[STADIUS] [Department of Electrical Engineering (ESAT)] [Faculty of Engineering] [KU Leuven]

STADIUS's Publications: Search Result


Publications

Some publications are available by Anonymous FTP. You can get a (p)re-print of all the publications you want by sending e-mail to our secretary.

Search result

Your search parameters are:
Authors
  • Suykens
Topics
Whole Categories
Individual Topics
  • support vector machines
98-29
Suykens J.A.K., Vandewalle J., (eds.), Nonlinear Modeling: advanced black-box techniques, Kluwer Academic Publishers, 1998, 256 p., Lirias number: 179175.
98-71
Suykens J.A.K., Vandewalle J., ``Training multilayer perceptron classifiers based on a modified support vector method'', IEEE Transactions on Neural Networks, vol. 10, no. 4, Jul. 1999, pp. 907-911., Lirias number: 218714.
98-72
Suykens J.A.K., Vandewalle J., ``Least squares support vector machine classifiers'', Neural Processing Letters, vol. 9, no. 3, Jun. 1999, pp. 293-300., Lirias number: 218716.
98-86
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., Lirias number: 269556.
98-87
Suykens J.A.K., Vandewalle J., ``Chaos control using least squares support vector machines'', International Journal of Circuit Theory and Applications, Special Issue on Communications, Information Processing and Control using Chaos, vol. 27, no. 6, Nov. 1999, pp. 605-615., Lirias number: 218719.
98-99
Suykens J.A.K., Vandewalle J., ``Recurrent least squares support vector machines'', IEEE Transactions on Circuits and Systems-I, vol. 47, no. 7, Jul. 2000, pp. 1109-1114., Lirias number: 218755.
98-115
Suykens J.A.K., Vandewalle J., ``Multiclass Least Squares Support Vector Machines'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'99), Washington DC, USA, Jul. 1999, pp. CD-rom., Lirias number: 179133.
99-14
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., Lirias number: 179107.
99-75
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., Lirias number: 178970.
99-84
Suykens J.A.K., Lukas L., Vandewalle J., ``Sparse approximation using least squares support vector machines'', in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS 2000), Geneva, Switzerland, May 2000, pp. II757-II760., Lirias number: 178964.
99-99
Suykens J.A.K., Lukas L., Vandewalle J., ``Sparse Least Squares Support Vector Machine Classifiers'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN'2000), Bruges, Belgium, 2000, pp. 37-42., Lirias number: 178951.
00-03
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., Lirias number: 178940.
00-07
Suykens J.A.K., ``Least squares support vector machines for classification and nonlinear modelling'', Neural Network World, Special Issue on PASE 2000, vol. 10, no. 1-2, Jan. 2000, pp. 29-48., Lirias number: 178937.
00-33
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., Lirias number: 178916.
00-37
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., Lirias number: 73836.
00-47
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., Lirias number: 178785.
00-52
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., Lirias number: 178782.
00-65
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., Lirias number: 70607.
00-79
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., Lirias number: 37858.
00-103
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., Lirias number: 72092.
00-112
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., Lirias number: 178686.
00-117
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., Lirias number: 47013.
00-144
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., Lirias number: 71106.
01-06
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., Lirias number: 209700.
01-07
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., Lirias number: 178685.
01-18
Suykens J.A.K., ``Nonlinear modelling and support vector machines'', in Proc. of the IEEE International Conference on Instrumentation and Measurement Technology (IEEE-IMTC 2001 State-of-the-Art lecture), Budapest, Hungary, May 2001, pp. 287-294., Lirias number: 178669.
01-24
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., Lirias number: 47436.
01-28
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., Lirias number: 178492.
01-42
Suykens J.A.K., ``Support Vector Machines : a nonlinear modelling and control perspective'', European Journal of Control, Special Issue on fundamental issues in control, vol. 7, no. 2-3, Aug. 2001, pp. 311-327., Lirias number: 182428.
01-71
Lukas L., Suykens J.A.K., Vandewalle J., ``Least squares support vector machines classifiers : a multi two-spiral benchmark problem'', in Proc. of the Indonesian Student Scientific Meeting (ISSM 2001), Manchester, United Kingdom, Aug. 2001, pp. 289-292., Lirias number: 182411.
