Books

  1. 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.

Edited Books

  1. De Brabanter K., De Brabanter J., Gijbels I., Van Impe J., Vandewalle J., (eds.), Workshop on Modern Nonparametric Methods for Time Series, Reliability & Optimization, Book of Abstracts, KU Leuven (Leuven, Belgium), 2012, 28 p.

Contributions to books

  1. 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.

  2. 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.

International Journal Papers

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Amant F., Dorfling C.M., De Brabanter J., Vandewalle J., Vergote I., Lindeque B.G., van Rensburg E.J., "A possible role of the cytochrome P450c17-alpha gene (CYP17) polymorphism in the pathobiology of uterine leiomyomas from black south african women : a polot study", Acta Obstetricia et Gynecologica Scandinavica, vol. 83, 2004, pp. 234-239.

  15. 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.

  16. Van den Bosch T., Van Schoubroeck D., Lu C., De Brabanter J., Van Huffel S., Timmerman D., "Color Doppler and Gray-Scale Ultrasound Evaluation of the Postpartum uterus", Ultrasound Obstet. Gynecol., vol. 20, 2002, pp. 586-591.

  17. Van Den Bosch T., Van Schoubroeck D., Ameye L., De Brabanter J., Van Huffel S., Timmerman D., "Ultrasound assessment of endometrial thickness and endometrial polyps in women on hormonal replacement therapy", American Journal of Obstetrics and Gynecology, vol. 188, no. 5, 2003, pp. 1249-1253.

  18. 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.

  19. Van den Bosch T., Van Schoubroeck D., Lu C., De Brabanter J., Van Huffel S., Timmerman D., "Color Doppler and gray-scale ultrasound evaluation of the postpartum uterus", Ultrasound in Obstetrics and Gynecology, vol. 20, no. 6, Dec. 2002, pp. 586-591.

  20. Van den Bosch T., Donders G., Riphagen I., Debois P., Ameye L., De Brabanter J., Van Huffel S., Van Schoubroeck D., Timmerman D., "Ultrasonographic features of the endometrium and the ovaries in women on etonogestrel implant", Ultrasound Obstet. Gynecol., vol. 20, 2002, pp. 377-380.

  21. Van Den Bosch T., Van Schoubroeck D., Ameye L., De Brabanter J., Van Huffel S., Timmerman D., "The influence of hormone replacement therapy on the ultrasound features of the endometrium : a prospective study", European Journal of Cancer, vol. 38, no. 6, 2002, pp. S78-S79.

  22. 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.

  23. Vergote I., Timmerman D., De Brabanter J., Fyles A. Trope C.G., "Cyst rupture during surgery", Lancet, no. 358, Jul. 2001, pp. 72-73.

  24. Timmerman D., Deprest J., Verbesselt R., Moerman P., De Brabanter J., Vergote I, "Absence of correlation between risk factors for endometrial cancer and the presence of tamoxifen-associated endometrial polyps in postmenopausal patients with breast cancer", European Journal of Cancer, vol. 36, Jan. 2000, pp. S39-S41.

  25. Vergote I., De Brabanter J., Fyles A., Bertelsen K., Einhorn N., Sevelda P., Gore M.E., Karn J., Verrelst H., Sjovall K., Timmerman D., Vandewalle J., Van Gramberen M., Trope C.G., "Prognostic factors in 1545 patients with stage I invasive epithelial ovarium carcinoma : Importance of degree of differential and cyst rupture in predicting relapse", The Lancet, vol. 357, Jan. 2001, pp. 176-182.

  26. Suykens J.A.K., De Brabanter J., Lukas L., Vandewalle J., "Weighted least squares support vector machines : robustness and sparse approximation", Neurocomputing, Special issue on fundamental and information processing aspects of neurocomputing, vol. 48, no. 1-4, Oct. 2002, pp. 85-105.

