pattyn F., De Preter K., Robbrecht P., Michels E., Buysse K., Mortier G., De Paepe A., Van Vooren S., Vermeesch J., Moreau Y., De Moor B., Vermeulen S., Speleman F., Vandesompele J., "ArrayCGHbase : an analysis platform for comparative genomic hybridization microarrays", BMC Bioinformatics, vol. 6, no. 124, May 2005, pp. 1-20.


232. Vermeesch J., Melotte C., Froyen G., Van Vooren S., Dutta B., Maas N., Vermeulen S., Menten B., Speleman F., De Moor B., Van Hummelen P., Marynen P., Fryns JP., Devriendt K., "Molecular Karyotyping: Towards Improved Pre- and Postnatal Genetic Diagnosis", J. Histochem. Cytochem, vol. 53, no. 3, 2005, pp. 413-422.


233. Roosen J., Engelen K., Marchal K., Mathys J., Griffioen G., Cameroni E., Thevelein J.M., De Virgilio C., De Moor B. and Winderickx J., "PKA and Sch9 Control a Molecular Switch Important for the Proper Adaptation to Nutrient Availability.", Molecular Microbiology, vol. 55, no. 3, Dec. 2004, pp. 862-880.


234. Maerivoet S., De Moor B., "Non-concave fundamental diagrams and phase transitions in a stochastic traffic cellular automaton", The European Physics Journal B - Condensed Matter Physics, vol. 42, no. 1, Nov. 2004, pp. 131--140.


235. Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., "Constrained Linear MPC with Time-Varying Terminal Cost using Convex Combinations", Automatica, vol. 41, no. 5, May 2005, pp. 831-837.


236. Monsieurs P., De Keersmaecker S., Navarre W.W., Bader M.W., De Smet F., McClelland M., Fang F.C., De Moor B., Vanderleyden J., Marchal K., "Comparison of the PhoPQ regulon in Escherichia coli and Salmonella typhimurium", Journal of Molecular Evolution, vol. 60, no. 4, Apr. 2005, pp. 462-474.


237. Van den Nest M., Dehaene J., De Moor B., "The invariants of the local Clifford group", Physical Review A, vol. 71, no. \, Feb. 2005, pp. 022310-.


238. Van den Nest M., Dehaene J., De Moor B., "Efficient algorithm to recognize local Clifford equivalence of graph states", Physical Review A, vol. 70, no. \, Aug. 2004, pp. 034302-.


239. Hostens E., Dehaene J., De Moor B., "Stabilizer states and Clifford operations for systems of arbitrary dimensions, and modular arithmetic", Physical Review A, vol. 71, no. 042315, Apr. 2005, pp. .


240. Tompa M., Li N., Bailey T.L., Church G.M., De Moor B., Eskin E., Favorov A.V., Frith M.C., Fu Y., Kent J.W., Makeev V.J., Mironov A.A., Noble W.S., Pavesi G., Pesole G., Régnier M., Simonis N., Sinha S., Thijs G., van Helden J., Vandenbogaert M., Weng Z., Workman C., Ye C., Zhu Z., "An Assessment of Computational Tools for the Discovery of Transcription Factor Binding Sites", Nature Biotechnology, vol. 23, no. 1, Jan. 2005, pp. 137-144.


241. Espinoza M., Joye C., Belmans R., De Moor B., "Short-Term Load Forecasting, Profile Identification and Customer Segmentation: A Methodology based on Periodic Time Series.", IEEE Transactions on Power Systems, vol. 20, no. 3, Aug. 2005, pp. 1622-1630.


242. Van Gestel T., Espinoza M., Baesens B., Suykens J.A.K, Brasseur C., De Moor B., "A Bayesian Nonlinear Support Vector Machine Error Correction Model", Journal of Forecasting, vol. 25, no. 2, Mar. 2006, pp. 77-100.


243. Pelckmans K., Suykens J.A.K., De Moor B., "Building Sparse Representations and Structure Determination on LS-SVM Substrates", Neurocomputing, Special Issue, vol. 64, Mar. 2005, pp. 137-159.


244. Goethals I., Pelckmans K., Suykens J.A.K., De Moor B., "Subspace Identification of Hammerstein Systems using Least Squares Support Vector Machines", IEEE Transactions on Automatic Control, Special Issue on System Identification, vol. 50, no. 10, Oct. 2005, pp. 1509- 1519.


245. Espinoza M., Suykens J.A.K., De Moor B., "Kernel Based Partially Linear Models and Nonlinear Identification", IEEE Transactions on Automatic Control, Special Issue on System Identification, vol. 50, no. 10, Oct. 2005, pp. 1602-1606.


246. Pelckmans K., Espinoza M., De Brabanter J., Suykens J.A.K., De Moor B., "Primal-Dual Monotone Kernel Regression", Neural Processing Letters, vol. 22, no. 2, Oct. 2005, pp. pp. 171-182.


247. Durinck S., Allemeersch J., Carey V.J., Moreau Y., De Moor B., "Importing MAGEML format microarray data into BioConductor", Bioinformatics, vol. 20, no. 18, Dec. 2004, pp. 3641-3642.


248. Willems J.C., Rapisarda P., Markovsky I., De Moor B., "A note on persistency of excitation", Systems & Control Letters, vol. 54, no. 4, Apr. 2005, pp. 325-329.


249. Pluymers B., Suykens J.A.K., De Moor B., "Min-Max feedback MPC using a time-varying terminal constraint set and comments on 'efficient robust constrained model predictive control with a time-varying terminal constraint set'", Systems and Control Letters, vol. 54, no. 12, Dec. 2005, pp. 1143-1148.


250. Van den Nest M., Dehaene J., De Moor B., "Local invariants of stabilizer codes", Physical Review A, vol. 70, no. \, Sep. 2004, pp. 034302-.


251. Barrero O. Bernstein D. S., and De Moor B., "Data Assimilation for Magneto-Hydrodynamics Systems", Journal of Computational and Applied Mathematics, vol. 189, 2006, pp. 242-253.


252. Bex S., Doclo S., Ysebaert G., Gielen G., Dehaene W., De Man H. De Moor B., "The PeopleMover Educational Project: Design, simulation, and implementation of a real control system application", IEEE Control Systems Magazine, Special Issue on Innovations in Undergraduate Control Education, vol. 24, no. 5, Oct. 2004, pp. 83-87.


253. Markovsky I., Willems J.C., Van Huffel S., De Moor B., Pintelon R., "Application of structured total least squares for system identification and model reduction", IEEE Transactions on Automatic Control, Special Issue on System Identification: Linear vs Nonlinear, vol. 50, no. 10, Oct. 2005, pp. 1490-1500.


254. Goethals I., Pelckmans K., Suykens J.A.K., De Moor B., "Identification of MIMO Hammerstein Models using Least Squares Support Vector Machines", Automatica, vol. 41, no. 7, Jul. 2005, pp. 1263-1272.


255. Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., "The differogram : Nonparametric noise variance estimation and its use for model", Neurocomputing, Special Issue on Signal Processing, vol. 69, no. 1-3, Dec. 2005, pp. 100-122.


256. Markovsky I., Willems J.C., Rapisarda P., De Moor B., "Algorithms for deterministic balanced subspace identification", Automatica, vol. 41, no. 5, May 2005, pp. 755-766.


257. Aerts S., Thijs G., Dabrowski M., Moreau Y., De Moor B., "Comprehensive analysis of the base composition around the transcription start site in Metazoa", BMC Genomics, vol. 5, no. 34, Jun. 2004, pp. 1-10.


258. De Smet F., Moreau Y., Engelen K., Timmerman D., Vergote I., De Moor B., "Balancing false positives and false negatives for the detection of differential expression in malignancies", British Journal of Cancer, vol. 91, no. 6, Sep. 2004, pp. 1160-1165.


259. Marchal K., De Keersmaecker S., Monsieurs P., van Boxel N., Lemmens K., Thijs G., Vanderleyden J., De Moor B., "In silico identification and experimental validation of PmrAB targets in Salmonella typhimurium by regulatory motif detection", Genome Biology, voL 5, no. 2, Epub, Jan. 2004, 20 p.


260. Pelckmans K., Suykens J.A.K., De Moor B., "Additive regularization Trade-off : Fusion of Training and Validation levels in Kernel Methods", Machine Learning, vol. 62, no. 3, Mar. 2006, pp. 217-252.


261. Markovsky I., De Moor B., "Linear dynamic filtering with noisy input and output", Automatica, vol. 41, no. 1, Jan. 2005, pp. 167--171.


262. Van den Nest M., Dehaene J., De Moor B., "Graphical description of the action of local Clifford operations on graph states", Virtual Journal of Quantum Information, www.vjquantuminfo.org, vol. 4, no. 3, Mar. 2004, pp. .


263. Van den Nest M., Dehaene J., De Moor B., "Graphical description of the action of local Clifford operations on graph states", Virtual Journal of Nanoscale Science & Technology, www.vjnano.org, vol. 9, no. 9, Mar. 2004, pp. .


264. Van den Nest M., Dehaene J., De Moor B., "Graphical description of the action of local Clifford operations on graph states", Physical Review A, vol. 69, Feb. 2004, pp. 022316-022322.


265. Pochet N., De Smet F., Suykens J.A.K., De Moor B., "Systematic benchmarking of micorarray data classification : assessing the role of nonlinearity and dimensionality reduction", Bioinformatics, vol. 20, no. 17, Nov. 2004, pp. 3185-3195.


266. Yeredor A., De Moor B., "On homogeneous least-squares problems and the inconsistency introduced by mis-constraining", Computational Statistics and Data Analysis, vol. 47, no. 3, Nov. 2004, pp. 455-465.


267. Glenisson P.,Coessens B., Van Vooren S., Mathys J., Moreau Y., De Moor B., "TXTGate : Profiling gene groups with text-based information", Genome Biology, vol. 5, no. 6, May 2004, pp. R43.1-R43.12.


268. Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., "Subset based least squares subspace regression in RKHS", Neurocomputing, vol. 63, Jan. 2005, pp. 293-323.


269. Glenisson P., Mathijs J., Moreau Y., De Moor B., "Meta-clustering of gene expression data and literature-extracted information", SIGKDD Explorations, Special Issue on Microarray Data Mining, vol. 5, no. 2, Dec. 2003, pp. 101-112.


270. Eelen G., Verlinden L., Van Camp M., Van Hummelen P., Marchal K., De Moor B., Mathieu C., Carmeliet G., Bouillon R., Verstuyf A., "The effects of 1a,25-dihydroxyvitamin D3 on the expression of DNA replication genes.", Journal of bone and mineral research, vol. 19, 2004, pp. 133-146.


271. Aerts S., Van Loo P., Moreau Y., De Moor B., "A genetic algorithm for the detection of new cis-regulatory modules in sets of coregulated genes", Bioinformatics, vol. 20, no. 12, Aug. 2004, pp. 1974-1976.


272. De Moor B., Marchal K., Mathys J., Moreau Y., "Bioinformatics : Organisms from Venus, Technology from Jupiter, Algorithms from Mars", European Journal of Control, vol. 9, no. 2-3, 2003, pp. 237-278.


273. Verstraete F., Dehaene J., De Moor B., "Normal forms and entanglement measures for multipartite quantum states", Physical Review A, vol. 68, 2003, pp. 012103_1-012103_7.


274. Maerivoet S., De Moor B., "Cellular Automata Models of Road Traffic", Physics Reports, vol. 419, no. 1, Nov. 2005, pp. 1-64.


275. Espinoza M., Suykens J.A.K., De Moor B., "Fixed-Size Least Squares Support Vector Machines : A large Scale application in electrical load forecasting", Computational Management Science , Special Issue on Support Vector Machines, vol. 3, no. 2, Apr. 2006, pp. 113-129.


276. Dehaene J., De Moor B., "The Clifford group, stabilizer states, and linear and quadratic operations over GF(2)", Physical Review A, vol. 68, Oct. 2003, pp. 9042318_1-042318_10.


277. Aerts S., Van Loo P., Thijs G., Moreau Y., De Moor B., "Computational detection of cis-regulatory modules", Bioinformatics, Special Issue on ECCB 2003, vol. 19, no. Suppl. 2, Oct. 2003, pp. ii5-ii14.


278. Moreau Y., Aerts S., De Moor B., De Strooper B., Dabrowski M., "Comparison and meta-analysis of microarray data : from the bench to the computer desk", Trends in GEnetics, vol. 19, no. 10, Oct. 2003, pp. 570-577.


279. LiB., De Moor B., "The general Box-Cox transformations in multiple linear regression analysis", Commun. Statistics - Simulation and Computation, vol. 31, 2002, pp. 673-687.


280. Coessens B., Thijs G., Aerts S., Marchal K., De Smet F. Engelen K., Glenisson P., Moreau Y., Mathys J., De Moor B., "INCLUSive : a web portal and service registry for microarray and regulatory sequence analysis", Nucleic Acids Research, web server issue 2003, vol. 31, no. 13, Jul. 2003, pp. 3468-3470.


281. Sheng Q., Moreau Y., De Moor B., "Biclustering Microarray data by Gibbs sampling", Bioinformatics, ECCB 2003 Proceedings, vol. 19, Sep. 2003, pp. ii196-ii205.


282. Voz M., Mathys J., Hensen K., Pendeville H., Van Valckenborgh I., Van Huffel C., Chavez V.M., Van Damme B., De Moor B., Moreau Y., Van de Ven W.J.M., "Microarray screening for target genes of the proto-oncogene PLAG1", Oncogene, vol. 23, no. 1, 2004, pp. 179-191.


283. Bellemans T., De Schutter B., De Moor B., "Model predictive control for ramp metering of motorway traffic : A case study", Control Engineering Practice, vol. 14, 2006, pp. 757-767.


284. Denys H., Jadidizadeh A., Amini Nik S., Vandam K., Tejpar S., Aerts S., Moreau Y., De Moor B., Alman B., Cassiman J.J., "Identification of IGFBP-6 as a significantly down-regulated gene by beta-catenin in desmoid tumors", Oncogene, vol. 23, Jan. 2004, pp. 654-664.


285. Marchal K., Thijs G., De Keersmaecker S., Monsieurs P., De Moor B., Vanderleyden J., "Genome-specific higher-order background models to improve motif detection", Trends in Microbiology, vol. 11, no. 2, Feb. 2003, pp. 61-66.


286. Engelen K., Coessens B., Marchal K., De Moor B., "MARAN: normalizing micro-array data", Bioinformatics, vol. 19, no. 7, May 2003, pp. 893-894.


287. Aerts S., Thijs G., Coessens B., Staes M., Moreau Y., De Moor B., "TOUCAN : Deciphering the Cis-Regulatory Logic of Coregulated Genes", Nucleic Acids Research, vol. 31, no. 6, Mar. 2003, pp. 1753-1764.


288. Goethals I., Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., "Identification of Positive Real Models in Subspace Identification by using Regularization", IEEE Transactions on Automatic Control, vol. 48, no. 10, Oct. 2003, pp. 1843-1847.


289. Moreau Y., Antal P., Fannes G., De Moor B., "Probabilistic graphical models for computational biomedicine", Methods of Information in Medicine, vol. 42, no. 2, 2003, pp. 161-168.


290. Moreau Y., De Smet F., Thijs G., Marchal K., De Moor B., "Functional bioinformatics of microarray data : from expression to regulation", Proceedings of the IEEE, vol. 90, no. 11, Nov. 2002, pp. 1722-1743.


291. Antal P., Fannes G., Timmerman D., Moreau Y., De Moor B., "Using literature and data to learn Bayesian Networks as clinical models of ovarian tumors", Artificial Intelligence in Medicine, vol. 30, 2004, pp. 257-281.


292. Dabrowski M., Aerts S., Van Hummelen P., Craessaerts K., De Moor B., Annaert W., Moreau Y., De Strooper B., "Gene profiling of hippocampal neuronal culture", Journal of Neurochemistry, vol. 85, no. 5, Jun. 2003, pp. 1279-1288.


293. Audenaert K., De Moor B., Vollbrecht K.G.H., Werner R.F., "Asymptotic relative entropy of entanglement for orthogonally invariant states", Pys. Rev. A, vol. 66, 2002, 032310 p.


294. Marchal K., Engelen K., De Brabanter J., De Moor B., "A guideline for the analysis of two sample microarray data", Journal of Biological Systems, vol. 10, no. 4, Dec. 2002, pp. 409-430.


295. De Schutter B., De Moor B., "The QR decomposition and the singular value decomposition in the symmetrized max-plus algebra revisisted.", SIAM Review, vol. 44, no. 3, 2002, pp. 417-454.


296. De Cock K., De Moor B., "A conjecture on Lyapunov equations and principal angles in subspace identification", Unsolved Problems in Mathematical Systems and Control Theory, Princeton University Press, (Blondel V.D, Megretski A., eds.), 2004, pp. 287-292.


297. Suykens J.A.K., Van Gestel T., Vandewalle J., De Moor B., "A support vector machine formulation to PCA analysis and its kernel version", IEEE Transactions on Neural Networks, vol. 14, no. 2, Mar. 2003, pp. 447-450.


298. Marchal K., Engelen K., De Brabanter J., Aerts S., De Moor B., "Comparison of different methodologies to identify differentially expressed genes in two-sample cDNA arrays", Journal of Biological Systems, vol. 10, no. 4, 2002, pp. 409-430.


299. Dehaene J., Van den Nest M., De Moor B., Verstraete F., "Local permutations of products of Bell states and entanglement distillation", Physical Review A, vol. 67, Feb. 2003, pp. 022310_1-022310_6.


300. Antal P., Fannes G., Timmerman D., De Moor B., Moreau Y., "Bayesian Applications of Belief Networks and Multilayer Perceptrons for Ovarian Tumor Classification with Rejection", Journal of Artificial Intelligence in Medicine, vol. 20, no. 1-2, 2003, pp. 39-60.


301. De Lathauwer L., De Moor B., Vandewalle J., "Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition", SIAM Journal on Matrix Analysis and Applications, vol. 26, no. 2, 2004, pp. 295-327.


302. Epstein E., Skoog L., Isberg P., De Smet F., De Moor B., Olofsson P., Gudmundsson S., Valentin L., "An algorithm including results of gray scale and power Doppler ultrasound examination to predict endometrial malignancy in women with postmenopausal bleeding", Ultrasound in Obstetrics and Gynecology, vol. 20, Oct. 2002, pp. 370-376.


303. De Moor B., "Weighted total least squares rank deficiency and linear matrix structures", Total Least Squares and Errors-in-Variables Modeling : Analysis, Algorithms and Applications, (Eds. Van Huffel S., Lemmerling P.), Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002, pp. 293-304.


304. Verstraete F., Dehaene J., De Moor B., Verschelde H., "Four qubits can be entangled in nine different ways", Physical Review Letters A, vol. 65, no. 052112, 2002, 5 p.


305. Audenaert K., De Moor B., "Optimizing completely positive maps using semidefinite programming", Physical Review A, vol. 65, 2003, 030302 p.


306. Verstraete F., Dehaene J., De Moor B., "The Lorentz singular value decomposition and its applications to pure states of 3 qubits", Physical Review A, vol. 65, no. 032308, 2002, 6 p.


307. Verstraete F., Dehaene J., De Moor B., "On the geometry of entangled states", Journal of Modern Optics, vol. 49, no. 8, 2002, pp. 1277-1287.


308. Verstraete F., Audenaert K., Dehaene J., De Moor B., "A comparison of the entanglement measures negativity and concurrence", Journal of Physics A : mathematical and general, vol. 34, 2001, 10327 p.


309. Verstraete F., Dehaene J., De Moor B., "Normal forms, entanglement montones and optimal filtration of multipartite quantum systems", Physical Review Letters, 5 p.


310. Thijs G., Marchal K., Lescot M., Rombauts S., De Moor B., Rouze P., Moreau Y., "A Gibbs sampling method to find over-represented motifs in the upstream regions of co-expressed genes", Journal of Computational Biology, Special Issue RECOMB'2002, vol. 9, no. 3, April 2002, pp. 447-464.


311. Thijs G., Moreau Y., De Smet F., Mathys J., Lescot M., Rombauts S., Rouze P., De Moor B., Marchal K., "INCLUSive : INtegrated Clustering, Upstream sequence retrieval and motif sampling", Bioinformatics, vol. 18, no. 2, Feb. 2002, pp. 331-332.


312. Audenaert K., Eisert J., Jane E., Plenio M., Virmani S., De Moor B., "The asymptotic relative entropy of entanglement", Physical Review Letters, vol. 87, 2001, pp. 217902-4.


313. De Smet F., Mathys J., Marchal K., Thijs G., De Moor B., Moreau Y., "Adaptive quality-based clustering of gene expression profiles", Bioinformatics, vol. 18, no. 5, May 2002, pp. 735-746.


314. De Cock K., Hanzon B., De Moor B., "On a cepstral norm for an ARMA model and the polar plot of the logarithm of its transfer function", Signal Processing, vol. 83, no. 2, 2003, pp. 439-443.


315. Ysebaert G., Van Acker K., Moonen M., De Moor B., "Constraints in Channel Shortening Equalizer Design for DMT-based Systems", Elsevier Signal Processing, vol. 83, no. 3, Mar. 2003, pp. 641-648.


316. Van Brempt W., Backx T., Ludlage J., Van Overschee P., De Moor B., Tousain R., "A high performance model predictive controller : Application on a polythylene gase phase reactor", Control Engineering Practice, vol. 9, Mar. 2001, pp. 829-835.


317. De Lathauwer L., De Moor B., Vandewalle J., "A prewhitening-induced bound on the identification error in independent component analysis", IEEE Transactions on Circuits and Systems - I : Regular Papers, vol. 52, no. 3, Mar. 2005, pp. 546-554.


318. Duhoux M., Suykens J.A.K., De Moor B., Vandewalle J., "Improved long-term temperature prediction by chaining of neural networks", International Journal of Neural Systems, vol. 11, no. 1, Jan. 2001, 10 p.


319. Lescot M., Dehais P., Moreau Y., De Moor B., Rouze P., Rombauts S., "PlantCARE : Database and tools to find new regulartory elements", Nucleid Acid Research, Special Issue on databases, vol. no. 1, Jan. 2001.


320. Viaene S., Baesens B., Van Gestel T., Suykens J.A.K., Van den Poel D., Dedene D., De Moor B., Vanthienen J., "Knowledge discovery in a direct marketing case using least squares support vector machines", International Journal of Intelligent Systems, Vol. 16, no. 9, 2001, pp. 1023-1036.


321. Verstraete F., Dehaene J., De Moor B., "Local filtering operations on two qubits", Physical Review A, Rapid Communication, vol. 64, Jul. 2001, pp. 010101.


322. Thijs G., Lescot M., Marchal K., Rombauts S., De Moor B., Rouze P., Moreau Y., "A higher-order background model improves the detection by Gibbs sampling of potential promoter regulatory elements", Bioinformatics, vol. 17, no. 12, Dec. 2001, pp. 1113-1122.


323. Suykens J.A.K., Vandewalle J., De Moor B., "Intelligence and Cooperative Search by Coupled Local Minimizers", International Journal of Bifurcation and Chaos, vol. 11, no. 8, aug. 2001, pp. 2133-2144.


324. Verstraete F., Audenaert F., De Moor B., "Maximally entangled mixed states of two qubits", Physical Review A, vol. 64, Jul. 2001, pp. 012316.


325. Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., De Moor B., Vandewalle J., "Multiclass LS-SVMs : Moderated outputs and coding-decoding schemes", Neural Processing Letters, vol. 15, no. 1, Feb. 2002, pp. 45-48.