01-110
Hamers B., Suykens J.A.K., De Moor B., ``A comparison of iterative methods for least squares support vector machine classifiers'', Internal Report 01-110, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2001., Lirias number: 73035.
01-113
Suykens J.A.K., Vandewalle J., ``On the difference between recurrent LS-SVM and parameterized recurrent kernel models'', Internal Report 01-113, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2001., Lirias number: 195011.
01-121
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., Lirias number: 182347.
01-122
Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A., Majos C., Arus C., ``The use of LS-SVM in the classification of brain tumors based on magnetic resonance spectroscopy signals'', in Proc. of the European Symposium Artificial Neural Networks (ESANN'2002), Bruges, Belgium, Apr. 2002, pp. 131-136., Lirias number: 182346.
01-133
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., Lirias number: 182329.
02-44
Pelckmans K., Suykens J.A.K., Van Gestel T., De Brabanter J., Lukas L., Hamers B., DE Moor B., Vandewalle J., ``LS-SVMlab : a Matlab/C toolbox for Least Squares Support Vector Machines'', Internal Report 02-44, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002., Lirias number: 21472.
02-46
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., Lirias number: 72003.
02-50
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., Lirias number: 182118.
02-55
Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergote I., Timmerman D., ``Preoperative prediction of malignancy of ovarium tumor using least squares support vector machines'', Artificial Intelligence in Medicine, vol. 28, no. 3, Jul. 2003, pp. 281-306., Lirias number: 21371.
02-68
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., Lirias number: 74086.
02-94
De Brabanter J., Pelckmans K., Suykens J.A.K., Vandewalle J., De Moor B., ``Robust cross-validation score function for LS-SVM non-linear function estimation'', Internal Report 02-94, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002., Lirias number: 21195.
02-105
Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergrote I., Timmerman D., ``Bayesian Least Squares Support Vector Machines for Classification of Ovarian Tumors'', in Proc. of the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004., Lirias number: 182060.
02-108
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., Lirias number: 182059.
02-112
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., Lirias number: 118391.
02-132
Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A.R., Majos C., Arus C., ``The use of LS-SVM in the classification of brain tumors base on 1H-MR spectroscopy signals'', in Proceedings of IEE Workshop 'Medical Applications of Signal Processing', Savoy Place, London, UK, Oct. 7, 2002, pp. 15/1-15/5., Lirias number: 181773.
02-145
Pelckmans K., Suykens J.A.K., Van Gestel T., De Brabanter J., Lukas L., Hamers B., De Moor B., Vandewalle J., ``LS-SVMlab Toolbox User's Guide'', Internal Report 02-145, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002., Lirias number: 181766.
02-151
Van Gestel T., Espinoza M., Suykens J.A.K., Brasseur C., De Moor B., ``Bayesian Nonlinear Kernel Based Stock Market Prediction'', Internal Report 02-151, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2002., Lirias number: 181762.
02-152
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., Lirias number: 181761.
02-193
Lu C., Van Gestel T., Suykens J.A.K., Van Huffel S., Vergote I., Timmerman D., ``Classification of ovarian tumor using Bayesian least squares support vector machines'', in Artificial Intelligence in Medicine, (Dojat M., Keravnou E., and Barahona P., eds.), Proc. of the 9th Conference on Artificial Intelligence in Medicine in Europe (AIME 2003), Protaras, Cyprus, October 2003, vol. 2780 of Lecture Notes in Artificial Intelligence, Springer-Verlag, 2003, pp. 219-228., Lirias number: 181734.
02-199
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., Lirias number: 181729.
02-200
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., Lirias number: 181728.
02-213
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., Lirias number: 181721.
03-08
Baesens B., Van Gestel T., Viaene S., Stepanove M., Suykens J.A.K., Vanthienen J., ``Benchmarking state of the art classification algorithms for credit scoring'', Journal of the Operational Research Society, vol. 54, no. 6, Jun. 2003, pp. 627-635., Lirias number: 71719.
03-12
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., Lirias number: 181460.