  27. De Brabanter J., Vergote I., Verrelst H., Timmerman D., Van Huffel S., Vandewalle J., "Univariate and multivariate regression analyses : some basic statistical principles", CME J. Gynecol. Oncol., no. 4, Nov. 1999, pp. 262-270.

International Conference Papers

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. Karsmakers P., Leroux P., De Brabanter J., Suykens J.A.K., "Least Squares Support Vector Machines for Modelling Electronic Devices", in Proc. of the European Conference on the Use of Modern Information and Communication Technologies (ECUMICT), Ghent, Belgium, Mar. 2008, pp. 1-4.

  15. Devos A., Bergans N., Dresselaers T., De Brabanter J., Sima D., Vanhamme L., Vanstapel F., Van Hecke P., Van Huffel S., "Model order selection for quantification of a multi-exponential magnetic resonance spectrum", in Proc. of the IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2006), New York, Aug.-Sep. 2006, pp. 1299-1302.

  16. 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.

  17. 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.

  18. 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. .

  19. 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.

  20. 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. .

  21. Ameye L., De Brabanter J., Suykens J.A.K., Cadron I., Devlieger R., Timmerman D., Spitz B., Van Huffel S., "Predictive Models for Long Term Survival after Premature Rupture of Membranes", in Proc. of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference (IEEE-EMB), Shanghai, China, Sep. 2005, pp. 572-575.

  22. 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.

  23. 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.

  24. 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. .

  25. Timmerman D., De Smet F., De Brabanter J., Van Holsbeke C., Jermy K., Moreau Y., Bourne T., Vergote I., "OC118 : Mathematical models to evaluate ovarian masses - can they beat an expert operator ?", in Ultrasound Obstet Gynecol, 22(Suppl 1) (13th World Congress on Ultrasound in Obstetrics & Gynecology), Paris, France, Aug.-Sep. 2003, pp. 33.

  26. 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.

  27. 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.

  28. Ameye L., Van Huffel S., De Brabanter J., Suykens J.A.K., Spitz B., Cadron I., Devlieger R., Timmerman D., "Study of rupture of membranes before 26 weeks of gestation", in Proc. of the 2nd European Medical and Biological Engineering Conference (EMBEC'02), Vienna, Austria, Dec. 2002, pp. 760-761.

  29. Devos A., Bergans N., De Brabanter J., Vanhamme L., Vanstapel F., Van Hecke P., Van Huffel S., "Model selection for quantification of a multi-exponential MRS signal", in Proc. of the 2nd European Medical and Biological Engineering Conference (EMBEC'02), Vienna, Austria, Dec. 2002, pp. 1066-1067.

  30. De Brabanter J., Pelckmans K., Suykens J.A.K., Vandewalle J., "Robust cross-validation score function for non-linear function estimation", in Proc. of the International Conference on Artificial Neural Networks (ICANN 2002), Madrid, Spain, Aug. 2002, pp. 713-719.

  31. Ameye L., Lu C., Lukas L., De Brabanter J., Suykens J.A.K., Van Huffel S., Daniels H., Naulaers G., Devlieger H., "Prediction of mental development of preterm newborns at birth time using LS-SVM", in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2002), Bruges, Belgium, Apr. 2002, pp. 167-172.

  32. Lu C., De Brabanter J., Van Huffel S., Vergote I., Timmerman D., "Using Artificial Neural Networks to Predict Malignancy of Ovarian Cancers", in Proc. of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2001), Istanbull, Turkey, Oct. 2001, pp. CD-ROM.

  33. 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.

  34. 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.

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.

Ph.D.-theses

  1. De Brabanter J., LS-SVM regression modelling and its applications, PhD thesis, Faculty of Engineering, KU Leuven (Leuven, Belgium), Jun. 2004, 243 p.

Internal Reports

  1. De Brabanter K., De Brabanter J., "Robustness by Reweighting for Kernel Estimators An overview", Internal Report 20-146, ESAT-SISTA, KU Leuven (Leuven, Belgium), 2020. Accepted for publication in Statisticial Science, Oct. 2020.

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