326. LiB., De Moor B., "Dynamic identification of origin-destination matrices in the presence of incomplete observations", Transporation Research Part B, vol. 36, no. 1, Nov. 2001, pp. 37-57.


327. De Lathauwer L., De Moor B., Vandewalle J., "Independent component analysis and (simultaneous) third-order tensor diagonalization", IEEE Transactions on Signal Processing, vol. 49, no. 10, Oct. 2001, pp. 2262-2271.


328. Van Gestel T., Suykens J.A.K., Baestaens D., Lambrechts A., Lanckriet G., Vandaele B., De Moor B., Vandewalle J., "Financial Time Series Prediction using Least Squares Support Vector Machines within the Evidence Framework", IEEE Transactions on Neural Networks, Special Issue on Neural Networks in Financial Engineering, vol. 12, no. 4, Jul. 2001, pp. 809-821.


329. Audenaert K., Verstraete F., De Moor B., "Variational Characterisations of Separability and Entanglement of Formation", Physical Review A, vol. 64, no. 5, Nov. 2001, pp. 052304-13.


330. Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., De Moor B., Vandewalle J., "Bayesian Framework for Least Squares Support Vector Machine Classifiers, Gaussian Processes and Kernel Fisher Discriminant Analysis", Neural Computation, vol. 15, no. 5, May 2002, pp. 1115-1148.


331. Nackaerts A., De Moor B., Lauwereins R., "A formant filtered physical model for wind instruments", IEEE Transactions on Speech and Audio Processing, vol. 11, no. 1, Jan. 2003, pp. 1-9.


332. Van Gestel T., De Moor B., Anderson B., Van Overschee P., "On frequency weighted balanced truncation : Hankel singular values and errors bounds", European Journal of Control, vol. 7, no. 6, Dec. 2001, pp. 584-595.


333. De Cock K., De Moor B., "Subspace angles between ARMA models", Systems and Control Letters, vol. 46, 2002, pp. 265-270.


334. Van Gestel T., Suykens J.A.K., Baesens B., Viaene S., Vanthienen J., Dedene G., De Moor B., Vandewalle J., "Benchmarking Least Squares Support Vector Machine Classifiers", Machine Learning, vol. 54, no. 1, Jan. 2004, pp. 5-32.


335. Lemmerling Ph., Van Huffel S., De Moor B., "The structured total least squares approach for nonlinearly structured matrices", Numerical Linear Algebra with Applications, vol. 9, no. 1-4, 2002, pp. 321-332.


336. Lemmerling P., Vanhamme L., Van Huffel S., De Moor B., "IQML-like algorithms for solving structured total least squares problem", Signal Processing, vol. 81, 2001, pp. 1935-1945.


337. De Lathauwer L., De Moor B., Vandewalle J., "Fetal Electrocardiogram Extraction by Blind Source Subspace Separation", IEEE Transactions on Biomedical Engineering, Special Topic Section on Advances in Statistical Signal Processing for Biomedicine, vol. 47, no. 5, May 2000, pp. 567-572.


338. Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., "Identification of stable models in subspace identification by using regularization", IEEE Transactions on Automatic Control, vol. 46, no. 9, Sep. 2001, pp. 1416-1420.


339. Lemmerling P., De Moor B., "Misfit versus latency", Automatica, vol. 37, 2001, pp. 2057-2067.


340. Van Gestel T., Suykens J.A.K., De Moor B., Baestaens D.-E., "Volatility Tube Support Vector Machines", Neural Network World, Special Issue on PASE 2000, vol. 10, no. 1-2, Jan. 2000, pp. 287-297.


341. Bultheel A., De Moor B., "Rational Approximation in linear systems and control", Journal of Computational and Applied Mathematics, Special Issue on Numerical Analysis in the 20th Century, Vol. I Approximation Theory, vol. 121, Sep. 2000, pp. 355-378.


342. De Moor B., "Model reduction techniques : A survey", Journal on Computational and Applied Mathematics (Numerical analysis in the 20-th century), July 1999.


343. LiB., De Moor B., "Identification of influential observations in total least squares estimates", Linear Algebra and its Applications, vol. 284, no. 1-3, 2002, pp. 23-39.


344. LiB. and De Moor B., "More on local influence in principal components analysis", Communications in Statistics, Theory and Methods, vol. 28, no. 10, 1999, pp. 2487-2495.


345. De Lathauwer L., De Moor B., Vandewalle J., "An Introduction to Independent Component Analysis", Journal of Chemometrics, Special Issue on Multi-Way Analysis, vol. 14, no. 3, May-Jun. 2000, pp. 123-149.


346. Chu D., De Moor B., "On a variational formulation of the QSVD and the RSVD", Linear Algebra and its Applications, vol. 311, 2000, pp. 61-78.


347. Chu D., De Moor B., "On the non-uniqueness of the factorization factors in the product singular value decomposition", Linear Algebra and its Applications, vol. 314, Jul. 2000, pp. 191-203.


348. Van Gestel T., Van Barel M., De Moor B., "On an alternative parameterization of the solutions of the partial realization problem", Acta Applicandae Mathematicae, Special Issue on the International Conference on Rational Approximation (ICRA99), vol. 61, May 2000, pp. 317-331.


349. LiB. and De Moor B., "A Family of Adaptive Robust Estimates Based on the Symmetrical Generalized Logistic Distribution", Communications in Statistics, Theory and Method, 17 p.


350. Chu D., De Lathauwer L., De Moor B., "On the computation of the restricted singular value decomposition via the cosine-sine decomposition", SIAM Journal on Matrix Analysis and Applications, vol. 22, no. 2, 2000, pp. 580-601.


351. Chu D., De Lathauwer L., De Moor B., "A QR-type reduction for computing the SVD of a general matrix product/quotient", Numerische Mathematik, vol. 95, no. 1, Jul. 2003, pp. 101-121.


352. Suykens J.A.K., Vandewalle J., De Moor B., "Optimal control by least squares support vector machines", Neural Networks, vol. 14, no. 1, Jan. 2001, pp. 23-35.


353. Chu D., De Moor B., "On a variational formulation of the QSVD and the RSVD", Sonderforschungsbereich 343, Diskrete Strukturen in der Mathematik, 1998, pp. 1-15.


354. LiB., De Moor B., "A corrected normal approximation for the Student's t distribution", Computational Statistics and Data Analysis, vol. 29, no. 2, Dec. 1999, pp. 213-216.


355. Timmerman D., Verrelst H., Bourne T., De Moor B., Collins W., Vergote I., Vandewalle J., "Artificial Neural Network Models for the Pre-operative Discrimination between Malignant and Benign Adnexal Masses", Ultrasound Obstet. Gynecol., vol. 13, 1999, pp. 17-25.


356. LiB. and De Moor B., "Recursive optimization for intersection equality-constrained optimization for intersection origin-destination matrices", Transporation Research, vol. 33B, no. 3, Apr. 1999, pp. 203-214.


357. Favoreel W., De Moor B., Van Overschee P., "Subspace State Space System Identification for Industrial Processes", Journal of Process Control, vol. 10, 2000, pp. 149-155.


358. LiB., De Moor B., "A family of adaptive M-estimates based on the symmetrical generalized logistic regression", Communications in Statistics, Theory and Methods, vol. 28,no. 6, 1999, pp. 1293-1310.


359. De Moor B., Van Overschee P., Favoreel W., "Numerical algorithms for subspace state space system identification - An Overview", Birkhauser Book Series on Applied an Computational Control, Signals and Circuits (Biswa Datta Editor), 1999, pp. 247-311.


360. Suykens J.A.K., De Moor B.L.R., Vandewalle J., "Robust local stability of multilayer recurrent neural networks", IEEE Transactions on Neural Networks, vol. 11, no. 1, Jan. 2000, pp. 222-229.


361. De Lathauwer L., De Moor B., Vandewalle J., "On the Best rank-1 and Rank-$(R_1, R_2, ..., R_N)$ Approximation and Applications of Higher-Order Tensors", SIAM J. Matrix Anal. Appl., vol. 21, no. 4, Apr. 2000, pp. 1324-1342.


362. De Schutter B., Blondel V., de Vries R., De Moor B., "On the boolean minimal realization problem in the max-plus algebra", Systems & Control Letters, vol. 35, no. 2, 1998, pp. 69-78.


363. De Schutter B., De Moor B., "On the sequence of consecutive powers of a matrix in a Boolean algebra", SIAM Journal on Matrix Analysis and Applications, vol. 21, no. 1, 1999, pp. 328-354.


364. De Schutter B., De Moor B., "The Linear Dynamic Complementarity Problem is a special case of the Extended Linear Complementarity Problem", Systems & Control Letters, vol. 34, 1998, pp. 63-75.


365. LiB., De Moor B., "A simple approximation relation between the symmetric generalized logistic and the student's t distribution", \emph {Communications in statistics, simulation and computation}, vol. 26, no. 3, Aug. 1997, pp. 1029-1039.


366. Verrelst H., Van Acker K., Suykens J.A.K., Motmans B., De Moor B., Vandewalle J., "Application of NL$_{q}$ neural control theory to a ball and beam system", European Journal of control, vol. 4, no. 3, Sep. 1998, pp. 148-157.


367. De Schutter B., De Moor B., "Optimal traffic light control for a single intersection", European Journal of Control, vol. 4, no. 3, 1998, pp. 260-276.


368. Favoreel W., De Moor B., Van Overschee P., "Subspace identification of bilinear systems subject to white inputs", IEEE Transactions on Automatic Control, vol. 44, no. 6, Jun. 1999, pp. 1157-1165.


369. Suykens J.A.K., Vandewalle J., De Moor B., "NL$_{q}$ theory: checking and imposing stability of recurrent neural networks for nonlinear modeling", IEEE Transactions on Signal Processing, vol. 45, no. 11, Nov. 1997, pp. 2682-2691.


370. Suykens J.A.K., Lemmerling P., Favoreel W., De Moor B., Crepel M., Briol P., "Modeling the Belgian gas consumption using neural networks", Neural Processing Letters, Vol. 4, no. 3, Dec. 1996, pp. 157-166.


371. Suykens J.A.K., Vandewalle J., De Moor B., "Lur'e systems with multilayer perceptron and recurrent neural networks: absolute stability and dissipativity", IEEE Transactions on Automatic Control, vol. 44, no. 4, Apr. 1999, pp. 770-774.


372. De Schutter B., De Moor B., "A note on the characteristic equation in the max-plus algebra", Linear Algebra and Its Applications, Vol. 261, 1997, pp. 237-250.


373. De Schutter B., De Moor B., "The QR decomposition and the singular value decomposition in the symmetrized max-plus algebra", SIAM Journal on Matrix Analysis and Applications, vol. 19, no. 2, Apr. 1998, pp. 378-406.


374. Suykens J.A.K., Vandewalle J., De Moor B., "An absolute stability criterion for the Lur'e problem with sector and slope restricted nonlinearities", IEEE Transactions on Circuits and Systems - I : Fundamental Theory and Applications, Vol. 45, no. 9, Sep. 1998, pp. 1007-1009.


375. Abdelghani M., Verhaegen M., Van Overschee P., De Moor B., "Comparison study of subspace identification methods applied to flexible structures", Mechanical systems and signal processing, vol. 12, no. 5, 1998, pp. 679-692.


376. Minten W., De Moor B., Vandewalle J., "How can different interpretations and use of bond graph parameters be avoided?", J. Franklin Institute, Vol. 334B, no. 3, May 1997, pp. 389-406.


377. Van Overschee P., De Moor B., Dehandschutter W., Swevers J., "A subspace algorithm for the identification of discrete time frequency domain power spectra", Automatica, A journal of IFAC the International Federation Of Automatic Control, vol. 33, no. 12, Dec. 1997, pp. 2147-2157.


378. Lemmerling P., De Moor B., Van Huffel S., "On the equivalence of constrained total least squares and structured total least squares", IEEE Transactions on Signal Processing, vol. 44, Nov. 1996, pp. 2908-2911.


379. Van Overschee P., De Moor B., "Continuous-time frequency domain subspace system identification", Signal Processing, Special Issue on Subspace methods, part II : System identification, vol. 52, 1996, pp. 179-194.


380. Suykens J.A.K., De Moor B., Vandewalle J., "NL$_{q}$ theory: a neural control framework with global asymptotic stability criteria", Neural Networks, vol. 10, no. 4, Jun. 1997, pp. 615-637.


381. Dehaene J., Yi C., De Moor B., "Calculation of the structured singular value with gradient based optimization algorithms on a Lie group of structured unitary matrices", IEEE Transactions on Automatic Control, vol. 42, no. 11, Nov. 1997, pp. 1596-1600.


382. Schelfhout G., De Moor B., "A note on closed-loop balanced truncation", IEEE Transactions on Automatic Control, vol. 41, no. 10, 1996, pp. 1498-1500.


383. De Lathauwer L., De Moor B., Vandewalle J., "A multilinear singular value decomposition", SIAM J. Matrix Anal. Appl., vol. 21, no. 4, Apr. 2000, pp. 1253-1278.


384. De Schutter B., De Moor B., "The singular value decomposition in the extended max algebra", Linear Algebra and Its Applications, vol. 250, 1997, pp. 143-176.


385. Van Overschee P., De Moor B., "Choice of state-space basis in combined deterministic-stochastic subspace identification", Automatica, Special Issue on Trends in System Identification, vol. 31, no. 12, Dec. 1995, pp. 1877-1883.


386. Suykens J.A.K., De Moor B., Vandewalle J., "Nonlinear system identification using neural state space models, applicable to robust control design", International Journal of Control, vol. 62, no. 1, 1995, pp. 129-152.


387. De Schutter B., De Moor B., "A method to find all solutions of a system of multivariate polynomial equalities and inequalities in the max algebra", Discrete Event Dynamic Systems: Theory and Applications, vol. 6, no. 2, Mar. 1996, pp. 115-138.


388. De Schutter B., De Moor B., "Minimal realization in the max algebra is an extended linear complementarity problem", Systems & Control Letters, vol. 25, no. 2, May 1995, pp. 103-111.


389. De Schutter B., De Moor B., "Minimal realization in the max algebra is an extended linear complementarity problem", Syst. Contr. Lettr., vol. 25, pp. 103-111.


390. De Schutter B., De Moor B., "The extended linear complementarity problem", Mathematical Programming, vol. 71, no. 3, Dec. 1995, pp. 289-325.


391. Van Overschee P., De Moor B., "A unifying theorem for three subspace system identification algorithms", Automatica, Special Issue on Trends in System Identification, vol. 31, no. 12, Dec. 1995, pp. 1853-1864.


392. Moons C., De Moor B., "Parameter identification of induction motor drives", Automatica, vol. 31, no. 8, Aug. 1995, pp. 1137-1147.


393. Yi C., De Moor B., "Robustness analysis and control system design for the servo system of a continuously variable transmission", IEEE Trans. on Control Systems Technology, vol.2, no.3, Sep. 1994, pp. 183-197.


394. De Moor B., "Total least squares for affinely structured matrices and the noisy realization problem", IEEE Transactions on Signal Processing, vol.42, no.11, Nov. 1994, pp. 3104-3113.


395. Van Impe J., Nicolaï B., De Moor B., Vandewalle J., "Optimal substrate controller design for the penicillin G fed-batch fermentation process using simulations", Chemical and Biochemical Engineering Quarterly, vol.7, no.1, 1993, pp. 13-20.


396. Van den Berghe G., Minten W., De Moor B., "Modeling a grand piano key action", Computer Music Journal, vol. 19, no. 2, 1995, pp. 15-22.


397. Suykens J.A.K., De Moor B., Vandewalle J., "Static and dynamic stabilizing neural controllers applicable to transition between equilibrium points", Neural Networks, vol. 7, no. 5, 1994, pp. 819-831.


398. Yi C., De Moor B., "A multidimensional realization algorithm for parametric uncertainty modeling and multiparameter margin problems", International Journal of Control, vol.60, no.5, Nov. 1994, pp. 789-807.


399. De Moor B., "Numerical algorithms for state space subspace system identification", Academia Analecta, Koninklijke Akademie voor Wetenschappen van België,Jaargang 55, no.5, 1993, pp. 71-109.


400. Van Overschee P., De Moor B., "N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems", Automatica, Special Issue on Statistical Signal Processing and Control, vol. 30, no. 1, Jan. 1994, pp. 75-93.


401. De Moor B., "Structured total least squares and $L_2$ approximation problems", Systems & Control, Special Issue of Linear Algebra and its Applications on Numerical Linear Algebra, (Van Dooren, Ammar, Nichols, and Mehrmann, eds.), vol.188-189, Jul. 1993, pp. 163-207 (also IMA Preprint Series no.1036, Institute for Mathematics and its Applications, University of Minnesota, Sep. 1992).


402. Van Overschee P., De Moor B., "Subspace algorithms for the stochastic identification problem", Automatica, vol. 29, no. 3, Mar. 1993, pp. 649-660.


403. De Moor B., David J., "Total linear least squares and the algebraic Riccati equation", System & Control Letters, vol.18, no.5, May 1992, pp. 329-337.


404. Moonen M., De Moor B., Ramos J., Tan S., "A subspace identification algorithm for descriptor systems", Systems & Control Letters, vol.19, no.1, Jul. 1992, pp. 47-52.


405. De Moor B., "Generalizations of the singular value and the QR decomposition", Signal Processing, vol.25, no 2, Nov. 1991, pp. 135-146.


406. Moonen M., De Moor B., "Comments on `State-space model identification with data correlation'", International Journal Control, vol.55, no.1, 1992, pp. 257-259.


407. De Moor B., David J., Vandewalle J., De Moor M., Berckmans D., "Trade-offs in linear control system design: a practical example", Optimal Control Applications & Methods, vol.13, 1992, pp. 121-144.


408. De Moor B., Van Dooren P., "Generalizations of the QR and the singular value decomposition", SIAM Journal on Matrix Analysis and Applications, vol.13, no.4, Oct. 1992, pp. 993-1014.


409. Vandewalle J., Reniers D., De Moor B., "Experiences with a personal computer network in electrical engineering education", IEEE Transactions on Education, vol.33, no.4, Nov. 1990, pp. 314-319.


410. De Moor B., Vandewalle J., "A unifying theorem for linear and total linear least squares", IEEE Transactions on Automatic Control, vol.35, no.5, May 1990, pp. 563-566.


411. De Moor B., "The singular value decomposition and long and short spaces of noisy matrices", IEEE Transactions on Signal Processing, vol.41, no.9, Sep. 1993, pp. 2826-2838.


412. Van Impe J., Nicolaï B., Vanrolleghem P., Spriet J., De Moor B., Vandewalle J., "Optimal control of the penicillin G fed-batch fermentation: an analysis of a modified unstructured model", Chemical Engineering Communications, vol.117, 1992, pp. 337-353.


413. Van Impe J., Nicolaï B., Vanrolleghem P., Spriet J., De Moor B., Vandewalle J., "Optimal control of the penicillin G fed-batch fermentation: an analysis of the model of Heijnen et al", Optimal control applications & methods, vol. 15, no. 1, 1994, pp. 13-34.


414. Swevers J., De Moor B., Van Brussel H., "Stepped sine system identification, errors-in-variables and the quotient singular value decomposition", Mechanical Systems and Signal Processing, vol.6, no.2, Mar. 1992, pp. 121-134.


415. De Moor B., "On the structure of generalized singular value and QR decompositions", Siam Journal on Matrix Analysis & Applications, vol.15-1, Jan. 1994, pp. 347-358.


416. De Moor B., Gevers M., Goodwin G., "$L_2$-Overbiased, $L_2$-underbiased and $L_2$-unbiased estimation of transfer functions", Automatica, vol.30, no.5, Apr. 1994, pp. 893-898.


417. De Moor B., Zha H., "A tree of generalizations of the ordinary singular value decomposition", Linear Algebra Appl., vol. 147, 1991, pp. 469-500.


418. De Moor B., "On the structure and geometry of the product singular value decomposition", Linear Algebra and its Applications, vol.168, Apr. 1992, pp. 95-136.


419. De Moor B., Golub G., "Generalized singular value decompositions: A proposal for a standardized nomenclature", Numerical Analysis Project Manuscript NA-89-04I Department of Computer Science, Stanford University, 15 p.


420. De Moor B., Golub G., "The restricted singular value decomposition: properties and applications", Siam Journal on Matrix Analysis and Applications, vol.12, no.3, Jul. 1991, pp. 401-425.


421. De Moor B., Vandenberghe L., Vandewalle J., "The generalized linear complementarity problem and an algorithm to find all its solutions", Mathematical Programming 57, 1992, pp. 415-426.


422. Vandenberghe L., De Moor B., Vandewalle J., "The generalized linear complementarity problem applied to the complete analysis of piecewise-linear resistive circuits", IEEE Transactions on Circuits and Systems, Volume 36, Number 11, Nov. 1989, pp. 1382-1391.


423. Moonen M., De Moor B., Vandenberghe L., Vandewalle J., "On- and off-line identification of linear state-space models", International Journal of Control, vol.49, Jan. 1989, pp. 219-232.


424. Callaerts D., De Moor B., Vandewalle J., Sansen W., "Comparison of SVD-methods to extract the fetal electrocardiogram from cutaneous electrode signals", Med. and Biol. Eng. and Computing, vol.28, May 1990, pp. 217-224.


425. De Moor B., Vandewalle J., "Non-conventional matrix calculus in the analysis of finite rank Hankel matrices", System and Contr. Lett., vol.9, no.5, North Holland, 1987, pp. 401-410.


426. De Groen P., De Moor B., "The fit of a sum of exponentials to noisy data", Journal of Computational and Applied Mathematics, vol.20, North-Holland, 1987, pp. 175-187.


427. Chen J., Vandewalle J., De Moor B., "ARMA Spectral Estimation by an adaptive IIR filter", Linear Algebra and its Applications, vol.121, Aug. 1989, pp. 560-567.

National Journal Papers

1. De Moor B., De Vos M., Vens C., Nowe A., Heyman R., "Artificiele intelligentie : een nieuwe systeemtechnologie, ook in Vlaanderen", Vlaams Tijdschrift voor Overheidsmanagement, vol. 4, 2022, pp. 35-47.


2. Verdonck P., Van Hulle M., De Moor B., Mannens E., Mattheus R., Molenberghs G., Ongenae F., Peters M., Preneel B., Robben F., "Data Science and Healthcare", Koninklijke Vlaamse Academie van Belgie voor Wetenschappen en Kunsten, standpunten 48b, 2018, pp. 1-30.


3. Votrino A., Van den Bosch T., Installe A., Van Schoubroeck D., Kaijser J., Kacem Y., De Moor B., Van Pachterbeke C., Timmerman D., "Optimizing the ultrasound visualization of the endometrial-myometrial junction (EMJ)", Facts, Views & Vision in ObGyn, vol. 7, no. 1, 2015, pp. 60-63.


4. Baets R., Bruynseraede Y., Henriet J.P., Hirsch C., De Moor B., Fransaer D., Tambuyser E., Verstraete W., "Innovative Entrepreneurship via Spin-offs of knowledge centers", Royal Flemish Academy of Belgium, Position Paper, standpunten 32, vol. *, 2015, pp. 1-34.


5. Bruynseraede Y., De Moor B., Swaelens B., Tambuyzer E., Vandamme E., Vander Sloten J., Vansteenkiste E., Van Vaerenbergh I., Verdonck P., "MEDische TECHnologie als motor voor innovatieve gezondheidszorg", Standpunt Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten, Klasse Technische Wetenschappen, Jun. 2014, pp. 1-14.