03-16
Suykens J.A.K., Horvath G., Basu S., Micchelli C., Vandewalle J., (eds.), Advances in Learning Theory : Methods, Models and Applications, vol. 190 of NATO-ASI Series III : Computer and Systems Sciences, IOS Press (Amsterdam, The Netherlands), (ISBN 1-58603-341-7), 2003, 436 p., Lirias number: 181454.
03-17
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., Lirias number: 181452.
03-18
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., Lirias number: 181450.
03-79
Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Tate A.R., Arus C., Van Huffel S., ``Brain Tumour Classification based on long echo proton MRS signals'', Artificial Intelligence in Medicine, vol. 31, 2004, pp. 73-89., Lirias number: 71417.
03-80
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., Lirias number: 181356.
03-92
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., Lirias number: 181339.
03-122
Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Tate A.R., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Arus C., Van Huffel S., ``Classification of brain tumours using short echo time 1H MRS spectra'', Journal of Magnetic Resonance, vol. 170 , no. 1, Sep. 2004, pp. 164-175., Lirias number: 73559.
03-171
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., Lirias number: 72676.
03-172
Hamers B., Suykens J.A.K., De Moor B., ``Coupled Transductive Ensemble Learning of Kernel Models'', Internal Report 03-172, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2003., Lirias number: 72676.
03-176
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., Lirias number: 12131.
03-181
Devos A., Simonetti A.W., van der Graaf M., Lukas L., Suykens J.A.K., Vanhamme L., Buydens L.M.C., Heerschap A., Van Huffel S., ``The use of multivariate MR Imaging Intensities versus metabolic data from MR Spectroscopic Imaging for MR spectroscopic imaging for brain tumour classification'', Journal of Magnetic Resonance, vol. 173, no. 2, Apr. 2005, pp. 218-228., Lirias number: 73849.
03-184
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., Lirias number: 71003.
03-188
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., Lirias number: 181032.
04-04
Cadron I., Spitz B., Devlieger R., Ameye L., Van Huffel S., De Brabanter J., Suykens J.A.K., Timmerman D., ``Can we predict survival in cases of Preterm prelabor rupture of the membranes (PPROM) before 26 weeks of gestation ?'', Internal Report 04-04, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004., Lirias number: x.
04-12
Lu C., Suykens J.A.K., Timmerman D., Vergote I., Van Huffel S., ``Linear and Nonlinear Preoperative Classification of Ovarian Tumors'', in Chapter 11 of Knowledge Based Intelligent System for Health Care, (Ichimura T. and Yoshida K. , ed.), vol. 7 of International Series on Advanced Intelligence, Advanced Knowledge International (Magill, Australia), 2004, pp. 343-382., Lirias number: 181000.
04-17
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., Lirias number: 180990.
04-30
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., Lirias number: 180972.
04-31
Hoegaerts L., De Lathauwer L., Suykens J.A.K., Vandewalle J., ``Efficiently updating and tracking the dominant Kernel Eigenspace'', in Proc. of the the 16th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, Jul. 2004., Lirias number: 180970.
04-38
De Brabanter J., Pelckmans K., Suykens J.A.K., De Moor B., Vandewalle J., ``Robust statistics for Kernel Based NARX Modeling'', Internal Report 04-38, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004., Lirias number: 180959.
04-39
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., Lirias number: 180958.
04-40
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., Lirias number: 180956.
04-41
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., Lirias number: 47852.
04-45
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., Lirias number: 72243.
04-57
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., Lirias number: 180686.
04-75
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., Lirias number: 180657.
04-76
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. ., Lirias number: 180655.
04-88
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., Lirias number: 71636.
04-91
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., Lirias number: 180628.
04-99
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., Lirias number: 180615.
04-108
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., Lirias number: 46647.
04-109
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. ., Lirias number: 180598.
04-110
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., Lirias number: 70714.
04-114
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., Lirias number: 70730.
04-116
Ameye L., De Brabanter J., Suykens J.A.K., Cadron I., Devlieger R., Timmerman D., Spitz B., Van Huffel S., ``Predictive models for survival after premature rupture of membranes'', Internal Report 04-116, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004., Lirias number: x.
04-129
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., Lirias number: 180580.