6. De Moor B., "Een ingenieur over leven na letteren", Jaarboek : Uit het Erasmushuis, Alumni Letteren, KU Leuven, 2013, pp. 1-4.


7. De Moor B., "Grenzeloos curriculum", Q & A over de grenzen, vol. 3, 2011, pp. 26-27.


8. Breckpot M., De Moor B., "Overstromingen te slim af.", EOS, no. 2, Feb. 2010, pp. 34-35.


9. De Moor B., "De paradoxen van het innovatiebeleid", Het Ingenieursblad, Jun-Jul. 2009, 60 p.


10. De Moor B., "De paradoxen van het innovatiebeleid", Het Ingenieursblad, Dec. 2008, pp. 68.


11. De Moor B., "STEM sells !", Geniaal, Tijdschrift van de Faculteit Ingenieurswetenschappen, K.U.Leuven, vol. 3, Oct. 2008, 17 p.


12. De Moor B., "Lentemanifest IV : Er is nog een kans", De Standaard, Mar. 2008, pp. 1-4.


13. De Moor B., "De paradoxen van het innovatiebeleid", Het Ingenieursblad, no. 3, 2007, 72 p.


14. De Moor B., "De paradoxen van het innovatiebeleid", Het Ingenieursblad, no. 10, Oct. 2007, pp. 72.


15. Vandekerckhove T., Bekaert S., Coessens B., De Moor B., Moreau Y., Van Criekinge W., "Bioinformatica : een nieuwe wetenschap ?", Het Ingenieursblad, no. 10, Oct. 2007, pp. 40-46.


16. Barjas Blanco T., Willems P., Berlamont J., De Moor B., Cauwenberghs K., Rombauts S., Raymaekers F., "Real-time sturing van wachtbekkens", Water, vol. 25, 2008, pp. 42-47.


17. Van Herpe T., De Block C., De Moor B., Van den Berghe G., "Continue glucosemonitors in opmars", Diabetes Info, vol. 51, no. 1, Jan. 2008, pp. 22-25.


18. De Moor B., "De paradoxen van het innovatiebeleid - 3", Het Ingenieursblad, (column), 2006, 48 p.


19. De Moor B., "De paradoxen van het innovatiebeleid-2", Het Ingenieursblad, no. 2, Feb. 2006, 64 p.


20. De Moor B., "Les Chercheurs recontrent les entrepreneus", Industrie Technique et management, Nov. 2004, pp. 59-60.


21. Van Herpe T., Van den Berghe G., De Moor B., "Technologie en Diabetes... een grote toekomst met een naderend hoogtepunt!", Diabetes Info, vol. 49, no. 2, Mar. 2006, pp. 17-18.


22. De Moor B., Muresan E.M., "Soccer mining : voetbal, tactiek en statistiek", Het Ingenieursblad, no. 10, Oct. 2005, pp. 22-29.


23. De Moor B., "Voor kwaliteit en creativiteit aan onze Universiteit", Beleidstekst n.a.v. de rectorverkiezingen, K.U.Leuven, no. 1, 2005, pp. 1-146.


24. De Moor B., "De paradoxen van het innovatiebeleid", Het Ingenieursblad, Column, vol. 8-9, Sep. 2005, 64 p.


25. De Moor B., "'Voetbal en technologie'-week", Natuur en Techniek, Scheurkalender, 2004.


26. Bellemans T., De Schutter B., De Moor B., "Models for traffic control", Journal A, vol. 43, no. 3-4, 2002, pp. 13-22.


27. De Moor B., Verrelst H., "Fraude en fraudedetectie in mobilofoon netwerken", Het Ingenieursblad, no. 12, 2000, pp. 33-38.


28. De Smet F., Marchal K., Timmerman D., De Moor B., Moreau Y., "Gebruik van microroosters in de klinische oncologie", Tijdschrift voor Geneeskunde, vol. 57, no. 18, Sep. 2001, pp. 1225-1236.


29. Van Brempt W., Backx T., Ludlage J., Van Overschee P., De Moor B., "A high performance model predictive controller : application on a polyethylene gas phase reactor", Journal A, vol. 41, no. 1, Mar. 2000, pp. 46-51.


30. Van Gestel T., De Moor B., De Lathauwer L., Lemmerling P., Buijs J., Favoreel W., Vanderick L., Depreter A., Hoornaert L., Crepel M., "Survey of specific electric consumptions and consumption profiles of domestic appliances", Revue d'Electricit'e et d'Electronique Industrielle - Tijdschrift voor Elektriciteit en Industriële Electronica, Speical Issue on les émissions de CO2 due á la conversion d'énergie : une analyse du cycle de vie - De oorsprong van CO2-emissies ten gevolge van energieconversie, herfst 2000, pp. 14-19.


31. De Moor B., Bellemans T., "Niet opgelost, wel uitgelegd : file ! file ! file !", Teek Magazine, Nov. 1999, pp. 36-39.


32. De Schutter B., Bellemans T., Logghe S., Stada J., De Moor B., Immers B., "Advanced traffic control on highways", Journal A, vol. 40, no. 4, Dec. 1999, pp. 42-51.


33. De Moor B., De Gersem P., De Schutter B., Favoreel W., "DAISY : A database for identification of systems", Journal A, Special Issue on CACSD (Computer Aided Control Systems Design), vol. 38, no. 3, Sep. 1997, pp. 4-5.


34. Minten W., Vranckx S., De Moor B., Vandewalle J., "BondLab, A MathLab based GUI for Bond Graph modeling", Journal A, Special Issue on CACSD (Computer Aided Control Systems Design), vol. 38, no. 8, Sep. 1997, pp. 11-15.


35. Van Overschee P., Moons C., Van Brempt W., Vanvuchelen P., De Moor B., "RaPID : the end of heuristic PID tuning", Journal A, Special Issue CACSD (Computer Aided Control Systems Design), vol. 38, no. 3, Sep. 1997, pp. 6-10.


36. De Moor B., "Wetenschaps- en technologiebeleid in Vlaanderen", Onze Alma Mater, no. 1, Feb. 1996, pp. 104-134.


37. Aerts D., Apostel B., De Moor B., Hellemans S., "Perspectives on the world: an interdisciplinairy reflection", VUB Press, Brussels, 1995.


38. De Moor B., "The Limit is the Sky. Bart De Moors relaas van een onderzoeksverblijf aan een Amerikaanse topuniversiteit", Campuskrant, 1991, pp. 1.

International Conference Papers

1. Lagauw S., Vanpoucke L., De Moor B., "Exact Characterization of the Global Optima of Least Squares Realization of Autonomous LTI Models as a Multiparameter Eigenvalue Problem", in Proc. of the 22nd European Control Conference (ECC), Stockholm, Sweden, Jun. 2024, pp. 3439--3444.


2. Vermeersch C., Lagauw S., De Moor B., "Multivariate Polynomial Optimization in Complex Variables Is a (Rectangular) Multiparameter Eigenvalue Problem", in Proc. of the 62nd Conference on Decision and Control (CDC62), Marina Bay Sands, Singapore, Dec. 2023, pp. 7299--7305.


3. Scheltjens V., Wamba Momo L.N., Verbeke W., De Moor B., "Client Recruitment for Federated Learning in ICU Length of Stay Prediction", in Proc. of the 2023 IEEE 19th International Conference on e-Science, Limassol, Cyprus, Oct. 2023, pp. 1-9.


4. Botman L., Lago J., Becker T., Agudelo M., Vanthournout K., De Moor B., "A scalable method for probabilistic short-term forecasting of individual households consumption in low voltage grids", in Proc. of the IEEE PES Grid Edge Technologies Conference & Exposition, San Diego, California, Apr. 2023, pp. 1-5.


5. Rinaldi G., Crema Garcia F., Agudelo M., Becker T., Vanthournout K., Mestdagh W., De Moor B., "A Framework for a Data Quality Module in Decision Support Systems: an application with Smart Grid Time series", in Proceedings of the 25th International Conference on Enterprise Information Systems (ICEIS 2023) (ICEIS), Prague, Czech Republic, Apr. 2023, pp. 443-452.


6. Pandey A., De Meulemeester H., De Plaen H., De Moor B., Suykens J.A.K., "Recurrent Restricted Kernel Machines for Time-series Forecasting", in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022) (ESANN 2022), Brugge, Belgium, Oct. 2022.


7. Schreurs J., De Meulemeester H., Fanuel M., De Moor B., Suykens J.A.K, "Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks", in Proc. of the conference on machine Learning, Optimization and Data science (LOD), Grasmere, England, Oct. 2021, 466–480 p.


8. De Meulemeester H., Schreurs J., Fanuel M., De Moor B., Suykens J.A.K., "The Bures Metric for Generative Adversarial Networks", in Machine Learning and Knowledge Discovery in Databases., (Oliver N., Pérez-Cruz F., Kramer S., Read J., and Lozano J.A., eds.), Research Track. ECML PKDD 2021, vol. 12976 of mph{Lecture Notes in Computer Science}, Springer, Cham., 2021, pp. 52-66.


9. De Meulemeester H., De Moor B., "Unsupervised Embeddings for Categorical Variables", in 2020 International Joint Conference on Neural Networks (IJCNN), 2020, 8 p.


10. De Moor B., "Least Squares realization of LTI models is an eigenvalue problem", in Proceedings of the European Control Conference, ECC 2019, Napels, Italy, Jun. 2019, pp. 2270-2275.


11. Vergauwen B., Agudelo M., De Moor B., "Order estimation of two dimensional systems based on rank decisions", in Proc. of the 57th IEEE Conference on Decision and Control (CDC 2018), Miami Beach, FL, Dec. 2018, pp. 1451-1456.


12. Vergauwen B., Agudelo M., Thilak Rajan R., Pasveer F., De Moor B., "Data-driven modeling techniques for indoor CO2 estimation", in Proc. of IEEE Sensors 2017, Glasgow, Scotland, Oct. 2017, pp. 840-842.


13. De Moor B., "Clinical Decision Support Systems & Connected Health", in Proc. of the Holst Memorial Symposium and Lecture, Eindhoven, The Netherlands, Nov. 2015, pp. 18-20.


14. Dekervel J., Popovic D., van Malenstein H., Windmolders P., Libbrecht L., Bulle A., De Moor B., Nevens F., Van Cutsem E., Verslype C., van Pelt J., "O-013 A global risk gene score predicts early and late tumor recurrence after resection of hepatocellular carcinoma", in in Proc. of ESMO 17th World Congress on Gastrointestinal Cancer published in Annals of oncology, Vol.26, suppl.4, Barcelona, Spain, Jul. 2015, pp. iv112-iv113.


15. Wynants L., Installe A.J.F., Pascual M.A., Leone F.P.G., Sladkevicius P., Alcazar J.L., Valentin L., Epstein E., De Moor B., Van Huffel S., Van Calster B., Bourne T., Timmerman D., Van den Bosch T., "The international endometrial tumor analysis (IETA) study : Interim analysis of measurement differences between centres.", in Ultrasound in Obstetrics and Gynecology (IUUOG), vol. 46, Suppl. 1, Montreal, Canada, Oct. 2015, 14 p.


16. Saso S., Al-Memar M., Ismail L., Bobdiwala S., Roelants P., Nikolic G., Popovic D., Stalder C., De Moor B. Bourne T., "Do pregnancy outcomes correlate with the amount and duration of vaginal bleeding or abdominal pain in the first trimester? A preliminary study", in Ultrasound in Obstetrics & Gynecology, Volume 46, Issue Supplement S1 (Abstracts of the 25th World Congress on Ultrasound in Obstetrics and Gynecology), Montréal, Canada, Oct. 2015, pp. 42-43.


17. Saso S., Al-Memar M., Ismail L., Bobdiwala S., Roelants P., Nikolic G., Popovic D., Stalder C., De Moor B. Bourne T., "Does fetal growth in the first trimester correlate with the amount and duration of vaginal bleeding or abdominal pain? A preliminary study", in Ultrasound in Obstetrics & Gynecology, Volume 46, Issue Supplement S1 (Abstracts of the 25th World Congress on Ultrasound in Obstetrics and Gynecology), Montréal, Canada, Oct. 2015, pp. 42.


18. Popovic D., Davis J., Sifrim A., De Moor B., "A Note on the Evaluation of Mutation Prioritization Algorithms", in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI), Capetown, South Africa, Dec. 2015, pp. 1351-1357.


19. Chandorkar M., Mall R., Lauwers O., Suykens J. A. K., De Moor B., "Fixed-Size Least Squares Support Vector Machines: Scala Implementation for Large Scale Classification", in Proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Cape Town, South Africa, Dec. 2015.


20. Agudelo M., Viaene P., De Moor B., "Improving the PM10 estimates of the air quality model AURORA by using Optimal Interpolation", in Proc. of the 17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China, Oct. 2015, pp. 1154-1159.


21. Vandermeersch A., De Moor B., "A SVD approach to multivariate polynomial optimization problems", in Proc. of the IEEE 54th Annual Conference on Decision and Control (CDC 2015), Osaka, Japan, Dec. 2015, pp. 7232-7237.


22. Claesen M., De Moor B., "Hyperparameter Search in Machine Learning", in Proc. of the 11th Metaheuristics International Conference (MIC'2015), Agadir, Morocco, Jun. 2015.


23. Moschopoulos C., Popovic D., Langone R., Suykens JAK., De Moor B., Moreau Y., "Gene interaction networks boost genetic algorithm performance in biomarker discovery", in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, USA, Dec. 2014, pp. 144-149.


24. Popovic D., Sifrim A., Davis J., Moreau Y., De Moor B., "Improving performance of the eXtasy model by hierarchical sampling", in Proc. of the Pattern Recognition in Bioinformatics - 9th IAPR International Conference (PRIB 2014), Stockholm, Sweden, Aug. 2014, pp. 125-128.


25. Popovic D., Moschopoulos C., Sakai R., Sifrim A., Aerts J., Moreau Y., De Moor B., "A self-tuning genetic algorithm with applications in biomarker discovery", in Proc. of the IEEE 27th International Symposium on Computer-based Medical Systems (CBMS 2014), New York, USA, May 2014, pp. 233-238.


26. Popovic D., Sifrim A., Moreau Y., De Moor B., "eXtasy simplified - towards opening the black box", in Proc. of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shanghai, China, Dec. 2013, pp. 24-28.


27. Moschopoulos C., Popovic D., Sifrim A., Beligiannis G., De Moor B., Moreau Y., "A genetic algorithm for pancreatic cancer diagnosis", in Engineering Applications of Neural Networks (Communications in Computer and Information Science) 384 (EANN2013), Chalkidiki, Greece, Sep. 2013, pp. 222-230.


28. Popovic D., Sifrim A., Moschopoulos C., Moreau Y., De Moor B., "A Hybrid Approach to Feature Ranking for Microarray Data Classification", in Engineering Applications of Neural Networks (Communications in Computer and Information Science) Volume 384 (EANN 2013), Chalkidiki, Greece, Sep. 2013, pp. 241-248.


29. Thomas M., Daemen A., De Moor B., "Maximum likelihood estimation of GEVD - Applications in Bioinformatics", in Proc. of the The Twelfth Asia Pacific Bioinformatics Conference (APBC 2014), Shanghai, China, Jan. 2014, pp. 1-9.


30. Huyck B., De Brabanter J., De Moor B., Van Impe J. and Logist F., "Model predictive control of a pilot-scale destination column using a programmable automation controller", in Proc. of the European Control Conference 13 (ECC13), Zurich, Switzerland, Jul. 2013, pp. 1053-1058.


31. Falck T., De Moor B., Suykens J.A.K., "Kernel based identification of systems with multiple outputs using nuclear norm regularization", in Book of Abstracts, KU Leuven (Leuven, Belgium), 2013.


32. Ugryumova D., Vandersteen G., Huyck B., Logist F., Van Impe J., De Moor B., "Identification and Modeling of Distillation Columns From Transient Response Data", in Proc. of the IEEE International Instrumentation and Measurement Technology Conference (IӍTC 2012), Graz, Austria, May 2012, pp. 2098 - 2103.


33. Popovic D., Sifrim A., Pavlopoulos G.A., Moreau Y., De Moor B., "A Simple Genetic Algorithm for Biomarker Mining", in Springer's Lecture Notes in Computer Science / Lecture Notes in Bioinformatics (PRIB 2012), Tokyo, Japan, Nov. 2012, pp. 222-232.


34. Iacucci E., Tranchevent L.-C., Popovic D., Pavlopoulos G. A., De Moor B., Schneider R., Moreau Y., "A Bioinformatics E-dating Story: Computational Prediction and Prioritization of Receptor-Ligand Pairs", in Proc. of the International Conference on Intelligent Systems for Molecular Biology (ISMB SCS 2012) published in special issue of BMC Bioinformatics, vol. 13, suppl. 18, Long Beach, California, Jul. 2012, A7 p.


35. Breckpot M., Agudelo M., De Moor B., "Model Predictive Control of a river system with two reaches", in Proc. of the 51st IEEE Conference on Decision and Control (CDC2012), Maui, Hawaii, Dec. 2012, pp. 4549-4554.


36. De Brabanter K., De Moor B., "Deconvolution in Nonparametric Statistics", in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Brugge, Belgium, Apr. 2012, pp. 341-350.


37. Huyck B., Callebaut L., Logist F., Ferreau H. J., Diehl M., De Brabanter J., Van Impe J., De Moor B., "Implementation and Experimental Validation of Classical MPC on Programmable Logic Controllers", in Proc. of the 20th Mediterranean Conference on Control and Automation. Barcelona, July 3-6, 2012 (MED 2012), Barcelona, Spain, Jul. 2012, pp. 679-684.


38. Breckpot M., Agudelo M., De Moor B., "Control of a single reach with model predictive control", in River Flow 2012, (Murillo Mu񯺠R.E. , ed.), Proc. of the International Conference on Fluvial Hydraulics, CRC Press/Balkema (2300 AK Leiden, the Netherlands), 2012, pp. 1021-1028.


39. Iacucci E., Popovic D., Pavlopoulos G., Tranchevent L-C., De Moor B., Moreau Y., "Towards Better Prioritization of Epigenetically Modified DNA Regions", in Springer's Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (SETN 2012), Lamia, Greece, May 2012.


40. De Brabanter K., De Brabanter J., Suykens J.A.K., Vandewalle J., De Moor B., "Robustness of Kernel Based Regression: Influence and Weight Functions", in Proc. of the 2012 IEEE World Congress on Computational Intelligence (IJCNN), Brisbane, Australia, Jun. 2012, pp. 3387-3394.


41. Geebelen D., Batselier K., Dreesen P., Signoretto M., Suykens J.A.K., De Moor B., Vandewalle J., "Joint Regression and Linear Combination of Time Series for Optimal Prediction", in Proc. of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, Apr. 2012.


42. Dreesen P., Batselier K., De Moor B., "Weighted/Structured Total Least Squares Problems and Polynomial System Solving", in Proc. of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Brugge, Belgium, Apr. 2012, pp. 351-356.


43. Batselier K., Dreesen P., De Moor B., "Prediction Error Method Identification is an Eigenvalue Problem", in Proc. of the 16th IFAC Symposium on System Identification (Sysid 2012), Brussels, Belgium, Jul. 2012.


44. Breckpot M., Agudelo M., De Moor B., "Modelling of a river system with multiple reaches", in Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012), Brussels, Belgium, Jul. 2012, pp. 1454 - 1459.


45. De Brabanter K., De Brabanter J., De Moor B., "Nonparametric Derivative Estimation", in Proc. of the the 23rd Benelux Conference on Artificial Intelligence (BNAIC), Gent, Belgium, Nov. 2011, pp. 75-81.


46. Liu X.H., Glänzel W., De Moor B., "A hierarchical and optimal clustering of WoS journal database by hybrid information", in Proc. of 13th International Conference on Sciencetometrics and Informetrics (ISSI2011), Durban, South Africa, Jul. 2011, 12 p.


47. De Brabanter K., De Brabanter J., Gijbels I., Suykens J.A.K., De Moor B., "New Developments in Kernel Regression with Correlated Errors", in Graybill 2011 Conference on Modern Nonparametric Methods (Graybill), Fort Collins, Colorado, Jun. 2011.


48. Agudelo M., Barrero O., Viaene P., De Moor B., "Assimilation of ozone measurements in the air quality model AURORA by using the Ensemble Kalman Filter", in Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC - ECC 2011), Orlando, USA, Dec. 2011, pp. 4430-4435.


49. De Brabanter K., Karsmakers P., De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., "On Robustness in Kernel Based Regression", in NIPS 2010 Workshop Robust Statistical Learning (ROBUSTML) (NIPS 2010), Whistler, Canada, Dec. 2010.


50. Huyck B., Logist F., De Brabanter J., Van Impe J., De Moor B., "Constrained Model Predictive Control on a programmable automation system exploiting code generation: practical considerations", in Proceedings of the 18th IFAC World Congress (IFAC2011), Milano, Italy, Aug. 2011, pp. 12207-12212.


51. Huyck B., De Brabanter K., Logist F., De Brabanter J., Van Impe J., De Moor B., "Identification of a Pilot Scale Distillation Column: A Kernel Based Approach", in Proc. of the 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy, Sep. 2011, pp. 471-476.


52. Falck T., Ohlsson H., Ljung L., Suykens J.A.K., De Moor B., "Segmentation of time series from nonlinear dynamical systems", in Proc. of the 18th World Congress of the International Federation of Automatic Control, Milan, Italy, Aug. 2011, pp. 13209-13214.


53. Bonilla J., Logist F., De Moor B., Van Impe J., "Parameter Estimation of a Rigorous Rate Base Model for Distillation in Packed Columns", in Proceedings of the 18th IFAC World Congress (IFAC2011), Milano, Italy, Aug. 2011, pp. 465-470.


54. Dreesen P., Batselier K., De Moor B., "Back to the Roots: Polynomial System Solving, Linear Algebra, Systems Theory", in Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012), Brussels, Belgium, Jul. 2012, pp. 1203-1208.


55. Batselier K., Dreesen P., De Moor B., "Maximum Likelihood Estimation and Polynomial System Solving", in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 2012 (ESANN 2012), Brugge, Belgium, Apr. 2012.


56. Willems P., Barjas Blanco T., Chiang P., Cauwenberghs K., Berlamont J., De Moor B., "Real-time control of urban flooding.", in Water & Urban Development Paradigms: Towards an integration of engineering, design and management approaches., (Feyen J., Shannon K., and Neville M. , eds.), CRC Press, Taylor & Francis Group (London, UK), 2008, pp. 265-270.


57. Ojeda F., Signoretto M., Van de Plas R., Waelkens E., De Moor B., Suykens J.A.K., "Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging", in Pattern Recongintion in Bioinformatics, (Dijkstra T.M.H, Tsivtsivadze E., Marchiori E., and Heskes T., eds.), 5th IAPR International Conference, PRIB 2010 Nijmegen, The Netherlands, September 2010, vol. 6282 of Lecture Notes in Bioinformatics. Subseries of Lecture Notes in Computer Science, Springer-Verlag, 2010, pp. 325-334.


58. Ojeda F., Falck T., De Moor B., Suykens J.A.K., "Polynomial componentwise LS-SVM: fast variable selection using low rank updates", in Proc. of the International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, Jul. 2010, pp. 3291-3297.


59. Falck T., Suykens J.A.K., Schoukens J., De Moor B., "Nuclear Norm Regularization for Overparametrized Hammerstein Systems", in Proc. of the 49th IEEE Conference on Decision and Control (CDC2010), Atlanta, GA, Dec. 2010, pp. 7202-7207.


60. Agudelo M., Espinosa J., De Moor B., "Reduction of the computational burden of POD models with polynomial nonlinearities", in Proceedings of the 49th IEEE Conference on Decision and Control (CDC 2010), Atlanta, USA, Dec. 2010, pp. 3457-3462.


61. Breckpot M., Barjas Blanco T., De Moor B., "Flood control of rivers with model predictive control and moving horizon estimation.", in Proc. of the 49th IEEE Conference on Decision and Control (CDC 2010), Atlanta, Georgia, Dec. 2010, pp. 6107 - 6112.


62. Falck T., Suykens J.A.K., De Moor B., "Linear Parametric Noise Models for Least Squares Support Vector Machines", in Proc. of the 49th IEEE Conference on Decision and Control (CDC2010), Atlanta, GA, Dec. 2010, pp. 6389-6394.


63. Bonilla J., Logist F., Diehl M., De Moor B., Van Impe J., "A suboptimal solution to nonconvex optimal control problems involving input affine dynamic models", in Proc. of theEuropean Symposium on Computer Aided Process Engineering (ESCAPE20), ?,?, 2010, pp. 1527-1532.


64. De Brabanter K., Sahhaf S., Karsmakers P., De Brabanter J., Suykens J.A.K., De Moor B., "Nonparametric Comparison of Densities Based on Statistical Bootstrap", in Proc. of the Fourth European Conference on the Use of Modern Information and Communication Technologies (ECUMICT), Gent, Belgium, Mar. 2010, pp. 179-190.


65. De Brabanter K., De Brabanter J., Suykens J.A.K., De Moor B., "Kernel Regression with Correlated Errors", in Proc. of the the 11th International Symposium on Computer Applications in Biotechnology (CAB), Leuven, Belgium, Jul. 2010, pp. 13-18.


66. Breckpot M., Barjas Blanco T., De Moor B., "Flood control of rivers with Model Predictive Control -- proof of concept based on the river Demer in Belgium", in Proc. of the 2010 American Control Conference (ACC2010), Baltimore, USA, Jun. 2010, pp. 2983-2988.


67. Talmor AJ., Daemen A., Murdoch E., Missfelder-Lobos H., De Moor B., Timmerman D., Bourne T., Lees C., "The relationship between abdominal circumference and middle cerebral artery Doppler z-scores in severe early onset fetal growth restriction", in Proc. of the 20th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Hamburg, Germany, Sep. 2009, 257 p.


68. Talmor AJ., Daemen A., Murdoch E., De Moor B., Missfelder-Lobos H., Timmerman D., Bourne T., Lees C., "The relationship between abdominal circumference and umbilical artery Doppler z-scores in severe early onset fetal growth restriction", in Proc. of the 20th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Hamburg, Germany, Sep. 2009, 151 p.


69. Habayeb O., Daemen A., Timmerman D., De Moor B., Bourne T., Hackett G., Lees C., "The relationship between fetal growth in the first trimester, PAPP-A and birthweight percentiles", in Proc. of the 20th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Hamburg, Germany, Sep. 2009, 95 p.


70. Habayeb O., Daemen A., Timmerman D., De Moor B., Bourne T., Hackett G., Lees C., "The relationship between early first trimester PAPP-A and birthweight percentiles", in Proc. of the 20th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Hamburg, Germany, Sep. 2009, 253 p.


71. Pexsters A., Daemen A., Frijns JP., Bottomley C., Van Schoubroeck D., De Catte L., De Moor B., D'Hooghe T., Timmerman D., Bourne T., "Crown-rump length in genetically abnormal pregnancies compared to a CRL curve for normal pregnancies", in Proc. of the 20th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Hamburg, Germany, Sep. 2009, 85 p.


72. Pexsters A., Daemen A., Bottomley C., Van Schoubroeck D., De Catte L., De Moor B., D'Hooghe T., Lees C., Timmerman D., Bourne T., "A new crown-rump length curve based on over 3500 pregnancies", in Proc. of the 20th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Hamburg, Germany, Sep. 2009, pp. 11-12.


73. Logist F., Huyck B., Fabre M., Verwerft M., Pluymers B., De Brabanter J., De Moor B., Van Impe J., "Identification and control of a pilot scale binary distillation column", in Proc. of the European Control Conference 2009 (ECC09), Budapest, Hungary, Aug. 2009, pp. 4659-4664.


74. Daemen A., De Moor B., "Development of a kernel function for clinical data", in Proc. of the 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Minneapolis, Minnesota, Sep. 2009, pp. 5913-5917.


75. Haverbeke N., Diehl M., De Moor B., "A Structure Exploiting Interior-Point Method for Moving Horizon Estimation", in Proc. of the 48th IEEE Conference on Decision and Control Conference (CDC'09), Shanghai, China, Dec. 2009, pp. 1273-1278.


76. Alzate C., Espinoza M., De Moor B., Suykens J.A.K., "Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering", in Proc. of the 19th International Conference on Artificial Neural Networks (ICANN 2009), Limassol, Cyprus, Sep. 2009, pp. 315-324.


77. Falck T., Suykens J.A.K., De Moor B., "Robustness Analysis for Least Squares Kernel Based Regression: an Optimization Approach", in Proc. of the 48th IEEE Conference on Decision and Control (CDC 2009), Shanghai, China, Dec. 2009, pp. 6774-6779.


78. Bonilla J., Diehl M., Logist F., De Moor B., Van Impe J., "A Convex Approximation for Parameter Estimation Involving Parameter-Affine Dynamic Models", in Proc. of the 48th Conference on Decision and Control and 28th Chinese Control Conference (CDC'09), Shanghai, China, Dec. 2009, pp. 4670-4675.


79. De Brabanter K., Pelckmans K., De Brabanter J., Debruyne M., Suykens J.A.K., Hubert M., De Moor B., "Robustness of Kernel Based Regression: a Comparison of Iterative Weighting Schemes", in Proc. of the 19th International Conference on Artificial Neural Networks (ICANN), Limassol, Cyprus, Sep. 2009, pp. 100-110.


80. Van Herpe T., Haverbeke N., Van den Berghe G., De Moor B., "Prediction Performance Comparison between three Intensive Care Unit Glucose Models", in Proc. of the 7th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS'09), Aalborg, Denmark, Aug. 2009, pp. 7-12.


81. Barjas Blanco T., De Moor B., "Robust MPC based on symmetric low-complexity polytopes", in Proc. of the 17th Mediterranean Conference on Control and Automation (MED09), Thessaloniki, Greece, Jun. 2009, CDROM p.


82. Liu X.H., Yu S., Moreau Y., De Moor B., Glanzel W., Janssens F., "Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets", in Proc. of the SIAM Data Mining Conference 09 (SIAM DM 09), Sparks, Nevada USA, May 2009, pp. 46-60.


83. Yu S., De Moor B., Moreau Y., "Clustering by heterogeneous data fusion: framework and applications", in Neural Information Processing 2009 workshop learning from multiple sources (NIPS 2009 workshop), Whistler, Canada, Dec. 2008.


84. Falck T., Pelckmans K., Suykens J.A.K., De Moor B., "Identification of Wiener-Hammerstein Systems using LS-SVMs", in Proceedings of the 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, Jul. 2009, pp. 820-825.


85. De Brabanter K., Dreesen P., Karsmakers P., Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., "Fixed-Size LS-SVM Applied to the Wiener-Hammerstein Benchmark", in Proc. of the 15th IFAC Symposium on System Identification (SYSID 2009), Saint-Malo, France, Jul. 2009, pp. 826-831.


86. Agudelo M., Espinosa J., De Moor B., "Acceleration of Nonlinear POD Models: A Neural Network Approach", in Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, Aug. 2009, pp. 1547-1552.


87. Barjas Blanco T., De Moor B., "Robustly invariant polytopes based on the L1-norm", in Proc. of the 28th IASTED International Conference on Modelling, Identification and Control (MIC2009), Innsbruck, Austria, Feb. 2009, CDROM p.


88. Willems P., Barjas Blanco T., Berlamont J., De Moor B., "Evaluation of river flood regulation by means of model predictive control", in Proc. of the 4th Internation Symposium on Flood Defence (ISFD4), Toronto, Canada, May 2008, pp. 80.1-80.8.


89. Daemen A., Gevaert O., Leunen K., Legius E., Vergote I., De Moor B., "Supervised classification of array CGH data with HMM-based feature selection", in Pacific Symposium on Biocomputing (PSB), Big Island, Hawaii, Jan. 2009, pp. 468-479.


90. Van den Bosch T., Vandenbroucke V., Daemen A., Domali E., Van Schoubroeck D., De Moor B., Deprest J., Timmerman D., "Removal of focal intracavity lesions results in cessation of abnormal uterine bleeding in the vast majority of women", in Proc. of the 18th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Chicago, Illinois, Aug. 2008, 258 p.


91. Espinoza M., Falck T., Suykens J.A.K., De Moor B., "Time Series Prediction using LS-SVMs", in Proc. of the European Symposium on Time Series Prediction (ESTSP08), Porvoo, Finland, Sep. 2008, pp. 159-168.


92. Daemen A., Gevaert O., Leunen K., Vanspauwen V., Michils G., Legius E., Vergote I., De Moor B., "Classification of sporadic and BRCA1 ovarian cancer based on a genome-wide study of copy number variations", in Knowledge-Based Intelligent Information and Engineering Systems, (Lovrek I., Howlett R.J., and Jain L.C., eds.), vol. 5178 of mph{Lecture Notes in Artificial Intelligence}, Springer, 2008, pp. 165-172.


93. Bonilla J., Diehl M., De Moor B., Van Impe J., "A Nonlinear Least Squares Estimation Procedure without Initial Parameter Guesses", in Proc. of the 47th IEEE conference on Decision and Control (CDC'08), CANCUN, MEXICO, Dec. 2008, pp. 5519-5524.


94. Bottomley C., Daemen A., Mukri F., Papageorghiou A.T., Kirk E., Pexsters A., De Moor B., Timmerman D., Bourne T., "Growth delay in the first trimester: sensitivity and specificity of using serial measurements of embryonic growth for the prediction of early pregnancy loss", in Proc. of the 18th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Chicago, Illinois, Aug. 2008, 278 p.


95. Bottomley C., Daemen A., Mukri F., Papageorghiou A.T., Kirk E., Pexsters A., De Moor B., Timmerman D., Bourne T., "The influence of maternal age on early first trimester growth assessed by ultrasound", in Proc. of the 18th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Chicago, Illinois, Aug. 2008, 355 p.


96. Bottomley C., Daemen A., Mukri F., Kirk E., Papageorghiou A.T., Pexsters A., De Moor B., Timmerman D., Bourne T., "Assessing early first trimester growth with ultrasonography: the influence of ethnic background", in Proc. of the 18th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Chicago, Illinois, Aug. 2008, 354 p.


97. Daemen A., Van Holsbeke C., Fruscio R., Guerriero S., Czekierdowski A., Valentin L., Savelli L., Testa A., Colombo N., Bourne T., Vergote I., De Moor B., Timmerman D., "Prevalence of cancer and optimal cut-off levels for mathematical models to distinguish between benign and malignant adnexal masses", in Proc. of the 18th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Chicago, Illinois, Aug. 2008, pp. 292-293.


98. Daemen A., Van Holsbeke C., Gevaert O., Fruscio R., Guerriero S., Czekierdowski A., Valentin L., Savelli L., Testa A., Fischerova D., Bourne T., Vergote I., De Moor B., Timmerman D., "Prospective comparison of one-step and two-step models for the classification of adnexal masses as benign or malignant", in Proc. of the 18th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Chicago, Illinois, Aug. 2008, 368 p.


99. Gevaert O., Testa A., Daemen A., Van Holsbeke C., Fruscio R., Epstein E., Leone FPG., Czerkierdowski A., Valentin L., Savelli L., Bourne T., Amant F., De Moor B., Timmerman D., "Investigation of the performance of mathematical models on small ovarian masses on IOTA phase 1 and 2 data.", in 18th World Congress on Ultrasond in Obstetrics and Gynecology (ISUOG 2008), Chicago, Illinois, Aug. 2008, 1 p.


100. Gevaert O., Van Holsbeke C., Fruscio R., Guerriero S., Czekierdowski A., Savelli L., Testa A., Fischerova D., Jurkovic D., Bourne T., Neven P., Valentin L., De Moor B., Timmerman D., "Multicenter prospective testing to predict malignancy in adnexal masses using Bayesian network models", in 18th World Congress on Ultrasond in Obstetrics and Gynecology (ISUOG 2008), Chicago, Illinois, Aug. 2008, 1 p.


101. Bonilla Alarcon J., Diehl M., De Moor B., Van Impe J., "A convexity-Based Homotopy Method for Nonlinear Optimization in Model Predictive Control", in Book of abstracts of the International Conference on Nonconvex Programming, Rouen, France, Dec. 2007.


102. Van de Plas R., Pelckmans K., De Moor B., Waelkens E., "Spatial Querying of Imaging Mass Spectrometry Data: A Nonnegative Least Squares Approach", in The NIPS workshop on Machine Learning in Computational Biology (NIPS MLCB), Whistler (B.C.), Canada, Dec. 2007.


103. Barjas Blanco T., Willems P., De Moor B., Berlamont J., "Flood Prevention of the Demer River using Model Predictive Control", in Proc. of the 17th IFAC World Congress (IFAC), Seoul, South Korea, Jul. 2008, pp. 3629-3634.


104. Haverbeke N., Van Herpe T., Diehl M., Van den Berghe G., De Moor B., "Nonlinear model predictive control with moving horizon state and disturbance estimation - Application to the normalization of blood glucose in the critically ill.", in Proc. of the IFAC World Congress 2008 (IFAC08), Seoul, Korea, Jul. 2008, pp. 9069-9074.


105. Van de Plas R., De Moor B., Waelkens E., "Discrete Wavelet Transform-based Multivariate Exploration of Tissue via Imaging Mass Spectrometry", in Proc. of the 23rd Annual ACM Symposium on Applied Computing (ACM SAC), Fortaleza, Brazil, Mar. 2008.


106. Van de Plas R., De Moor B., Waelkens E., "Imaging Mass Spectrometry Based Exploration of Biochemical Tissue Composition using Peak Intensity Weighted PCA", in Proceedings of the Third IEEE/NIH BISTI Life Science Systems and Applications Workshop 2007 (LISSA 2007), Bethesda, Maryland USA, Nov. 2007.


107. Agudelo M., Espinosa J., De Moor B., "Algorithm for Reducing the Number of Constraints of POD-based Predictive Controllers", in Proceedings of the 47th IEEE Conference on Decision and Control (CDC 2008), Cancun, Mexico, Dec. 2008, pp. 4743 - 4748.


108. Pastor D., Cortes-Calabuig A., Lemmens K., De Moor B., Marchal K., Denecker M., "GeneReg: Integration of Experimental Data on the DNA Transcription Process", in Proc. of the 19th Belgian-Dutch Conference on Artificial Intelligence (BNAIC), Utrecht, Netherlands, Nov. 2007, pp. 1-8.


109. De Moor B., Van Delm W., Gevaert O., Engelen K., Coessens B., "Systems Biology, Come Forth !", in Foundations of Systems Biology in Engineering (FOSBE), Stuttgart, Germany, Sep. 2007, pp. 1-10.


110. Gevaert O., Van Vooren S., De Moor B., "Integration of microarray and textual data improves the prognosis prediction of breast, lung and ovarian cancer patients", in Pacific Symposium on Biocomputing (Pac Symp Biocomput. ), Kohala Coast, Hawaii, Jan. 2008, pp. 279-290.


111. Daemen A., Gevaert O., De Bie T., Debucquoy A., Machiels J.-P., De Moor B., Haustermans K., "Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer", in Pacific Symposium on Biocomputing (Pac Symp Biocomput. ), Kohala Coast, Hawaii, Jan. 2008, pp. 166-177.


112. Daemen A., Bottomley C., Gevaert O., De Moor B., Timmerman D., Bourne T., "Predicting early pregnancy loss with Functional Linear Discriminant Analysis (FLDA)", in Proc. of the 17th World Congress on Ultrasound in Obstetrics and Gynecology (ISUOG), Florence, Italy, Oct. 2007, 469 p.


113. Boets J., De Cock K., De Moor B., "A mutual information based distance for multivariate Gaussian processes", in Proc. of the 46th IEEE Conference on Decision and Control (CDC 2007), New Orleans (Louisiana), USA, Dec. 2007, pp. 3048-3053.


114. Yu S., De Moor B., Moreau Y., "Learning with heterogenous data sets by Weighted Multiple Kernel Canonical Correlation Analysis", in Proc. of the IEEE Machine Learning for Signal Processing (IEEE MLSP 2008), Thessaloniki, Greece, Aug. 2007, pp. 81-86.


115. Daemen A., Gevaert O., De Moor B., "Integration of clinical and microarray data with kernel methods", in Proc. of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, Aug. 2007, pp. 5411-5415.


116. Ojeda F., Suykens J.A.K, De Moor B., "Variable selection by rank-one updates for least squares support vector machines", in Proc. of the 2007 International Joint Conference on Neural Networks (IJCNN), Orlando, FL. U.S.A., Aug. 2007, pp. 2283-2288.


117. Pelckmans K., Suykens J.A.K., De Moor B., "Convex Optimization for the Design of Learning Machines", in Proc. of the European Symposium on Artificial Neural Networks (ESANN 2007), Bruges, Belgium, Apr. 2007, pp. 193-204.


118. Pelckmans K., Suykens J.A.K., De Moor B., "A Risk Minimization Principle for a Class of Parzen Estimators", in Proc. of the Neural Information Processing Systems (NIPS 2007), Vancouver, Canada, Dec. 2007.


119. Vanluyten B., Willems J.C., De Moor B., "A new Approach to the Identification of Hidden Markov Models", in Proc. of the 46-th IEEE Conference on Decision and Control (CDC 2007), New Orleans, LA, Dec. 2007, pp. 4901-4905.


120. Agudelo M., Espinosa J., De Moor B., "POD-Based Predictive Controller with Temperature Constraints for a Tubular Reactor", in Proceedings of the 46th IEEE Conference on Decision and Control (CDC 2007), New Orleans, USA, Dec. 2007, pp. 3537-3542.


121. Janssens F., Glanzel W., De Moor B., "Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis", in Proc. of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD°7), San Jose, California, Aug. 2007, pp. 360--369.


122. Barjas Blanco T., De Moor B., "Polytopic invariant sets for continuous-time systems", in Proc. of the European Control Conference 2007 (ECC07), Kos, Greece, Jul. 2007, pp. 5087-5093.


123. Rodriguez V., Janssens F., Ghazanchian M., Debackere K., De Moor B., "On material transfer agreements and visibility of researchers in biotechnology", in Proc. of the 11th International Conference of the International Society for Scientometrics and Informetrics (ISSI2007), Madrid, Spain, Jun. 2007, pp. 659-671.


124. Van de Plas R., Ojeda F., Dewil M., Van Den Bosch L., De Moor B., Waelkens E., "Prospective Exploration of Biochemical Tissue Composition via Imaging Mass Spectrometry Guided by Principal Component Analysis", in Proceedings of the Pacific Symposium on Biocomputing 12 (PSB), Maui, Hawaii, Jan. 2007, pp. 458-469.


125. Janssens F., Glanzel W., De Moor B., "A hybrid mapping of information science", in Proc. of the 11th International Conference of the International Society for Scientometrics and Informetrics (ISSI2007), Madrid, Spain, Jun. 2007, pp. 408--420.


126. Van Herpe T., Haverbeke N., Espinoza M., Van den Berghe G., De Moor B., "Adaptive modeling for control of glycemia in critically ill patients", in Proc. of the 10th International IFAC Symposium on Computer Applications in Biotechnology (Vol. 1) (CAB), Cancun, Mexico, Jun. 2007, pp. 159-164.


127. Agudelo M., Espinosa J., De Moor B., "Control of a Tubular Chemical Reactor by means of POD and Predictive Control Techniques", in Proceedings of the European Control Conference 2007 (ECC'07), Kos, Greece, Jul. 2007, pp. 1046-1053.


128. Van Herpe T., Haverbeke N., Pluymers B., Van den Berghe G., De Moor B., "The application of Model Predictive Control to normalize glycemia of critically ill patients.", in Proc. of the European Control Conference 2007 (ECC 2007), Kos, Greece, Jul. 2007, pp. 3116-3123.


129. Pelckmans K., Shawe-Taylor J., Suykens J.A.K., De Moor B., "Margin based Transductive Graph Cuts using Linear Programming", in Proc. of the 11th International Conference on Artificial Intelligence (AISTATS 2007), San Juan, Puerto Rico, Apr. 2007, pp. 360-367.


130. Vandewalle J., Suykens J.A.K., De Moor B., Lendasse A., "State of the art and evolutions in public data sets and competitions for system identification, time series prediction and pattern recognition", in Proc. of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), Honolulu, Hawai, Apr. 2007, pp. IV-1269 -- IV1272.


131. Vanluyten B., De Cock K., Willems J.C., De Moor B., "Equivalence of State Representations for Hidden Markov Models", in Proc. of the European Control Conference 2007 (ECC 2007), Kos, Greece, Jul. 2007.


132. Gillijns S., Haverbeke N., De Moor B., "Information, Covariance and Square-Root Filtering in the Presence of Unknown Inputs", in Proc. of the 2007 European Control Conference (ECC 2007), Kos, Greece, Jul. 2007, pp. 2213-2217.


133. Gillijns S., De Moor B., "Joint State and Boundary Condition Estimation in Linear Data Assimilation using Basis Function Expansion", in Proc. of the 26th IASTED Int. Conf. on Modelling, Identification, and Control (MIC 2007), Innsbruck, Austria, Feb. 2007, pp. 458-463.


134. Pelckmans K., Suykens J.A.K., De Moor B., "The Kingdom-Capacity of a Graph: On the Difficulty of Learning a Graph Labelling", in Proc. of the workshop Mining and Learning with graphs (MLG 2006), Berlin, Germany, Sep. 2006.


135. Janssens F., Tran Quoc V., Glanzel W., De Moor B., "Integration of textual content and link information for accurate clustering of science fields", in Proc. of the 1st International Conference on Multidisciplinary Information Sciences and Technologies (InSciT2006), M곩da, Spain, Oct. 2006, pp. 615-619.


136. Coessens B., Christiaens S., Verlinden R., Moreau Y., Meersman R., De Moor B., "Ontology-Guided Data Integration for Computational Prioritization of Disease Genes", in On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops, (Meersman R., Tari Z., and and Herrero P., eds.), vol. 4277 of mph{Lecture Notes in Computer Science}, Springer-Verlag, 2006, pp. 689-698.


137. Gevaert O., Ojeda F., Timmerman D., De Moor B., "Integrating proteomics in medical decision support systems using Bayesian networks", in Proc. of the conference on In-Silico Analysis of Proteins - Swiss-Prot (Swiss-Prot), Fortaleza, Brazil, Aug. 2006, pp. 1-2.


138. Pelckmans K., Van Vooren S., Coessens B., Suykens J.A.K., De Moor B., "Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus", in Proc. of the workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), Helsinki, Finland, Jun. 2006.


139. Agudelo M., Espinosa J., De Moor B., "Application of POD and Predictive Control Techniques to the control of the Temperature Profile of an one-dimensional bar", in Proceedings of the XII Latin-American Congress on Automatic Control (CLCA 2006), Salvador, Brazil, Oct. 2006, pp. CD-ROM.


140. Van Herpe T., Pluymers B., Espinoza M., Van den Berghe G., and De Moor B., "A minimal model for glycemia control in critically ill patients", in Proc. of the 28th IEEE EMBS Annual International Conference (EMBC 06), New York City, USA, Aug. 2006, pp. 5432-5435.


141. Markovsky I., Boets J., Vanluyten B., De Cock K., De Moor B., "When is a pole spurious?", in Proc. of the International Conference on Noise and Vibration Engineering (ISMA 2007), Leuven, Belgium, Sep. 2007, pp. 1615-1626.


142. Gevaert O., Van Vooren S., De Moor B., "The use of prior distributions for learning genetic networks", in Proc. of the workshop on Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB), Helsinki, Finland, Jun. 2006, pp. 103-107.


143. Pelckmans K., Karsmakers P., Suykens J.A.K., De Moor B., "Ordinal Least Squares Support Vector Machines - a Discriminant Analysis Approach", in Proc. of the Machine Learning for Signal Processing (MLSP 2006), Maynooth, Ireland, Sep. 2006.


144. Vanluyten B., Willems J., De Moor B., "Matrix Factorization and Stochastic State Representations", in Proc. of the 45-th Conference on Decision an Control (CDC 2006), San Diego, California, Dec. 2006, pp. 4188-4193.


145. Markovsky I., Willems J. C., De Moor B., "The Module Structure of ARMAX Systems", in Proc. of the 45-th Conference on Decision an Control (CDC 2006), San Diego, California, Dec. 2006, pp. 811-816.


146. Op De Beeck K., Gu I.Y.H., Li L., Viberg M., De Moor B., "Region-based statistical background modeling for foregournd object segmentation", in IEEE International Conference on Image Processing (ICIP 2006), Atlanta, USA, Oct. 2006, pp. 3317-.


147. Gillijns S., De Moor B., "Data-based Subsystem Identification for Dynamic Model Updating", in Proc. of the 45th IEEE Conference on Decision and Control (CDC2006), San Diego, USA, Dec. 2006, pp. 3303-3308.


148. Smets I., Cappuyns A., Bernaerts K., van Boxel N., Sonck K., De Keersmaecker S., Monsieurs P., Van den Bulcke T., Marchal K., Mathys J., De Moor B., Vanderleyden J., Van Impe J., "Identifying new drug targets to combat pathogenic infections: An interdisciplinary approach", in Proc. of the 16th IFAC World Congress, Prague, Czech Republic, 2005, pp. ID-03952.


149. De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., "Prediction Intervals for NAR Model Structures Using a Bootstrap Method", in Proc. of the 2005 International Symposium on Nonlinear Theory and its Applications (NOLTA 2005), Brugge, Belgium, Sep. 2005, 6 p.


150. De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., "generalized likelihood ratio statistics based on bootstrap techniques for autoregression models", in Proc. of the 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, Mar. 2006, 6 p.


151. De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., "Nonparametric Comparison of Signals Based on Statistical Bootstrap Techniques", in Proc. of the European Conference on the Use of Modern Information and Communication Technologies (ECUMICT), Gent, Belgium, Mar. 2006, pp. .


152. De Cock K., Merc鳥 G., De Moor B., "Recursive subspace identification for in-flight modal analysis of airplanes", in Proc. of the International Conference on Noise and Vibration Engineering (ISMA 2006), Leuven, Belgium, Sep. 2006.


153. Markovsky I., Willems J. C., De Moor B., "Comparison of identification algorithms on the database for system identification DAISY", in Proc. of the 17th International Symposium on Mathematical Theory of Networks and Systems (MTNS'06), Kyoto, Japan, Jul. 2006, pp. 2858-2869.


154. Pelckmans K., Suykens J.A.K., De Moor B., "Clustering and Staircases", in NIPS 2005 workshop on Theoretical Foundations on Clustering, 2 p.


155. Hostens E., Dehaene J., De Moor B., "Hashing protocol for multipartite entanglement distillation", in Proc. of MTNS 2006, Kyoto, Japan, Jul. 2006, pp. 188_1-188_13.


156. Palanthandalam-Madapusi H., Gillijns S., De Moor B., Bernstein D.S., "Subsystem Identification for Nonlinear Model Updating", in Proc. of the of the 2006 American Control Conference (ACC2006), Minneapolis, USA, Jun. 2006, pp. 3056-3061.


157. Pluymers B., Kothare M.V., Suykens J.A.K., De Moor B., "Robust Constrained Linear State Feedback Synthesis using LMI's and Polyhedral Invariant Sets", in Proc. of the American Control Conference 2006 (ACC'06), Minneapolis, USA, Jun. 2006, pp. CD-ROM.


158. Gevaert O., De Smet F., Timmerman D., Moreau Y. and De Moor B., "Integration of clinical and microarray data using Bayesian networks", in Proc. of the 14th IFAC Symposium on System Identification (SYSID), Newcastle, Australia, Mar. 2006, pp. 1-6.


159. Willems J.C., Markovsky I., De Moor B., "State construction in subspace identification", in Proc. of the14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, Mar. 2006, pp. 303--308.


160. Espinoza M., Suykens J.A.K., De Moor B., "LS-SVM Regression with Autocorrelated Errors", in Proc. of the 14th IFAC Symposium on System Identification (SYSID), Newcastle, Australia, Mar. 2006, pp. 582-587.


161. Van Herpe T., Espinoza M., Pluymers B., Wouters P., De Smet F., Van den Berghe G., De Moor B., "Development of a critically ill patient input-output model", in Proc. of the 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, Mar. 2006, pp. 481-486.


162. Markovsky I., Willems J. C., De Moor B., "Recursive computation of the most powerful unfalsified model", in Proc. of the 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, Mar. 2006, pp. 588-593.


163. De Smet F., Vergote I., De Brabanter J., Konstantinovic M.L., Van den Bosch T., Moerman P., De Moor B., Amant F., Timmerman D., "New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography", in International Journal of Gynecological Cancer (14th International meeting of the ESGO) (ESGO 14), Istanbul, Turkey, Sep. 2005, 2 p.


164. Pochet N.L.M.M., Janssens F.A.L., De Smet F., Marchal K., Vergote I.B., Suykens J.A.K., De Moor B.L.R., "M@CBETH: optimizing clinical microarray classification", in Proc. of the 2005 IEEE Computational Systems Bioinformatics Conference (CSB2005), Stanford, California (US), Aug. 2005, pp. 89-90.


165. Espinoza M., Suykens J.A.K., De Moor B., "Short Term Chaotic Time Series Prediction using Symmetric LS-SVM Regression", in Proc. of the 2005 International Symposium on Nonlinear Theory and Applications (NOLTA), Bruges, Belgium, Oct. 2005, pp. 606-609.


166. Markovsky I., Willems J. C., De Moor B., "Software for deterministic linear system identification", in Proc. of the 17th Symposium on Mathematical Theory of Networks and Systems (MTNS'06), Kyoto, Japan, Jul. 2006, pp. 1475-1489.


167. Pelckmans K., De Brabanter J. Suykens J.A.K., De Moor B., "Convex Clustering Shrinkage", in Workshop on Statistics and Optimization of Clustering Workshop (PASCAL), London, U.K., Jul. 2005, pp. .


168. Janssens F., Glenisson P., Glanzel W., De Moor B., "Co-clustering approaches to integrate lexical and bibliographical information", in Proc. of the 10th International Conference of the International Society for Scientometrics and Informetrics (ISSI), Stockholm, Sweden, Jul. 2005, pp. 284-289.


169. Pelckmans K., Suykens J.A.K., De Moor B., "Componentwise Support Vector Machines for Structure Detection", in Proc. of the International Conference on Artificial Neural Networks (ICANN 2005), Warsaw, Poland, Sep. 2005, pp. .


170. Boets J., De Cock K., De Moor B., "Distances between dynamical models for clustering time series", in Proc. of the 14th IFAC Symposium on System Identification (SYSID-2006), Newcastle, Australia, Mar. 2006, pp. 392-397.


171. Gillijns S., Barrero Mendoza O., Chandrasekar J., De Moor B., Bernstein D.S., Ridley A., "What Is the Ensemble Kalman Filter and How Well Does it Work?", in Proc. of the 2006 American Control Conference (ACC2006), Minneapolis, USA, Jun. 2006, pp. 4448--4453.


172. Gillijns S., Bernstein D.S., De Moor B., "The Reduced Rank Transform Square Root Filter for Data Assimilation", in Proc. of the 14th IFAC Symposium on System Identification (SYSID2006), Newcastle, Australia, Apr. 2006.


173. Timmerman D., De Smet F., De Brabanter J., Moerman P., De Moor B., Moreau Y., Van Huffel S., Vergote I., "News on ultrasonographic techniques for pelvic malignancies", in Int J Gynecol Cancer 2003, 13 (Suppl. 1), ME04 (13th International meeting of the ESGO), Brussels, Belgium, Apr. 2003, pp. 120-121.


174. Timmerman D., De Smet F., De Brabanter J., ThijsI., Moreau Y., De Moor B., Vergote I., "PRE-OPERATIVE PREDICTION OF DEPTH OF MYOMETRIAL INVASION IN PATIENTS WITH ENDOMETRIAL CANCER: EVALUATION OF ULTRASOUND PARAMETERS AND DEVELOPMENT OF A NEW LOGISTIC REGRESSION MODEL", in Int J Gynecol Cancer,13 (Suppl 1), OP064 ( 13th International Meeting of the ESGO), Brussels, Belgium, Apr. 2003, pp. 26.


175. Pelckmans K., Goethals I., Suykens J.A.K., De Moor B., "On model complexity control in identification of Hammerstein Systems", in Proc. of the 44th IEEE conference on Decision and Control, and the European Control Conference (CDC-ECC 2005), (CDC-ECC 2005), Sevilla, Spain, Dec. 2005, pp. .


176. Goethals I., Pelckmans K., Hoegaerts L., Suykens J.A.K., De Moor B., "Subspace intersection identification of Hammerstein-Wiener systems", in Proc. of the 44th IEEE conference on Decision and Control, and the European Control Conference (CDC-ECC 2005), Seville, Spain, Dec. 2005, pp. 7108-7113.


177. Espinoza M., Suykens J.A.K., De Moor B., "Imposing Symmetry in Least Squares Support Vector Machines Regression", in Proc. of the 44th IEEE Conference on Decision and Control (CDC), Seville, Spain, Dec. 2005, pp. 5716 - 5721.


178. Vanluyten B., Willems J.C., De Moor B., "Model Reduction of Systems with Symmetries", in Proc. of the 44th IEEE Conference on Decision and Control (CDC), Seville, Spain, Dec. 2005, pp. 826-831.


179. Markovsky I., Willems J. C., De Moor B., "State representations from finite time series", in Proc. of the Conference on Decision and Control 2005 (CDC-ECC'05), Seville, Spain, Dec. 2005, pp. 832-835.


180. Espinoza M., Suykens J.A.K., De Moor B., "Load Forecasting using Fixed-Size Least Squares Support Vector Machines", in Computational Intelligence and Bioinspired Systems, (Cabestany J., Prieto A., and Sandoval F., eds.), Proceedings of the 8th International Work-Conference on Artificial Neural Networks, vol. 3512 of Lecture Notes in Computer Science, Springer-Verlag, 2005, pp. 1018-1026.


181. Espinoza M., De Moor B., Joye C., Belmans R., "Local Load Analysis with Periodic Time Series and Temperature Adjustment", in Proc. of the 15th Power Systems Computation Conference (PSCC), Liege, Belgium, Aug. 2005.


182. van den Berg M., Bellemans T., De Schutter B., De Moor B., Hellendoorn J., "Anticipative Ramp Metering Control Using Dynamic Traffic Assignment", in Proc. of the 2004 IEEE Intelligent Transportation Systems Conference, Washington DC, USA, Oct. 2004, pp. 503-508.


183. Rossiter J.A., Ding Y., Pluymers B., Suykens J.A.K., De Moor B., "Interpolation Based MPC with Exact Constraint Handling : the Uncertain Case", in Proc. of the Joint IEEE Conference on Decision and Control and European Control Conference (CDC-ECC05), Sevilla, Spain, Dec. 2005, pp. 302-307.


184. Markovsky I., Willems J. C., Van Huffel C., De Moor B., "Software for approximate linear system identification", in Proc. of the Conference on Decision and Control 2005 (CDC-ECC'05), Seville, Spain, Dec. 2005, pp. 1559-1564.


185. Van den Nest M., Dehaene J., De Moor B., "Local equivalence of stabilizer states", in Proc. of the MTNS 2004 conference (MTNS), Leuven, Belgium, Jul. 2004, 16 p.


186. Van Herpe T., Goethals I., Pluymers B., De Smet F., Wouters P., Van den Berghe G., De Moor B., "Challenges in data-based patient modeling for glycemia control in ICU-patients", in Proc. of the Third IASTED International Conference on Biomedical Engineering (IASTED - Biomed), Innsbruck, Austria, Feb. 2005, pp. 685-690.


187. Coen T., Jans N., Van de Ponseele P., Goethals I., De Baerdemaeker J., De Moor B., "Engine sound comfortability: relevant sound quality parameters and classification", in Proc. of the IFAC world congress (IFAC2005), Prague, Czechia, July 2005, 6 p.


188. Coen T., Jans N., Van de Ponseele P., Goethals I., De Baerdemaeker J., De Moor B., "Modelling the relationship between human perception and sound quality parameters using LS-SVMs.", in Proc. of the International Conference on Modal Analysis Noise and Vibration Engineering (ISMA 2004), Leuven, Belgium, Sep. 2004, pp. 3749-3763.


189. Barrero Mendoza O., Bernstein D. S., and De Moor B., "Spatially Localized Kalman Filtering for Data Assimilation", in Proc. of the 2005 American Control Conference (ACC 2005), Portland, USA, Jun. 2005, pp. 3468-3473.


190. Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., "Interpolation Based MPC for LPV Systems using Polyhedral Invariant Sets", in Proc. of the American Control Conference 2005 (ACC2005), Portland, USA, Jun. 2005, pp. 810-815.


191. Rossiter J.A., Pluymers B., Suykens J.A.K., De Moor B., "A Multi Parametric Quadratic Programming Solution To Robust Predictive Control", in Proc. of the IFAC World Congress (IFAC05), Prague, Czech Republic, Jul. 2005.


192. Vertommen J., Janssens F., De Moor B., Duflou J., "Advanced Personalization and Document Retrieval Techniques in Support of Efficient Knowledge Management", in Proc. of the 2nd International Seminar on Digital Enterprise Technology (DET), Seattle, Washington, Sep. 2004.


193. De Bie T., Monsieurs P., Engelen K., De Moor B., Cristianini N., Marchal K., "Discovering transcriptional modules from Motif, Chip-chip and microarray data", in Proceedings of the Pacific Symposium on Biocomputing (PSB 2005), Hawaii, Jan. 2005, pp. 483-494.


194. Pluymers B., Rossiter J.A., Suykens J.A.K, De Moor B., "A Simple Algorithm for Robust MPC", in Proc. of the IFAC World Congress (IFAC05), Prague, Czech Republic, Jul. 2005, pp. CD-ROM.


195. Pluymers B., Rossiter J.A., Suykens J.A.K., De Moor B., "The Efficient Computation of Polyhedral Invariant Sets for Linear Systems with Polytopic Uncertainty", in Proc. of the American Control Conference 2005 (ACC2005), Portland, USA, Jun. 2005, pp. 804-809.


196. Maerivoet S., Logghe S., De Moor B., Immers B., "A comparison of a cellular automaton and a macroscopic model", in Traffic and Granular Flow '03, (Hoogendoorn S.P., Luding S., Bovy P.H.L., Schreckenberg M., and Wolf D.E., eds.), Proceedings of the workshop on TGF03, Springer-Verlag, 2005, pp. 199-204.


197. Goethals I., Vanluyten B., De Moor B., "Reliable spurious mode rejection using self learning algorithms", in Proc. of the International Conference on Modal Analysis Noise and Vibration Engineering (ISMA 2004), Leuven, Belgium, Sep. 2004, pp. 991-1003.


198. Pelckmans K., De Brabanter J., Suykens J.A.K, De Moor B., "Maximal Variation and Missing Values for Componentwise Support Vector Machines", in Proc. of the International Joint Conference on Neural Networks (IJCNN 2005), Montreal, Canada, Aug. 2005, pp. .


199. Verdult V., Suykens J.A.K., Boets J., Goethals I., De Moor B., "Least Squares Support Vector Machines for Kernel CCA in Nonlinear State-Space Identification", in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004.


200. Dehaene J., De Moor B., "Stabilizer states, conditional Clifford operations, and their possible role in quantum computation", in Proc. of MTNS 2004, Leuven, Belgium, Jul. 2004, pp. 127_1-127_13.


201. Pelckmans K., Suykens J.A.K., De Moor B., "Alpha and beta stability for additively regularized LS-SVMs via convex optimization", in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Leuven, Belgium, Jul. 2004.


202. Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., "A comparison of pruning algorithms for sparse least squares support vector machines", in Proceedings of the 11th International Conference on Neural Information Processing (ICONIP 2004), Calcutta, India, vol. 3316, Nov. 2004, pp. 1247-1253.


203. Pelckmans K., Suykens J.A.K., De Moor B., "Morozov, Ivanov and Tikhonov regularization based LS-SVMs", in Proc. of the11th International Conference on Neural Information Processing (ICONIP 2004), Calcutta, India, Nov. 2004, pp. .


204. Barrero O., Bernstein D. S., and De Moor B., "Data Assimilation for 2D Magneto-Hydrodynamics Systems", in Eleventh International Congress on Computational and Applied Mathematics, ICCAM 2004, Leuven, Jul. 2004, pp. 1-23.


205. Goethals I., Mevel I., Benveniste A., De Moor B., "Recursive output-only subspace identification for in-flight flutter monitoring", in Proc. of the 22nd International Modal Analysis Conference (IMAC-XXII), Dearborn, Michigan, Jan. 2004.


206. Vertommen J., Vandermeulen B., Duflou J., Van Dromme D., De Moor B., "Testing methods and algorithms for the next generation of knowledge management systems", in Proc. of the Future Business Technology Conference 2004 (FUBUTEC 2004), Fontainebleau, France, Mar. 2004.


207. Chandrasekar J., Barrero O., Ridley A., Bernstein D.S., De Moor B., "State estimation for linearized MHD flow", in Proc. of the IEEE 2004 Conference on Decision and Control (CDC 2004), Atlantis - Paradise Island, Bahamas, Dec. 2004, pp. 2584 - 2589.


208. Palanthandalam-Madapusi H.J., Gillijns S., Ridley A.J., Bernstein D.S., De Moor B., "Electric Potential Estimation with Line-of-Sight Measurements Using Basis Function Optimization", in Proc. of the 43rd IEEE Conference on Decision and Control (CDC), Paradise Island, The Bahamas, Dec. 2004, pp. 3625-3630.


209. Espinoza M., Suykens J.A.K., De Moor B., "Partially Linear Models and Least Squares Support Vector Machines", in Proc. of the 43rd IEEE Conference on Decision and Control (CDC), Paradise City, Bahamas, Dec. 2004.


210. Pluymers B., Suykens J.A.K., De Moor B., "Robust finite-horizon MPC using optimal worst-case closed-loop predictions", in Proc. of the IEEE Conference on Decision and Control 2004 (CDC04), Paradise Island, Bahamas, Dec. 2004.


211. Willems J.C., Markovsky I., Rapisarda P., De Moor B., "A note on persistency of excitation", in Proc. of the 43rd IEEE Conference on Decision and Control (CDC04), Atlantis, Bahamas, Dec. 2004, pp. 2630-2631.


212. Markovsky I., Willems J.C., Rapisarda P., De Moor B., "Computation of LTI system responses directly from input/output data", in Proc. of the 16th IFAC World Congress (IFAC'05), Prague, Czech Republic, Jul. 2005, pp. CD-ROM.


213. Markovsky I., Willems J.C., Van Huffel S., De Moor B., Pintelon R., "Application of structured total least squares for system identification", in Proc. of the 43rd IEEE Conference on Decision and Control (CDC), Atlantis, Bahamas, Dec. 2004, pp. 3382-3387.


214. Bellemans T., De Schutter B., De Moor B., "Anticipative ramp metering control for freeway traffic networks", in Proc. of the International Symposium on Mathematical Theory of Networks and Systems (MTNS), Leuven, Belgium, Jul. 2004, 12 p.


215. Goethals I., Pelckmans K., Suykens J.A.K., De Moor B., "NARX identification of Hammerstein Models using least squares support vector machines", in Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2004), Stuttgart, Germany, Sep. 2004, pp. 507-512.


216. Pelckmans K., Suykens J.A.K., De Moor B., "Regularization constants in LS-SVMs : a fast estimate via convex optimization", in Proc. of the International Joint Conference on Neural Networks (IJCNN2004), Budapest, Hungary, Jul. 2004, pp. 699-704.


217. Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., "Primal space sparse kernel partial least squares regression for large scale problems", in Proc. of the International Joint Conference on Neural Networks (IJCNN 2004), Hungary, Budapest, Jul. 2004, pp. 561-566.


218. Pluymers B., Suykens J.A.K., De Moor B., "Linear MPC with Time-Varying terminal cost using sparse convex combinations and bisection searching", in Proc. of the IEEE Conference on Decision and Control 2004 (CDC04), Paradise Island, Bahamas, Dec. 2004.


219. Espinoza M., Pelckmans K., Hoegaerts L., Suykens J.A.K., De Moor B., "A comparative study of LS-SVMs applied to the Silver box identification problem", in Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2004), Stuttgart, Germany, Sep. 2004.


220. Pelckmans K., Suykens J.A.K., De Moor B., "Sparse LS-SVMs using additive Regularization with a penalized validation criterion", in Proc. of the 12e European Symposium on Artificial Neural Networks, Brugge, Belgium, Apr. 2004, pp. 435-440.


221. Barrero O., De Moor B., "A Singular Square Root Filter Algorithm (SQR) for Large Scale Data Assimilation", in Proc. of the 15th IASTED International Conference on Modelling and Simulation (MS 2004), Marina del Rey, USA, Mar. 2004, pp. 418 - 422.


222. Hermans K., Vandermeulen B., Duflou J., De Moor B., "User profile integration in knowledge managment systems", in International Conference on competitive Manufacturing, (COMA'04), 2004, pp. 241-246.


223. De Bie T., Suykens J.A.K., De Moor B., "Learning from general label constraints", in Proc. of the joint IAPR international workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (SSSPR 2004), Lisbon, Portugal,, vol. 3138, Aug. 2004, pp. 671-679.


224. Glenisson P., Coessens B., Van Vooren S., Moreau Y., De Moor B., "Text-based gene profiling with domain-specific views", in Proc. of the First International Workshop on Semantic Web and Databases (SWDB 2003), Berlin, Germany, Sep. 2003, pp. 15-31.


225. Maerivoet S., De Moor B., "Development of an improved traffic cellular automaton model for traffic flows on a highway road network", in Proceedings of the 10th World Congress and Exhibition of Intelligent Transport Systems and Services (ITSS03), Madrid,Spain, Nov. 2003, 16 p.


226. Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., "Variogram based noise variance estimation and its use in Kernel Based Regression", in Proc. of the IEEE Workshop on Neural Networks for Signal Processing, pp. 199-208.


227. Barrero O., De Moor B., "Nonparametric Regularized Time Delay Estimation", in Proc. of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), Montreal, Canada, May 2004, pp. 541-544.


228. Nackaerts A., Schiettecatte B., De Moor B., "Non-linear guitar body models", in Proc. of the International Computer Music Conference (ICMC 2003), Singaport, Oct. 2003, 4 p.


229. Espinoza M., Suykens J.A.K., De Moor B., "Least Squares Support Vector Machines and Primal Space Estimation", in Proc. of the IEEE 42nd Conference on Decision and Control (CD-ROM), Maui, USA, Dec. 2003, pp. 3451-3456.


230. Scionti M., Lanslots J., Goethals I., Vecchio A., Van der Auweraer H., Peeters B., De Moor B., "Tools to improve detection of structural changes from in-flight flutter data", in Proc. of the Eigth International Conference on Recent Advances in Structural Dynamics (ISVR), Southampton, UK, Jul. 2003, 12 p.


231. Hamers B., Suykens J.A.K., Leemans V., De Moor B., "Ensemble Learning of Coupled Parmeterised Kernel Models", in Supplementary Proc. of the International Conference on Artificial Neural Networks and International Conference on Neural Information Processing (ICANN/ICONIP), Istanbul, Turkey, Jun. 2003, pp. 130-133.


232. Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., "Kernel PLS variants for regression", in Proc. of the 11th European Symposium on Artificial Neural Networks, Bruges, Belgium, Apr. 2003, pp. 203-208.


233. Tiagounov A.A., Buijs J., Weiland S., De Moor B., "Long horizon model predictive control for nonlinear industrial processes", in Proc. of the European Control Conference (ECC'03), Cambridge, UK, Sep. 2003, pp. 8 pg on CD-ROM.


234. De Moor B., "On the number of rows and colums in subspace identification methods", in Proc. of the 13th IFAC Symposium on System Identification (SYSID 2003), Rotterdam, The Netherlands, Aug. 2003, pp. 1796-1801.


235. Goethals I., De Moor B., "Subspace identification combined with new mode selection techniques for modal analysis of an airplane", in Proc. of the 13th IFAC symposium on system identification (SYSID 2003), Rotterdam, the Nederlands, Sep. 2003, pp. 695-700.


236. Goethals I., Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., "Identifying positive real models in subspace identification by using regularization", in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 1411-1416.


237. Pluymers B., Roobrouck L., Buijs J., Suykens J.A.K., De Moor B., "An LMI-based constrained MPC scheme with time-varying terminal cost", in Proc. of the International Symposium on Advanced Control of Chemical Processes 2003 (ADCHEM03), Hong Kong, China, Jan. 2004, pp. CD-ROM.


238. De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., Vandewalle J., "Robust complexity criteria for nonlinear regression in NARX models", in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 79-84.


239. Hoegaerts L., Suykens J.A.K., Vandewalle J., De Moor B., "Subspace regression in reproducing kernel Hilbert space", in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 839-842.


240. De Lathauwer L., De Moor B., Vandewalle J., Cardoso J.-F, "Independent component analysis of largely underdetermined mixtures", in Proc. of the Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, Apr. 2003, pp. 29-34.


241. Markovsky I., De Moor B., "Linear dynamic filtering with noisy input and output", in Proc. of the 13th IFAC Symposium on System Identification (SYSID-2003), Rotterdam, The Netherlands, Aug. 2003, pp. 1749-1754.


242. Van Gestel T., Espinoza M., Suykens J.A.K., De Moor B., "Bayesian input selection for nonlinear regression with LS-SVMs", in Proc. of the 13th System Identification Symposium (SYSID2003), Rotterdam, Nederland, Aug. 2003, pp. 578-583.


243. Nackaerts A., Lauwereins R., De Moor B., "Player modeling and control of a physical model of a string instrument", in Proc. of the 1st IEEE Benelux Workshop on Model Based Processing and Coding of Audio (MPCA-2002), Leuven, Belgium, Nov. 2002, 4 p.


244. Glenisson P., Antal P., Mathys J., Moreau Y., De Moor B., "Evaluation of the vector space representation for text-based gene clustering", in Proc. of the Eighth Annual Pacific Symposium on Biocomputing 8 (PSB 2003), pp. 240-251.


245. Van Gestel T., Baesens B., Suykens J.A.K., Espinoza M., Baestaens D., Vanthienen J., De Moor B., "Bankruptcy Prediction with Least Squares Support Vector Machine Classifiers", in Proc. of the International Conference on Computational Intelligence for Financial Engineering (CIFER'03), Hong Kong, China, Mar. 2003, pp. 1-8.


246. De Cock K., Peeters B., Vecchio A., Van der Auweraer H., De Moor B., "Subspace system identification for mechanical engineering", in Proceedings of the International Conference on Noise & Vibration Engineering, Leuven, Sep 16-18, 2002, 20 p.


247. Moreau Y., Thijs G., Marchal K., De Smet F., Mathys J., Lescot M., Rombauts M., Rouzé P., De Moor B., "Integrating quality-based clustering of microarray data with Gibbs smapling for the discovery of regulatory motifs", in Journées Ouvertes Biologie Informatique Mathématiques (JOBIM), St. Malo, France, Jun. 2002, pp. 75-79.


248. Goethals I., De Moor B., "Model reduction and energy analysis as a tool to detect spurious modes", in Proc. of the International Conference on Noise and Vibration Engineering, (ISMA), Leuven, Belgium, Jun. 2002, 8 p.


249. De Cock K., De Moor B., "Subspace angles for fault detection", in Proceedings of the International Conference on Noise and Vibration Engineering (ISMA 2002), Leuven, Sep 16-18, 2002, 8 p.


250. De Bie T., De Moor B., "On the regularization of canonical correlation analysis", in Proc. of the Fourth International Symposium on Indepedent Component Analysis and Blind Source Separation (ICA 2002), Nara, Japan, Apr. 2002.


251. De Cock K., De Moor B., "Canonical Correlations between input and output processes of linear stochastic models", in Proceedings of the Fifteenth International Symposium on the Mathematical Theory of Networks and Systems, (MTNS 2002), University of Notre Dame, Aug 12-16, 2002, 15 p.


252. De Bie T., De Moor B., "On two classes of alternatives to canonical correlation analysis, using mutual information and oblique projections", in Proc. of the 23rd symposium on information theory in the Benelux (ITB), Louvian-la-Neuve, Belgium, May 2002.


253. De Cock K., De Moor B., "A conjecture on Lyapunov equations and principal angles in subspace identification", in 2002 MTNS Problem Book, open problems on the mathematical Theory of Systems, Aug. 2002, pp. 64-68.


254. Antal P., De Moor B., Timmerman D., Meszaros T., Dobrowiecki T., "Domain knowledge based information retrieval language : an application of annotated bayesian networks in ovarian cancer", in Proc. of Fifteenth IEEE Symposium on Computer-Based Medical Systems (CBMS2002), Marobor, Slovenia, Jun. 2002, pp. 213-218.


255. Aerts S., Antal P., Timmerman D., De Moor B., Moreau Y., "Web-based data collection for uterine adnexal tumors : a case study", in Proc. of the 15th IEEE Symposium on Computer Based Medical Systems (CBMS), Maribor, Slovenia, Jun. 2002, pp. 282-287.


256. Muresan E., Geerits J., De Moor B., "Soccer : from match taping to analysis", in Proceedings of the 6th Australian Conference on Mathematics and Computers in Sport (6M&CS), Gold Coast, Australia, Jul. 2002, pp. 10188-195.


257. Muresan E., Geerits J., De Moor B., "Video Analysis in sports : VideoCoach", in Proceedings of the 6th Australian Conference on Mathematics and Computers in Sport (6M&CS), Gold Coast, Australia, Jul. 2002, pp. 196-201.


258. Antal P., Glenisson P., Fannes G., Mathys J., De Moor B., Moreau Y., "On the potential of domain literature for clustering and Bayesian network learning", in Proceedings of the 8th ACM-SIGKDD Int. Conf. on Knowledge Discovery and Datamining, (ACM-SIGKDD), Edmonton, Canada, Jul. 2002, pp. 405-414.


259. Nackaerts A., De Moor B., Lauwereins R., "Measurement of guitar string coupling", in Proceedings of the International Computer Music Conference (ICMC2002), Goteborg, Sweden, Sep. 2003.


260. Hamers B., Suykens J.A.K., De Moor B., "Compactly supported RBF kernels for sparsifying the Gram matrix in LS-SVM regression models", in Proceedings ICANN 2002, Madrid, Spain, Aug. 2002, pp. 720-726.


261. Markovsky I., Willems J.C., De Moor B., "Continuous-time Errors-in-variables Filtering", in Proc. of the Conference on Decision and Control (CDC 2002), Las Vegas, Dec. 2002, pp. 2576-2581.


262. Markovsky I., Van Huffel S., De Moor B., "Multi-Model System Parameter Estimation", in Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (SMC02), Hammamet, Tunisia, Oct. 2002, pp. CD-ROM.


263. Bellemans T., De Schutter B., De Moor B., "Model predictive control with repeated model fitting for ramp metering", in Proc. of the IEEE 5th International Conference on Intelligent Transportation Systems (ITCS2002), Singapore, Sep. 2002, pp. 236-241 (CDROM).


264. Buijs J., Van Brempt W., Ludlage J., De Moor B., "Quadratic Programming in Model Predictive Control for Large Scale Systems", in 15th IFAC World Congress on Automatic Control, 6 p.


265. De Lathauwer L., De Moor B., "On the blind separation of a class of non-circular complex sources.", in Proc. XIth European Signal Processing Conference (EUSIPCO-2002), Toulouse, France, Sep. 2002, 4 p.


266. Van Gestel T., Suykens J.A.K., De Moor B., Vandewalle J., "Bayesian inference for LS-SVMs on large data sets using the Nystrom method", in Proc. of the World Congress on Computational Intelligence - International Joint Conference on Neural Networks (WCCI-IJCNN 2002), Honolulu, USA, May 2002, pp. 2779-2784.


267. De Lathauwer L., De Moor B., Vandewalle J., "An algebraic algorithm for ICA with more sources than sensors", in Mathematics in Signal Processing V, (McWhirter J., and Proudler I., eds.), Selected papers presented at 5th IMA int. Conf. on Mathematics in Signal Processing, Dec. 18-20, 2000, Univ. of Warwick, U.K., vol. V of Mathematics in Signal Processing, Clarendon Press (Oxford, UK), 2002, pp. 37-46.


268. Antal P., Fannes G., De Moor B., Vandewalle J., Moreau Y., Timmerman D., "Extended Bayesian regression models : a symbiotic application of belief networks and multilayer perceptrons for the classification of ovarian tumors", in Proc. of the Eigth European Conference on Artificial Intelligence in Medicine (AIME'01), Cascais, Portugal, Jul. 2001, pp. 177-187.


269. Antal P., Fannes G., De Smet F., De Moor B., "Ovarian cancer classification with rejection by Bayesian Belief Networks", in Proc. of the Bayesian Models in Medicine workshop, the European Conference on Artificial Intelligence in Medicine (AIME'01), Cascais, Portugal, Jul. 2001, pp. 23-27.


270. Antal P., Meszaros T., De Moor B., Dobrowiecki T., "Annotated Bayesian Networks : A tool to integrate textual and probabilistic medical knowledge", in Proc. of the Fourteenth IEEE Symposium on Computer-Based Medical Ssytems (CBMS 2001), Bethesda, MD, Jul. 2001, pp. 177-182.


271. Schouwenaars T., De Moor B., Feron E., How J., "Mixed integer programming for multi-vehicle path planning", in Proc. of the European Control Conference (ECC 2001), Porto, Portugal, Sep. 2001, pp. CD-ROM.


272. Markovsky I., Van Huffel S., De Moor B., "$H_2$-Optimal linear parametric design", in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004, pp. CD-ROM.


273. Nackaerts A., De Moor B., Lauwereins R., "Coupled string guitar models", in Proc. of Acoustics and Music : Theory and Applications (AMTA 2001), Skiathos, Greece, Sep. 2001.


274. Van Gestel T., Suykens J.A.K., Lanckriet G., Lambrechts A., Baestaens D., De Moor B., Vandewalle J., "Bayesian interpretation of least squares support vector machines for financial time series prediction", in Proc. of the 5th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2001), Orlando, Florida, Jul. 2001, pp. 254-259.


275. Van Gestel T., Suykens J.A.K., De Brabanter J., De Moor B., Vandewalle J., "Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines", in Proc. of the International Conference on Artificial Neural Networks (ICANN 2001), Vienna, Austria, Aug. 2001, pp. 381-386.


276. Nackaerts A., De Moor B., Lauwereins R., "Parameter estimation for dual-polarization plucked string models", in Proc. of the International Computer Music Conference (ICMC 2001), Havana, Cuba, Sep. 2001.


277. Van Gestel T., Suykens J.A.K., De Brabanter J., De Moor B., Vandewalle J., "Least squares support vector machine regression for discriminant analysis", in Proc. of the International Joint Conference on Neural Networks (IJCNN'01), Washington DC, USA, Jul. 2001, pp. 2445-2450.


278. Van Gestel T., Suykens J.A.K., De Moor B. Vandewalle J., "Automatic relevance determination for Least squares support vector machine regression", in Proc. of the International Joint Conference on neural networks (IJCNN'01), Washington DC, USA, Jul. 2001, pp. 2416-2421.


279. Nackaerts A., De Moor B., Lauwereins R., "Note transitions in Physical Models of a Wind Instrument", in Mathematics and Computers in Modern Science, (Mastorakis N., ed.), Acoustics and Music Biology and Chemistry, Business and Economics, World Scientific and Engineering Society Press (New York, USA), 2000, pp. 59-63.


280. Antal P., Verrelst H., Van Huffel S., De Moor B., Timmerman D., Vergote I., "How might we combine the information we know about a mass better ? The use of mathematical models to handle medical data", in Proc. of the 1st Montecarlo Conference on updates in Gynaecology (MCG), Monaco, Mar. 2000, pp. 1-3.


281. Buijs J., Suykens J.A.K., De Moor B., "Model Predictive Control : Convex Optimization Approaches Versus Constrained Dynamic Backpropagation", in Proc. of the IFAC Conference on New Technologies for Computer Control (IFAC-NTCC2001), Hong Kong, Hong Kong, Nov. 2001, 8 p.


282. Van Gestel T., Suykens J.A.K., De Moor B., Vandewalle J., "Automatic relevance determination for least squares support vector machine classifiers", in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2001), Bruges, Belgium, Apr. 2001, pp. 13-18.


283. Thijs G., Marchal K., Lescot M., Rombauts S., De Moor B., Rouzé P., Moreau Y., "A Gibbs sampling method to detect over-represented motifs in the upstream regions of co-expressed genes", in Proc. of the 5th Annual International Conference on Computational Biology (RECOMB'2001), Montreal, Canada, Apr. 2001, pp. 305-312.


284. Van Gestel T., De Moor B., Anderson B., Van Overschee P., "On frequency weighted balanced truncation : a constructive counterexample to Enns' Conjecture", in Proc. of the European Control Conference (ECC 2001), Porto, Portugal, Sep. 2001, pp. 2493-2498.


285. De Lathauwer L., De Moor B., Vandewalle J., "An Algebraic Approach to the Blind Identification of Paraunitary Filters", in CD-ROM Proc. of the IEEE Wireless Communications and Networking Conference 2000 (WCNC 2000), Chicago, USA, Sep. 2000, 4 p.


286. Chen B., Petropulu A., De Lathauwer L., De Moor B., "Blind MIMO System Identification Based on Cross-Polyspectra", in Proc. of the Xth European Signal Processing Conference (EUSIPCO 2000), Tampere, Finland, Sept., 2000, pp. CD-ROM.


287. Antal P., Verrelst H., Timmerman D., Moreau Y., Van Huffel S., De Moor B., Vergote I., "Bayesian Networks in Ovarian Cancer Diagnosis : Potentials and Limitations", in Proc. of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS 2000), Houston, US, Jun. 2000, pp. 103-108.


288. Nackaerts A., De Moor B., Lauwereins R., "Note transitions in Physical Models of a Wind Instrument", in Proc. of Acoustics and Music : Theory and Applications 2000 (AMTA 2000), Montego Bay, Jamaica, Dec. 2000, pp. 381-385.


289. Baesens B., Viaene S., Van Gestel T., Suykens J.A.K., Dedene G., De Moor B., Vanthienen J., "An Empirical assessment of Kernel Type Performance for Least Squares Support Vector Machine Classifiers", in Proc. of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES2000), Brighton, UK, Aug. 2000, 4 p.


290. Antal P., Fannes G., Verrelst H., De Moor B., Vandewalle J., "Incorporation of Prior Knowledge in Black-box Models : Comparison of Transformation Methods from Bayesian Network to Multilayer Perceptrons", in Proc. of the Workshop on Fusion of Domain Knowledge with Data for Decision Support, The Sixteenth Conference on Uncertainty in Artificial Intelligence, Stanford University, USA, Jun. 2000, pp. 7-12.


291. Nackaerts A., De Moor B., Lauwereins R., "Dynamic timbre matching for sound synthesis using time-varying parametric filters", in Proc. of the 43rd Midwest Symposium on Circuits and Systems (MWSCAS 2000), Lansing, Michigan, Aug. 2000.


292. Thijs G., Rombauts S., Lescot M., Marchal K., De Moor B., Moreau Y., Rouze P., "Detection of cis-acting regulatory elements in plants : a Gibbs sampling approach", in Proc. of Bioinformatics of Gene regularisation and structure (BGRS'2000), Novosibirsk, Russia, Aug. 2000, pp. 119-123.


293. Schouten T., Suykens J.A.K., De Moor B., "Multi resolution least squares SVM solver", in Proc. of the 43rd IEEE Midwest Symposium on Circuits and Systems (MWSCAS2000), Lansing, Michigan, Aug. 2000, cdrom p.


294. Bellemans T., De Schutter B., De Moor B., "An improved first-order macroscopic flow model for highway traffic simulation", in Proc. of 2001 American Control Conference (ACC2001), Washington DC, Viriginia, Jun. 2001, pp. 2105-2109.


295. Bellemans T., De Schutter B., De Moor B., "Data acquisition, interfacing and pre-processing of highway traffic data", in Proc. of Telematics Automotive 2000, Birmingham, UK, Apr. 2000, pp. 4/1-4/7.


296. Bellemans T., De Schutter B., De Moor B., "On data acquisition, modeling and simulation of highway traffic", in Proc. of the 9th IFAC Symposium on Control in Transportation Systems 2000, Braunschweig, Germany, Jun. 2000, pp. 22-27.


297. De Cock K., De Moor B., "Subspace angles and distances between ARMA models", in Proc. of the Fourteenth International Symposium of Mathematical Theory of Networks and Systems (MTNS2000), Perpignan, France, Jun. 2000, pp. 7 (CD-ROM).


298. Van Gestel T., Van Barel M., De Moor B., "An algebraic description of realizations of partial covariance sequences", in Proc. of the Mathematical Theory of Networks and Systems (MTNS2000), Perpignan, France, Jun. 2000.


299. De Lathauwer L., De Moor B., Vandewalle J., "An algebraic ICA algorithm for 3 sources and 2 sensors", in Proc. of the Xth European Signal Processing Conference (EUSIPCO 2000), Tampere, Finland, Sep. 2000, pp. CD-ROM.


300. Baesens B., Viaene S., Van Gestel T., Suykens J.A.K., Van den Poel D., Vanthienen J., De Moor B., Dedene G., "Knowledge discovery using least squares support vector machine classifiers : a direct marketing case", in Proc. PKDD2000, Fourth European Conference on Principles of Knowledge Discovery in Databases, Lyon, France, Lyon, France, Sep. 2000, pp. 657-664.


301. Van Gestel T., Suykens J.A.K., Van Dooren P., De Moor B., "Imposing stability in subspace identification by regularization", in Proc. of the 39th IEEE Conference on Decision and Control (CDC2000), Sydney, Australia, Dec. 2000, pp. 1555-1560.


302. De Lathauwer L., De Moor B., Vandewalle J., "An algebraic approach to blind MIMO identification", in Proc. of the 2nd Int. Workshop on independent component analysis and blind source separation (ICA 2000), Helsinki, Finland, Jun. 2000, pp. 211-214.


303. De Lathauwer L., De Moor B., Vandewalle J., "ICA techniques for more sources than sensors", in Proc. of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99), Caesarea, Israel, Jun. 1999, pp. 121-124.


304. De Lathauwer L., Comon P., De Moor B., Vandewalle J., "ICA algorithms for 3 sources and 2 sensors", in Proc. of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99), Caesarea, Israel, Jun. 1999, pp. 116-120.


305. Viaene S., Baesens B., Van Gestel T., Suykens J.A.K., Dedene D., De Moor B., Vanthienen J., "Least squares support vector machine classifiers : An empirical evaluation", in Proc. of the 12th Belgian-Dutch Artificial Intelligence Conference (BNAIC'00), Kaatsheuvel, The Netherlands, Nov. 2000, pp. 69-79.


306. De Lathauwer L., De Moor B., Vandewalle J., "SVD-based methodologies for fetal electrocardiogram extraction", in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2000), Istanbul, Turkey, Jun. 2000, pp. 3771-3774.


307. De Cock K., De Moor B., "Subspace angles between linear stochastic models", in Proc. of the 39th IEEE Conference on Decision and Control (CDC 2000), Sydney, Dec. 2000, pp. 1561-1566.


308. Duhoux M., Suykens J.A.K., Mignon J., Vandewalle J., De Moor B., "Improved long-term temperature prediction for a blast furnace using neural networks", in Proc. of the ICSC Symposia on Engineering of Intelligent Systems (EIS2000), Paisley, UK, Jun. 2000, pp. 40-48.


309. Van Brempt W., Backx T., Ludlage J., Van Overschee P., De Moor B., "A high performance model predictive controller : Application on a polythylene gase phase reactor", in Proc. of the International Symposium on Advanced Control of Chemical Processes (ADCHEM 2000), Pisa, Italy, Jun. 2000, pp. 515-520.


310. Van Gestel T., De Moor B., Van Overschee P., "On the Rank Deficiency of the Least Squares Residuals in Subspace Identification", in Proc. of the Symposium on System Identification (Sysid2000), Santa Barbara, California, Jun. 2000, pp. 247-252.


311. Cambre J., De Lathauwer L., De Moor B., "Best rank-(R,R,R) super-symmetric tensor approximation - a continuous-time approach", in Proc. IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99), Caesarea, Israel, Jun. 1999, pp. 242-246.


312. Verriest E.I., De Moor B., "Multi-mode system identification", in Proc. of the European Control Conference (ECC'99), New York, Aug.-Sep. 1999, F860 p.


313. Thijs G., Moreau Y., Rombauts G., De Moor B., Rouze P., "Recognition of gene regulatory sequences by bagging of neural networks", in \emph {Proc. of the ninth international conference on artificial neural networks (ICANN99)}, Edinburgh, Scotland, Sep. 1999, pp. 988-993.


314. Suykens J.A.K., Lukas L., Van Dooren P., De Moor B., Vandewalle J., "Least squares support vector machine classifiers : a large scale algorithm", in Proc. of the European Conference on Circuit Theory and Design (ECCTD'99), Stresa, Italy, Sep. 1999, pp. 839-842.


315. LiB. and De Moor B., "Information Measure based Stochastic System Identification of ATM Network Traffic", in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-99), Phoenix, USA, March 1999, nb. 1545 p.


316. De Schepper S., Van Overschee P., De Moor B., "Transfer function Optimization based on subspace identification models", in International Model Analysis Conference (IMAC), Kissimmee, Florida, Feb. 1999.


317. Cambre J., De Moor B., "Solving the structured total least squares problem using the Riemannian SVD", in Proc. of the Mathematical Theory of Networks and Systems (MTNS 98), Padova, Italy, Jul. 1998, pp. 715-718.


318. Favoreel W., Van Huffel S., De Moor B., Vasile S., Verhaegen M., "Comparative study between three different subspace identification algorithms", in Proc. of the European Control Conference 1999 (ECC-99), Karlsruhe, Germany, Aug. 1999.


319. Favoreel W., De Moor B., Gevers M., Van Overschee P., "Closed-loop model-free subspace-based LQG-design", in Proc. of the IEEE Mediterranean Conference on Control and Automation, Haifa, Israel, Jun. 1999, pp. TP5-4.


320. Van Overschee P., De Moor B., "Optimal PID control of a chemical batch reactor", in Proc. of the 3th International Conference Industrial Automation, Ecole de Technologie Supérieure, Montreal, Canada, Jun. 1999, pp. 21-24.


321. LiB., De Moor B., "Dynamic total least squares estimation of intersection origin-destination matrices", in Proc. of the European Control Conference (ECC'99), Aug.-Sep. 1999, F245 p.


322. de Vries R.E., De Schutter B., De Moor B., "Minimal realizations and state space transformations in the symmetrized max-algebra", in Proc. of the IFAC Conference on System Structure and Control (IFAC SSC'98), Nantes, France, Jul. 1998, pp. 587-592.


323. De Moor B., Lemmerling P., "A new trade-off in linear system identification : misfit versus latency", in Proc. of the MTNS98 (MTNS 98), Padova, Italy, June 1998, pp. 747-750.


324. LiB., De Moor B., "Robust recursive identification of intersection origin-destination matrices", in Proc. of the Adaptive Systems in Control and Signal Processing (IFAC ACSP 1998), Glasgow, UK, Aug. 1998, pp. 117-122.


325. Verrelst H., Suykens J.A.K., Vandewalle J., De Moor B., "Bayesian Learning and the Fokker-Planck machine", in Proc. of the International Workshop on Advanced Black-box Techniques for Nonlinear Modeling, Leuven, Belgium, Jul. 1998, pp. 55-61.


326. De Schutter B., De Moor B., "On the boolean minimal realization problem in the max-plus algebra", in Proc. of the International Conference on Discrete Event Systems (WODES'98), Cagliari, Italy, Aug. 1998, pp. 231-236.


327. De Schutter B., Blondel V., De Moor B., "On the complexity of the boolean minimal realization problem in the max-plus algebra", in Advances in Systems, Signals, Control and Computers, (Baji{ć} V.B., ed.), Proc. of the International Conference on Systems, Signals, Control, Computers (SSCC'98), Vol. II, IAAMSAD and ANS, 1998, pp. 451-455.


328. De Schutter B., De Moor B., "The extended linear complementarity problem and the modeling and analysis of hybrid systems", in Hybrid Systems V, (Antsaklis P., Kohn W., Lemmon M.D., Nerode A., and Sastry S., eds.), Proc. of the 5th International Workshop on Hybrid Systems, Notre Dame, Indiana, Sept. 1997, vol. 1567 of Lecture Notes in Computer Science, Springer, 1999, pp. 70-85.


329. De Cock K., Van Gestel T., De Moor B., "Identification of the circulant modulated Poisson process: a time domain approach", in Proc. of the Mathematical Theory of Networks and Systems 98 Symposium (MTNS-98), Padova, Italy, Jul. 1998, pp. 739-742.


330. De Cock K., De Moor B., "Stochastic System Identification for ATM Network Traffic Models: a Time Domain Approach", in Proc. of the IX European Signal Processing Conference (EUSIPCO-98), Rhodes, Greece, Sep. 1998, pp. 2137-2140.


331. De Schutter B., De Moor B., "On the sequence of consecutive matrix powers of boolean matrices in the max-plus algebra", in Theory and Practice of Control and Systems, (Tornambé A., Conte G., and Perdon A.M., eds.), Proc. of the 6th IEEE Mediterranean Conference on Control and Systems, Alghero, Italy, June 1998, World Scientific (Singapore, S), 1999, pp. 672-677.


332. Verrelst H., Vandewalle J., De Moor B., Timmerman D., "Bayesian Input Selection for Neural Network Classifiers", in Proc. of the Third International Conference on Neural Networksand Expert Systems in Medicine and Healthcare (NNESMED'98), Pisa, Italy, Sep. 1998, pp. 125-132.


333. Favoreel W., Van Huffel S., De Moor B., Sima V., Verhaegen M., "Comparative study between three subspace identification algorithms.", in Proc. of the European Control Conference (ECC'99), Aug.-Sept. 1999, F298 p.


334. de Vries R.E., De Schutter B., De Moor B., "On max-algebraic models for transportation networks", in Proc. of the International Workshop on Discrete Event Systems (WODES'98), Cagliari, Italy, Aug. 1998, pp. 457-462.


335. Van Gestel T., De Cock K., Jans R., De Schutter B., Degraeve Z., De Moor B., "Discrete stochastic modelling of ATM-traffic with circulant transition matrices", in Proc. of the Mathematical Theory of Networks and Systems 98 (MTNS98), Padua, Italy, Jul. 1998, pp. 891-894.


336. De Cock K., De Moor B., "Identification of the first order parameters of a circulant modulated Poisson process", in Proc. of the International Conference on Telecommunications (ITC'98), Porto Carras, Greece, Jun. 1998, pp. 420-424 (Vol. II).


337. Minten W., Vranckx S., De Moor B., Vandewalle J., "Bondlab, a Toolbox for mechatronic design embedded in MatLab 5", in The 1997 Benelux MatLab User Conference, October 27-28, Amsterdam, The Netherlands, 11 p.


338. De Lathauwer L., De Moor B., Vandewalle J., "Dimensionality Reduction in Higher-Order-Only ICA", in Proc. of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS-97), Banff, Canada, Jul. 1997, pp. 316-320.


339. De Lathauwer L., De Moor B., "From Matrix to Tensor : Multilinear Algebra and Signal Processing", in Mathematics in Signal Processing IV, (McWhirter J., ed.), Selected papers presented at 4th IMA Int. Conf. on Mathematics in Signal Processing, Oxford University Press (Oxford, United Kingdom), 1998, pp. 1-15.


340. Van Overschee P., De Moor B., Favoreel W., "Numerical algorithms for subspace state space system identification (N4SID)", in Proc. of the ASME Design Engineering Technical Conference (ASME DETC'97), Sacramento, California, Sep. 1997, 9 p.


341. Minten W., Vranckx S., De Moor B., Vandewalle J., "Bondlab, a Toolbox for Integrated Mechatronic Design", in Proc. of the 11th European Simulation Multiconference (ESM'97), Istanbul, Turkey, Jun. 1997, pp. 199-203.


342. De Schutter B., De Moor B., "The extended linear complementarity problem and its applications in the analysis and control of discrete event systems and hybrid systems", in Proc. of the IEEE Singapore International Symposium on Control Theory and Applications (SISCTA'97), Singapore, July 29-30, 1997, pp. 394-398.


343. Favoreel W., De Moor B., "Subspace identification of bilinear systems", in Proc. of the MTNS98 (MTNS98), Padova, Italy, June 1998, 6 p.


344. De Gersem P., De Moor B., Moonen M., "Applications of the continuous wavelet transform in the processing of musical signals", in Proc. of the 13th International Conference on Digital Signal Processing (DSP97), Santorini, Greece, Jul. 1997, pp. 563-566.


345. Favoreel W., Lemmerling P., Suykens J.A.K., De Moor B., Crepel M., Briol P., "Modeling the Belgian gas consumption", in Proc. of the European Control Conference (ECC97), Brussels, Belgium, Sep. 1997, 6 p.


346. De Schutter B., De Moor B., "The extended linear complementarity problem and the modeling and analysis of hybrid systems", in Book of extended abstracts of the Hybrid Systems V (HS'97) workshop, Notre Dame, Indiana, USA, September 11-13, 1997, pp. 15-20.


347. De Schutter B., De Moor B., "Optimal traffic light control for a single intersection", in Proc. of the 1997 International Symposium on Nonlinear Theory and its Applications (NOLTA'97), Nov. 29-Dec. 2, 1997, pp. 1085-1088.


348. De Lathauwer L., De Moor B., "From matrix to tensor : multilinear algebra and signal processing", in Conf. Digest of the Fourth IMA International Conference on Mathematics in Signal Processing, Warwick, U.K, Dec. 1996, pp. 1-11.


349. Suykens J.A.K., De Moor B., Vandewalle J., "Robust NLq neural control theory", in Proc. of the International Conference on Neural Networks (ICCN'97), Houston, Texas USA, Jun. 1997.


350. De Moor B., "Linear system identification, structured total least squares and the Riemannian SVD", in Recent Advances in Total Least Squares Techniques and Errors-in-Variables modeling, SIAM, Philiadelphia, 1997, pp. 225-238.


351. De Schutter B., De Moor B., "Generalized linear complementarity problems and the analysis of continuously variable systems and discrete event systems", in Proc. of the International Workshop on Hybrid and Real-Time Systems (HART'97), Grenoble, France, March 26-28, 1997, vol. 1201 in Lecture Notes in Computer Science, Springer-Verlag, 1997, pp. 409-414.


352. De Schutter B., De Moor B., "The QR decomposition and the singular value decomposition in the symmetrized max-plus algebra", in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997, 6 p.


353. De Schutter B., De Moor B., "Matrix factorization and minimal state space realization in the max-plus algebra", in Proc. of the 1997 American Control Conference (ACC'97), Albuquerque, New Mexico, June 1997, pp. 3136-3140.


354. Favoreel W., De Moor B., Van Overschee P., "Subspace identification of balanced deterministic bilinear systems subject to white inputs", in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997, pp. 1-9.


355. Favoreel W., De Moor B., Van Overschee P., "A bilinear extension of subspace identification for systems subject to white inputs", in Proc. of the American Control Conference (ACC'97), Alburquerque, New Mexico, Jun. 1997, pp. 607-611.


356. Yi C., De Moor B., "Traffic identification of ATM networks with optimization algorithms", in Proc. of the 35th IEEE Conference on Decision and Control (CDC'96), Kobe, Japan, Dec. 1996, pp. 277-282.


357. Lemmerling P., Van Huffel S., De Moor B., "Structured total least squares problems : formulations, algorithms and applications", in Recent Advances in Total Least Squares Techniques and Errors-in-Variables modeling, SIAM, Philadelphia, 1997, pp. 215-223.


358. Verrelst H., Van Acker K., Suykens J.A.K., Motmans B., De Moor B., Vandewalle J., "NL$_{q}$ neural control theory: case study for a ball and beam system", in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997.


359. Suykens J.A.K., Vandewalle J., De Moor B., "Nonlinear H$_{\infty}$ control for continuous-time recurrent neural networks", in Proc. of the European Control Conference (ECC'97), Brussels, Belgium, Jul. 1997.


360. Minten W., De Moor B., Vandewalle J., "Condensed bond graph modeling", in Proc. of the ICBGM'97, 3rd International Conference on Bond Graph Modeling and Simulation, Part of the WMC'97 Multiconference (ICBGM'97), Phoenix, Arizona, Jan. 1997, pp. 50-55.


361. Lemmerling P., Van Huffel S., De Moor B., "Structured total least squares methods in signal processing", in Proc. of the 8th European Signal Processing Conference (EUSIPCO'96), Trieste, Italy, Sep. 1996, pp. 819-822.


362. De Lathauwer L., De Moor B., Vandewalle J., "A technique for higher-order-only blind source separation", in Proc. of the International Conference on Neural Information Processing (ICONIP'96), Hong Kong, Sep. 1996, pp. 1223-1228.


363. Suykens J.A.K., De Moor B., Vandewalle J., "Links between NL$_{q}$ neural control theory and mu robust control theory", in Proc. of the IEEE International Conference on Decision and Control (CDC'96), Kobe, Japan, Dec. 1996.


364. Van Overschee P., De Moor B., Dehandschutter W., Swevers J., "A subspace algorithm for the identification of discrete time frequency domain power spectra", in Proc. of the 11th IFAC Symposium on System Identification (SYSID'97 SICE), Fukuoka, Japan, Jul. 1997, pp. 1149-1154.


365. De Schutter B., De Moor B., "Applications of the extended linear complementarity problem in the max-plus algebra", in Proc. of the International Workshop on Discrete Event Systems (WODES'96), Edinburgh, UK, Aug. 1996, pp. 69-74.


366. De Lathauwer L., De Moor B., Vandewalle J., "Independent component analysis based on higher-order statistics only", in Proc. of the 8th IEEE SP Workshop on Statistical Signal and Array Processing (SSAP'96), Corfu, Greece, Jun. 1996, pp. 356-359.


367. De Lathauwer L., De Moor B., Vandewalle J., "Blind source separation by simultaneous third-order tensor diagonalization", in Proc. of the 8th European Signal Processing Conference (EUSIPCO'96), Trieste, Italy, Sep. 1996, pp. 2089-2092.


368. De Lathauwer L., Comon P., De Moor B., Vandewalle J., "Higher-order power method - application in independent component analysis", in Proc. of the International Symposium on Nonlinear Theory and its Applications (NOLTA'95), Las Vegas, Nevada, Dec. 1995, pp. 91-96.


369. De Schutter B., De Moor B., "The extended linear complementarity problem and its applications in the max-plus algebra", in Complementarity and Variational Problems: State of the Art, (Ferris M.C., and Pang J.S., eds.), Proc. of the International Conference on Complementarity Problems, Baltimore, Maryland, Nov. 1995, SIAM (Philadelphia, Pennsylvania), 1997, pp. 22-39.


370. Van Overschee P., De Moor B., "About the choice of state space basis in combined deterministic-stochastic subspace identification", in Proc. of the American Control Conference (ACC'95), Seattle, Washington, Jun. 1995, pp. 4072-4076.


371. Moons C., Vanvuchelen P., Minten W., De Moor B., "A computer controlled test set-up for continuously variable transmissions", in Proc. of the 2nd International Conference on Road Vehicle Automation (ROVA'95), Bolton, UK, Sep. 1995, pp. 226-235.


372. Vanvuchelen P., Moons C., Minten W., De Moor B., "Electronic control of continuously variable transmissions", in Proc. of the 2nd International Conference on Road Vehicle Automation (ROVA95), Bolton, UK, Sep. 1995, pp. 100-109.


373. De Moor B., "Continuous-time algorithms for the Riemannian SVD", in Proc. of the 34th IEEE Conference on Decision and Control (CDC'95), New Orleans, Louisiana, Dec. 1995, pp. 1084-1090.


374. Minten W., Vanvuchelen P., Moons C., De Moor B., "Modeling of the CVT in a virtual engineering environment", in Proc. of the 2nd International Conference on Road Vehicle Automation (ROVA'95), Bolton, UK, Sep. 1995, pp. 161-170.


375. Van Overschee P., De Moor B., "Continuous-time frequency domain subspace system identification", in Proc. of the 13th IFAC World Congress, San Francisco, California, July 1996, pp. 157-162.


376. De Moor B., Van Overschee P., "Numerical algorithms for subspace state space system identification", in Trends in Control, a European Perspective, (Isidori A., ed.), Invited Papers of the European Control Conference (ECC'95), Rome, Italy, Sep. 1995, pp. 385-422.


377. De Schutter B., De Moor B., "State space transformations and state space realization in the max algebra", in Proc. of the 34th IEEE Conference on Decision and Control (CDC'95), New Orleans, Louisiana, Dec. 1995, pp. 891-896.


378. De Lathauwer L., De Moor B., Vandewalle J., "Blind source separation by higher-order singular value decomposition", in Proc. of the 7th European Signal Processing Conference (EUSIPCO'94), Edinburgh, UK, Sep. 1994, pp. 175-178.


379. De Lathauwer L., De Moor B., Vandewalle J., "The application of higher-order singular value decomposition to independent component analysis", in SVD and Signal Processing, III: Algorithms, Architectures and Applications, (Moonen M., and De Moor B., eds.), Elsevier, 1995, pp. 383-390.


380. De Lathauwer L., De Moor B., Vandewalle J., "Canonical decomposition of a fourth-order tensor", in Book of abstracts of the Linear Algebra and Applications Conference, Manchester, U.K., Jul. 1995, 3 p.


381. De Lathauwer L., De Moor B., Vandewalle J., "Fetal electrocardiogram extraction by independent component analysis", in Book of abstracts of the Linear Algebra and Applications Conference, Manchester, U.K., Jul. 1995, 3 p.


382. De Lathauwer L., De Moor B., Vandewalle J., "Fetal electrocardiogram extraction by source subspace separation", in Proc. of IEEE Signal Processing / Athos Workshop on Higher-Order Statistics, Girona, Spain, Jun. 1995, pp. 134-138.


383. De Moor B., "The Riemannian singular value decomposition", in SVD and Signal Processing, III: Algorithms, Architectures and Applications, (Moonen M., and De Moor B., eds.), Elsevier, 1995, pp. 61-78.


384. Suykens J.A.K., De Moor B., Vandewalle J., "NL$_{q}$ theory: unifications in the theory of neural networks, systems and control", in Proc. of the European Symposium on Artificial Neural Networks (ESANN'95), Brussels, Belgium, Apr. 1995, pp. 271-276.


385. Yi C., Dehaene J., De Moor B., "Computation of the structured singular value with gradient based optimization algorithms", in Proc. of the American Control Conference (ACC'95), Seattle, Washington, Jun. 1995, pp. 3034-3040.


386. Schelfhout G., De Moor B., "Time-domain weighted balanced truncation", in Proc. of the European Control Conference (ECC'95), Rome, Italy, Sep. 1995, pp. 2187-2190.


387. Suykens J.A.K., De Moor B., Vandewalle J., "Stability criteria for neural control systems", in Proc. of the 3rd European Control Conference (ECC'95), Roma, Italy, Sep. 1995, pp. 2766-2771.


388. De Moor B., "Dynamic Total Linear Least Squares", in Proc. of SYSID'94, 10th IFAC Symposium on System Identification, vol. 3, Copenhagen, Jul. 1994, pp. 159-164.


389. Van Overschee P., De Moor B., "A unifying theorem for subspace identification algorithms and its interpretation", in Proc. of 10th IFAC Symposium on System Identification (SYSID'94), Copenhagen, Denmark, Jul. 1994, pp. 145-150.


390. Yi C., De Moor B., "A continuous time power iteration method for computing a lower bound of $\mu$", in Proc. of the American Control Conference (ACC'94), Baltimore, Maryland, Jun.-Jul. 1994, pp. 1416-1417.


391. De Schutter B., De Moor B., "Minimal state space realization of MIMO systems in the max algebra", in Proc. of the 3rd European Control Conference (ECC'95), Rome, Italy, Sep. 1995, pp. 411-416.


392. De Moor B., Roorda B., "L2-optimal linear system identification: Structured Total Least Squares for SISO systems", in Proc. of the 33rd IEEE Conference on Decision and Control (CDC), (Invited session on System Representation and Identification in the Behavioral Framework, Antoulas, Weiland (org.), Lake Buena Vista, Florida, Dec. 14-16, 1994, pp. 2874-2879.


393. Schelfhout G., De Moor B., "A note on closed-loop balanced truncation", in Proc. of the 34th IEEE Conference Decision & Control, New Orleans, Louisiana, Dec. 1995, pp. 3092-3093.


394. Moons C., Vanvuchelen P., De Moor B., "A computer controlled test setup for continuously variable transmissions", in Proc. of the Labview in Education Conference, Antwerp, Belgium, Jun. 1994, 14 p.


395. De Moor B., "Dynamical Total Least Squares", in Proc. 10th IFAC Symposium on System Identification, Copenhagen, Denmark, vol. 3, Jul. 1994, pp. 159-164.


396. Minten W., De Moor B., Vandewalle J., "State equations of nonlinear dynamic systems", in Proc. of the 1995 International Conference on Bond Graph Modeling and Simulation (ICBGM'95), Las Vegas, Nevada, Jan. 1995, pp. 23-28.


397. Schelfhout G., De Moor B., "Frequency weighted $H_2$ and Hilbert-Schmidt-Hankel norm model reduction", in Proc. of the 33rd IEEE Conference Decision Control, Lake Buena Vista, Florida, Dec. 1994, pp. 3215-3216.


398. Schelfhout G., De Moor B., "A relative error model reduction method using balancing", in Proc. of the 33rd IEEE Conference Decision Control, Lake Buena Vista, Florida, Dec. 1994, 2734 p.


399. Berckmans D., De Moor M., De Moor B., "Linking Physical Models to System Identification in Micro-Environment Control", in Proc. of 12th World Congress IFAC, Sydney, Australia, 18-23 Jul., 1993, pp. 317-320.


400. De Lathauwer L., De Moor B., Vandewalle J., "A singular value decomposition for higher-order tensors", in Proc. of the ATHOS Workshop on System Identification and High-Order Statistics, Nice, France, Sep. 1993, 3 p.


401. Zhu Y., Van Overschee P., De Moor B., Ljung L., "Comparison of three classes of identification methods", in Proc. of 10th IFAC Symposium on System Identification (SYSID'94), Copenhagen, Denmark, Jul. 1994, pp. 175-180.


402. De Schutter B., De Moor B., "The characteristic equation and minimal state space realization of SISO systems in the max algebra", in Proc. of 11th International Conference on Analysis and Optimization of Systems (ICAOS'94), (Cohen G., and Quadrat J.P., eds.), Sophia-Antipolis, France, Jun. 1994, Springer-Verlag, 1994, pp. 273-282.


403. Yi C., De Moor B., "A continuous power iteration for computing a lower bound of $\mu^\ast$", in Proc. of the 1994 American Control Control Conference (ACC'94), Baltimore, Maryland, Jun.-Jul. 1994, pp. 1416-1417.


404. David J., De Moor B., "Designing reduced order output feedback controllers using a potential reduction method", in Proc. of the American Control Conference (ACC'94), Baltimore, Maryland, Jun.-Jul. 1994, pp. 845-849.


405. David J., De Moor B., "Computing solutions of the Frisch scheme using a potential reduction method", in Proc. of 10th IFAC Symposium on System Identification (SYSID'94), Copenhagen, Denmark, Jul. 1994, pp. 175-180.


406. Van Overschee P., De Moor B., "A unifying theorem for three subspace system identification algorithms", in Proc. of the American Control Conference (ACC'94), Baltimore, Maryland, Jun.-Jul. 1994, pp. 1645-1649.


407. Suykens J.A.K., De Moor B., Vandewalle J., "Neural network models as linear systems with bounded uncertainty, applicable to robust controller design", in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 419-422.


408. Suykens J.A.K., De Moor B., Vandewalle J., "Stabilizing neural controllers: a case study for swinging up a double inverted pendulum", in Proc. of the International Symposium on Nonlinear Theory and its Application (NOLTA'93), Hawaii, Dec. 1993, pp. 411-414.


409. Van Overschee P., De Moor B., Boyd S., Aling H., Kosut R., "A fully interactive system identification module for Xmath (ISID)", in Proc. of 10th IFAC Symposium on System Identification (SYSID'94), Copenhagen, Denmark, Jul. 1994, pp. 1.


410. Vanvuchelen P., De Moor B., "A Multi-Objective Optimization Approach for Parameter Setting in System and Control Design", in Preprints of the 16th IFIP Conference on system modeling and optimization, Compiegne, France, Jul. 1993, pp. 63-66.


411. Van Huffel S., De Moor B., Chen H., "Relationships between structured and constrained TLS, with applications to signal enhancement", in Systems and Networks: Mathematical Theory and Applications, (Helmke U., Mennicken R., and Saurer J., eds.), Regensburg, Germany, Aug. 1993, Akademie Verlag, Berlin, 1994, pp. 899-904.


412. Thierens D., Suykens J.A.K., Vandewalle J., De Moor B., "Genetic weight optimization of a feedforward neural network controller", in Proc. of the International Conference on Artificial Neural Networks and Genetic Algorithms, Innsbruck, Austria, Apr. 1993, 6 p.


413. Vanvuchelen P., De Moor B., Reniers D., Vandemoortele P., "A Mechatronics Approach to Design and Control of an Electronically Controlled Continuously Variable Transmission", in Proc. of the 26th ISATA Conference on Mechatronics, Sep. 13-17, Aachen, Germany, 1993, pp. 289-296.


414. Van Overschee P., De Moor B., "N4SID: Numerical algorithms for state space subspace system identification", in Proc. of the 12th IFAC World Congress, Sydney, Australia, Jul. 1993, pp. 361-364.


415. David J., De Moor B., "The opposite of analytic centering for solving minimum rank problems in control and identification", in Proc. of the 32nd Conference on Decision and Control (CDC), San Antonio, Texas, Dec. 1993, pp. 2901-2902.


416. Yi C., De Moor B., "A multidimensional realization algorithm for parametric uncertainty modeling", in Proc. of the 32nd IEEE Conference on Decision and Control (CDC'93), Dec. 1993, pp. 3022-3023.


417. Van Impe J., De Moor B., Vandewalle J., "Singular optimal control of fed-batch fermentation processes with growth/production decoupling and state inequality constraints", in Proc. of the 12th IFAC World Congress, Sydney, Australia, Jul. 1993, pp. 125-128.


418. Van Impe J., De Moor B., Vandewalle J., "Properties of the optimal singular control of fed-batch fermentation processes", in Proc. of the European Control Conference (ECC'93), Groningen, The Nederlands, June.-Jul. 1993, pp. 274-279.


419. Minten W., Vanvuchelen P., De Moor B., "Modeling of an electronically driven continuously variable transmission", in Proc. of the 1993 International Conference on Bond Graph Modeling and Simulation (ICBGM'93), San Diego, California, Jan. 1993, pp. 223-228.


420. David J., De Moor B., "On the calculation of the euclidean parameter margin", in Proc. of the European Control Conference (ECC'93), Groningen, The Netherlands, Jun. 1993, pp. 380-384.


421. David J., De Moor B., "$H_2$ controller design with an $H_\infty$ bounded controller", in Proc. of the American Control Conference (ACC'93), San Francisco, California, Jun. 1993, pp. 248-249.


422. Suykens J.A.K., De Moor B., "Nonlinear system identification using multilayer neural networks: some ideas for initial weights, number of hidden neurons and error criteria", in Proc. of the 12th IFAC World Congress, Sydney, Australia, Jul. 1993, pp. 49-52.


423. Aling H., Miletti U., Kosut R.L., Mesaros M.P., Van Overschee P., De Moor B., "An interactive system identification module for Xmath", in Proc. of the American Control Conference (ACC'93), San Francisco, California, Jun. 1993, pp. 3071-3075.


424. Van Overschee P., De Moor B., "Subspace identification of a glass tube manufacturing process", in Proc. of the 2nd European Control Conference (ECC'93), Groningen, The Netherlands, Jun.-Jul. 1993, pp. 2338-2343.


425. De Moor B., Van Overschee P., Schelfhout G., "$H_2$ model reduction for SISO systems", in Proc. of the 12th IFAC World Congress, Sydney, Australia, Jul. 1993, pp. 227-230.


426. Van Overschee P., De Moor B., "Two subspace algorithms for the identification of combined deterministic stochastic systems", in Proc. of the 31st IEEE Conference on Decision and Control (CDC'92), Tucson, Arizona, Dec. 1992, pp. 511-516.


427. Van Impe J., Vanrolleghem P., Verstraete W., De Moor B., Vandewalle J., "Model based monitoring and control of activated sludge wastewater treatment processes. Part II: nonlinear control of the biotransformation and sedimentation process", in Modeling and Control of Water Resources Systems and Global Changes, (Kerckhoffs E., Koppelaar H., Van der Beken A., and Vansteenkiste G., eds.), Society for Computer Simulation SCS, San Diego, California, 1991, pp. 221-226.


428. David J., De Moor B., "The quotient SVD and directional aspects of 2 transfer matrices", in Proc. of the Compeuro, The Hague, The Netherlands, 1992, pp. 316-321.


429. Van Overschee P., De Moor B., "Subspace algorithms for the stochastic identification problem", in Proc. of the 30th IEEE Conference on Decision and Control (CDC'91), Brighton, UK, Dec. 1991, pp. 1321-1326.


430. David J., De Moor B., Vandewalle J., "The quotient SVD and $H_\infty$ norms", in Proc. of the American Control Conference (ACC'92), Chicago, Illinois, Jun. 1992, pp. 2215-2216.


431. Moonen M., De Moor B., Vandewalle J., "SVD-based subspace methods for multivariable continuous-time systems identification", in Identification of Continuous-Time Systems, (Rao G.P., and Sinha N.K., eds.), Kluwer Academic Publications, 1991, pp. 473-488.


432. Van Impe J., Nicolaï B., De Moor B., Vandewalle J., "Evaluation of on-line conventional and adaptive controllers for the penicillin G fed-batch fermentation based on simulations using a new mathematical model", in Modeling and Simulation 1991, (Mosekilde E., ed.), Society for Computer Simulation SCS, San Diego, California, 1991, pp. 873-878.


433. Van Impe J., Nicolaï B., Spriet J., De Moor B., Vandewalle J., "Optimal control of the penicillin G fed-batch fermentation: an analysis of the model of Bajpai and Reuß", in Modeling and Simulation 1991, (Mosekilde E., ed.), Society for Computer Simulation SCS, San Diego, California, 1991, pp. 867-872.


434. Vandewalle J., De Moor B., "On the use of the singular value decomposition in identification and signal processing", in Proc. of the workshop of the NATO Advanced Study Institute on Numerical Linear Algebra, Digital Signal Processing and Parallel Algorithms, Leuven, Belgium, Aug. 1988, pp. 321-361.


435. De Moor B., "Generalizations of the Singular Value and QR Decompositions", in Algorithms and parallel VLSI architectures, (Deprettere E.F., and Van der Veen A.J., eds.), Elsevier Science Publishers B.V. (North-Holland), 1991, pp. 229-241.


436. Van Overschee P., De Moor B., Suykens J.A.K., "Subspace algorithms for system identification and stochastic realization", in Proc. of the International Symposium on Recent Advances in Mathematical Theory of Systems, Control, Networks and Signal Processing (MTNS'91), Kobe, Japan, Jun. 1991, pp. 589-595.


437. Van Impe J., Nicolaï B., Vanrolleghem P., Spriet J., De Moor B., Vandewalle J., "Optimal control of the penicillin G fed-batch fermentation: an analysis of a new unstructured model", in Proc. of the 1991 European Control Conference (ECC), Grenoble, France, Jul. 1991, pp. 1624-1629.


438. De Moor B., Swevers J., Van Brussel H., "Stepped sine system identification, errors-in-variables and the quotient singular value decomposition", in Proc. of the 15th International Seminar on Modal Analysis, Katholieke Universiteit Leuven, Belgium, Sep. 1990, pp. 59-76.


439. De Moor B., "Generalizations of the OSVD: Structure, properties and applications", in In SVD and Signal Processing, II: Algorithms, Analysis and Applications, R. Vaccaro, ed., Elsevier Science Publishers B.V. (North-Holland), 1991, pp. 83-98.


440. De Moor B., Gevers M., Goodwin G., "$L_2$-Overbiased, $L_2$-underbiased and $L_2$-unbiased estimation of transfer functions", in Proc. of the European Control Conference (ECC) 91, Grenoble Jul. 2-5, 1991, pp. 1372-1377.


441. De Moor B., Gevers M., Goodwin G., "$L_2$-Overbiased, $L_2$-underbiased and $L_2$-unbiased estimation of transfer functions", in Proc. of 9th IFAC/IFORS Symposium on Identification and System Parameter Estimation, Budapest, Hungary, 8-12 Jul. 1991.


442. Vandenberghe L., De Moor B., Vandewalle J., "The generalized linear complementarity problem applied to the complete analysis of resistive piecewise-linear circuits", in Proc. of the International Symposium on Circuits and Systems 1989, vol.3, Portland, May 1989, pp. 2155-2158.


443. De Moor B., Moonen M., Vandenberghe L., Vandewalle J., "The application of the canonical correlation concept to the identification of linear state space models", in A. Bensousan, J.L. Lions, (Eds) Analysis and Optimization of Systems, Springer Verlag, Heidelberg, 1988, pp. 1103-1114.


444. De Moor B., Moonen M., Vandenberghe L., Vandewalle J., "Identification of linear state space models with singular value decomposition using canonical correlation concepts", in `SVD and Signal Processing: Algorithms, Applications and Architectures', E. Deprettere (ed.), Elsevier Science Publishers B.V. (North-Holland), 1988, pp. 161-169.


445. De Moor B., "An introduction to system identification", in 1988 Integrated European Course in Mechatronics, Leuven, Belgium, May 30- Jun. 3, 1988.


446. Reniers D., De Moor B., Vandewalle J., "A didactical project with a personal computer network for engineering education", in 4th IFAC symposium on Computer Aided Design in Control Systems (CADCS '88), Beijing, China, Aug. 1988, pp. 169-173.


447. De Moor B., Vandewalle J., "The uncertainty principle of mathematical modeling", in A. Bensoussan, J.L. Lions, (Eds), Analysis and Optimization of Systems, Springer Verlag, Heidelberg, Germany, 1988, pp. 1051-1063.


448. Swevers J., Moonen M., De Moor B., Vandewalle J., "A black box identification algorithm for analysis of structural dynamics", in Proc. of the 13th International Seminar on Modal Analysis, Leuven, Belgium, Sep. 1988, 36 p.


449. De Moor B., Vandewalle J., "The uncertainty principle of mathematical modeling", in Preprints 8th IFAC/IFORS Symposium on identification and system parameter estimation, Beijing Aug. 27-31, 1988, pp. 2017-2021.


450. Reniers D., Vandewalle J., De Moor B., "A personal computer network for didactical purposes in engineering education", in Proc. SEFI 1988 Annual Conference, Leuven, Belgium, 30 Aug.-2 Sep. 1988, pp. 341-346.


451. Vandewalle J., De Moor B., "A variety of applications of the singular value decomposition in identification and signal processing", in `SVD and Signal Processing: Algorithms, Applications and Architectures', E. Deprettere (ed.), Elsevier Science Publishers B.V. (North-Holland), 1988, pp. 43-91.


452. De Moor B., Staar J., Vandewalle J., "Oriented energy and oriented signal-to-signal ratio concepts in the analysis of vector sequences and time series", in `SVD and Signal Processing: Algorithms, Applications and Architectures', E. Deprettere (ed.), Elsevier Science Publishers B.V. (North-Holland), 1988, pp. 209-232.


453. De Moor B., Vandewalle J., Moonen M., Van Mieghem P., Vandenberghe L., "A geometrical strategy for the identification of state space models of linear multivariable systems with singular value decomposition", in Proc. 8th IFAC/IFORS Symposium on identification and system parameter estimation, Beijing Aug. 27-31, 1988, pp. 700-704.


454. De Moor B., Moonen M., Vandenberghe L., Vandewalle J., "A geometrical approach for the identification of state space models with singular value decomposition", in Proc. of the International Conference on Acoustics, Speech and Signal Processing 1988, New York, Apr. 1988, pp. 2244-2247.


455. Swevers J., Adams M., De Moor B., "A new direct time domain identification method for linear systems using singular value decomposition", in Proc. of the 12th International Seminar on Modal Analysis, Katholieke Universiteit Leuven, Belgium, 21-24 Sep. 1987, pp. I2-3(1-10).


456. De Moor B., Vandewalle J., "An adaptive singular value decomposition algorithm based on generalized Chebyshev recursions", in Mathematics in signal processing, T.S. Durrani, J.B. Abbiss, J.E. Hudson, R.N. Madan, J.G. McWhirter and T.A. Moore (ed.), Clarendon Press-Oxford, 1987, pp. 607-635.


457. De Moor B., Vandewalle J., "A geometrical strategy for the identification of state space models of linear multivariable systems with singular value decomposition", in Proc. of the 3rd International Symposium on Appl. of Multivariable System Techniques, Plymouth, Inst. of Measurement and Control, United Kingdom, 13-15 Apr., 1987, pp. 59-68.


458. Berckmans D., De Moor B., Vandewalle J., Goedseels V., "Control Strategies for a non-perfectly mixed livestock building based on adaptive on-line identification", in Proc. of the 2nd International Seminar, section C.I.G.R., on Latest developments in livestock housing, Illinois, U.S.A., Jun. 22-26, 1987, pp. 271-280.


459. De Moor B., Vandewalle J., "The uncertainty principle of mathematical modelling", in Proc. of the 8th Symposium on Inf. Theory in the Benelux, Deventer, The Netherlands, May 1987, pp. 1-6.


460. De Moor B., Vandewalle J., "All nonnegative solutions of sets of linear equations and the linear complementarity problem", in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS'87), Philadelphia, Pennsylvania, May 1987, pp. 1076-1079.


461. Berckmans D., De Moor B., Vandewalle J., Goedseels V., "Modeling the design of ventilation controllers for pig houses", in Proc. of the Second International Conference on system simulation in buildings, Section 6.3, Liege, Belgium, Dec. 1986, pp. 369-388.


462. Berckmans D., De Moor B., Vandewalle J., Goedseels V., "Modeling strategy for performance estimation of control systems in confined spaces", in 2nd International Conference on System Simulation in Buildings, Liege, Belgium, Dec. 1-3, Section 6.3, 1986, 16 p.


463. De Moor B., Vandewalle J., "The uniqueness versus the non-uniqueness principle in the identification of linear relations from noisy data", in Proc. of the 25th IEEE Conference on Decision and Control, Athens, Greece, vol.3, Dec. 1986, pp. 1663-1665.


464. De Moor B., Vandewalle J., "A geometrical approach to the maximal corank problem in the analysis of linear relations", in Proc. of the 25th IEEE Conference on Decision and Control, Athens, Greece, vol.3, Dec. 1986, pp. 1990-1995.


465. Vandewalle J., Vanderschoot J., De Moor B., "Source separation by adaptive singular value decomposition", in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS'85), Kyoto, Japan, Jun. 1985, pp. 1351-1354.


466. Vandewalle J., Vanderschoot J., De Moor B., "Filtering of vector signals based on the singular value decomposition", in 7th European Conference on Circuit Theory, Design, Prague, 2-6 Sep. 1985, pp. 458-461.


467. De Moor B., Vandewalle J., "A numerically reliable algorithm for fitting a sum of exponentials or sinusoids to noisy data", in Proc. 3rd IFAC International Symp. on Comp. Aided Control and Eng. Syst., Copenhagen, CADCE '85, Jul. 31- Aug. 2, 1985, pp. 434-439.


468. Vandewalle J., Staar J., De Moor B., Lauwers J., "An adaptive singular value decomposition algorithm and its application to adaptive realization", in Proc. of 6th International Conference on Analysis and Optimization of Systems, Nice, France, Springer Verlag, Berlin, June 1984, pp. 33-47.

National Conference Papers

1. Huyck B., De Brabanter J., Van Impe J., De Moor B., "Identifcation and Modeling of a Dynamical System", in Proceedings of the Third European Conference on the Use of Modern Information and Communication Technologies , (De Backer L., ed.), Proceedings of the Third European Conference on the Use of Modern Information and Communication Technologies , Nevelland v.z.w (Gent, Belgium), 2008, pp. 213 - 224.


2. Dewitte E., De Moor B., Preneel B., "Information theoretic measures applied to power and electromagnetic traces measured from an FPGA performing an elliptic curve point multiplication", in Proc.of the 25th Symposium on Information Theory in the Benelux, Kerkrade, The Netherlands, Jun. 2004, pp. 105-111.


3. De Lathauwer L., Vandewalle J., De Moor B., "An algebraic Technique for blinf MIMO Deconvolution of Constant Modulus Signals", in Proc. of the 24th Symposium on Information Theory in the Benelux, Veldhoven, The Netherlands, May 2003, pp. 203-209.


4. De Lathauwer L., de Baynast A., Vandewalle J., De Moor B., "New Algebraic Techniques for the Separation of DS-CDMA signals", in Proc. 24th Symposium on Information Theory in the Benelux, Veldhoven, The Netherlands, May 2003, pp. 211-218.


5. Antal P., Fannes G., Moreau Y., De Moor B., "Using Literature and Data to Annotate and Learn Bayesian Networks", in Proc. of the Belgian-Dutch Artificial Intelligence Conference, (BNAIC'02), Leuven, Belgium, Oct. 2002, pp. 3-10.


6. De Lathauwer L., De Moor B., Vandewalle J., "An Algebraic Algorithm for Blind Identification with more Inputs than Outputs", in Proc. 23rd Symp. on Information Theory in the Benelux, Louvain-la-Neuve, Belgium, May 2002, pp. 241-246.


7. De Lathauwer L., De Moor B., Vandewalle J., "An algorithm for joint diagnolization by a congruence transformation", in Proc. 23rd Symp. on Information Theory in the Benelux, Louvain-la-Neuve, Belgium, May 2002, pp. 235-240.


8. De Lathauwer L., Fevotte C., De Moor B., Vandewalle J., "Jacobi Algorithm for Joint Block Diagonalization in Blind Idenfitication", in Proc. 23rd Symposium on Information Theory in the Benelux, Louvian-la-Neuve, Belgium, May 2002, pp. 155-162.


9. Antal P., Fannes G., De Moor B., Vandewalle J., Van Huffel S., Timmerman D., "Bayesian predictive models for ovarian cancer classification : evalution of logistic regression, multi layer perceptron and belief network models in the Bayesian context", in Proc. of the Tenth Belgian-Dutch conference on Machine Learning (BENELEARN2000), Tilburg, The Netherlands, Dec. 2000, pp. 125-132.


10. Schouten T., De Moor B., "Filter design for a sinusoidal synthesis engine using linear programming and sound synthesis examples", in Proc. of the 2nd IEEE Benelux Signal Processing Symposium (SPS-2000), Hilvarenbeek, The Netherlands, Mar. 2000, cdrom p.


11. De Lathauwer L., Vandewalle J., De Moor B., "Jacobi-Algorithm for Simultaneous Generalized Schur Decomposition in Higher-Order-Only ICA", in Proc. of the IEEE Benelux Signal Processing Chapter 1998 Signal Processing Symposium (SPS'98), Leuven, Belgium, Mar. 1998, pp. 67-70.


12. De Gersem P., De Moor B., Moonen M., "Applications of wavelets in audio and music", in Record of the KVIV Study-day on Wavelet analysis : a new tool in signal and image processing, Antwerp, Belgium, Dec. 1996, 14 p.


13. Minten W., De Moor B., Vandewalle J., "Bond graphs as a mechatronic modeling tool", in BIRA Studiedag over Mechatronica, Realisatie en Evoluties, Leuven, Belgium, Oct. 1995, 19 p.


14. De Lathauwer L., De Moor B., Vandewalle J., "A singular value decomposition for higher-order tensors", in Proc. of the ProRISC/IEEE Workshop on Circuits, Systems and Signal-Processing, Houthalen, Belgium, Mar. 1993, pp. 37-43.


15. Berckmans D., De Moor B., Vandewalle J., Goedseels V., "On-line identification and control of heating, ventilating and air-conditioning in livestock buildings", in Proc. of the studiedag Identifikatietechnieken in de praktijk, mogelijkheden en realizaties, Heverlee, Belgium, May 1987, pp. 1-17.

Ph.D.-theses

1. De Moor B., Mathematical concepts for modeling of static and dynamic systems, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), 1988.

Internal Reports

1. Vanpoucke L., De Moor B., "Constructing multidimensional difference equations from a state-space representation through the generalized Cayley-Hamilton theorem", Internal Report 24-35, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2024. IEEE Control Systems Letters (L-CSS).


2. Lagauw S., De Moor B., "Least Squares Projection Onto the Behavior for SISO LTI Models", Internal Report 23-162, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in .


3. Uyttendaele Y., De Moor B., "Transcribing manuscripts in mensural notation : A comprehensive pipeline", Internal Report 23-160, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in 2023 Asilomar Conference on Signals, Systems, and Computers.


4. Achten S., Pandey A., De Meulemeester H., De Moor B., Suykens J.A.K., "Duality in Multi-View Restricted Kernel Machines", Internal Report 23-83, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. ICML Workshop on Duality for Modern Machine Learning, Honolulu, Hawaii, USA, 2023.


5. Godaine J., Chitale Y., De Moor B., Mathieu C., Ancheva L., Van Damme P., Claeys K., Bossuyt X., Carpentier S., Poesen K., "Peptides from the variable domain of immunoglobulin G as biomarkers in chronic inflammatory demyelinating polyradiculoneuropathy", Internal Report 23-51, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2023. Accepted for publication in Neurology, Neuroimmunology & Neuroinflammation.


6. Zhang W., Patterson N., Verbeeck N., Moore J., Ly A., Caprioli R., De Moor B., Norris J., Claesen M., "Multimodal MALDI imaging mass spectrometry for improved diagnosis of melanoma", Internal Report 22-126, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2022. Accepted for publication in plos one.


7. Vandenberghe A., Wamba Momo L.N., Scheltjens V., De Moor B., "Multimodal Deep Learning for Early Length of Stay Prediction using Patient Similarity Embeddings", Internal Report 22-98, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2022. BNAIC/BeNeLearn.


8. Wamba Momo L.N., Moorosib N., Nsoesiec E.O., Rademakers F., De Moor B., "Length of Stay prediction for Hospital Management using Domain Adaptation", Internal Report 22-85, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2022. Engineering Applications of Artificial Intelligence, 133 (2024): 108088..


9. El Aalamat Y., O D., Peterse D., De Moor B., Tomassetti C., Peeraer K., Meuleman C., Waelkens E., Fassbender A., D'Hooghe T., "Investigation of the robustness and predictive power of three biomarker panels for diagnosing endometriosis", Internal Report 17-115, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in Gynecologic and Obstetric Investigation Journal, 2017.


10. El Aalamat Y., O D., Peterse D., De Moor B., Tomassetti C., Peeraer K., Meuleman C., Waelkens E., Fassbender A., D’Hooghe T., "External technical confirmation of panels of plasma biomarkers for endometriosis", Internal Report 16-95, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2016. Accepted for publication in Reproductive BioMedicine Online.


11. Sheng Q., Thijs G., Moreau Y., and De Moor B., "Applications of Gibbs sampling in bioinformatics", Internal Report 05-65, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2005. Accepted for publication in Optimization methods and software.


12. Audenaert K., Verstraete F., De Bie T., De Moor B., "Negativity and Concurrence of mixed 2x2 states", Internal Report 00-133, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2000. Poster Presented at QIP2001, Jan. 9-12, 2001.

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