04-130
Van Gestel T., Baesens B.M., Van Dijcke P., Garcia J., Suykens J.A.K., Vanthienen J., ``A process model to develop an internal rating system: sovereign credit ratings'', Internal Report 04-130, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2004., Lirias number: 180580.
04-140
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., Lirias number: 71910.
04-176
Lu C., Devos A., Suykens J.A.K., Arus C., Van Huffel S., ``Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis'', IEEE Transactions on information technology in biomedicine, vol. 11, no. 3, May 2007, pp. 338-347., Lirias number: 70579.
04-195
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., Lirias number: 11835.
05-01
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., Lirias number: 70922.
05-02
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 Tutorial - a MicroArray Classification BEnchmarking Tool on a Host server'', Internal Report 05-02, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005., Lirias number: x.
05-19
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., Lirias number: 74096.
05-26
Alzate C., Suykens J.A.K., ``Extending Kernel Principal Component Analysis to General Underlying Loss Functions'', in Proc. of the International Joint Conference on Neural Networks (IJCNN'05), Montr?al, Canada, Jul. 2005, pp. 214-219., Lirias number: 181873.
05-45
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., Lirias number: 181702.
05-46
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., Lirias number: 181701.
05-48
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. ., Lirias number: 181700.
05-62
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. ., Lirias number: 73616.
05-76
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., Lirias number: 181677.
05-77
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., Lirias number: 45625.
05-111
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. ., Lirias number: 181608.
05-136
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., Lirias number: 181566.
05-139
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., Lirias number: 181561.
05-141
Pelckmans K., Suykens J.A.K., De Moor B., ``Selection amongst Alternative Variables in Regression Analysis'', Internal Report 05-141, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005., Lirias number: x.
05-177
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., Lirias number: 181303.
05-205
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., Lirias number: 181277.
05-206
Espinoza M., Suykens J.A.K., De Moor B., ``Structured Kernel Based Modeling: An Exploration in Short-Term Load Forecasting'', Internal Report 05-206, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005., Lirias number: x.
05-216
Pelckmans K., Suykens J.A.K., De Moor B., ``A Convex Approach to Learning the Ridge based on CV'', Internal Report 05-216, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005., Lirias number: x.
05-226
Pelckmans K., Suykens J.A.K., De Moor B., ``Clustering and Staircases'', in NIPS 2005 workshop on Theoretical Foundations on Clustering, 2 p., Lirias number: 181254.
05-244
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. ., Lirias number: 181231.
05-245
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., Lirias number: 181229.
05-246
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., Lirias number: 181227.
05-247
Taher H.M, Schreurs D., Suykens J.A.K., Nauwelaers B., ``Extraction of Small Signal Equivalent Circuit Model Parameters for Statistical Modeling of HBT using Least Squares Support Vector Machines'', Internal Report 05-247, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2005., Lirias number: x.
06-03
Alzate C., Suykens J.A.K., ``Kernel Component Analysis using an Epsilon Insensitive Robust Loss Function'', IEEE Transactions on Neural Networks, vol. 19, no. 9, Sep. 2008, pp. 1583-1598., Lirias number: 219311.
06-17
Alzate C., Suykens J.A.K., ``A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods'', in Proc. of the 2006 International Joint Conference on Neural Networks (IJCNN'06), Vancouver, Canada, Jul. 2006, pp. 138-144., Lirias number: 181190.
06-48
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., Lirias number: 72576.
06-49
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., Lirias number: 239317.
06-68
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., Lirias number: 180912.
06-84
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., Lirias number: 180893.
06-96
Van Calster B., Timmerman D., Lu C., Suykens J.A.K., Valentin L., Van Holsbeke C., Amant F., Vergote I., Van Huffel S., ``Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods'', Ultrasound in Obstetrics and Gynecology, vol. 29, no. 5, May 2007, pp. 496-504., Lirias number: 72115.
06-105
Pelckmans K., De Brabanter J., Suykens J.A.K., De Moor B., ``Risk Scores, Empirical Z-estimators and its application to Censored Regression'', Internal Report 06-105, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006., Lirias number: x.
06-136
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., Lirias number: 180790.
06-137a
Pochet N.L.M.M., Suykens J.A.K., ``Support vector machines versus logistic regression: improving prospective performance in clinical decision-making'', Ultrasound in Obstetrics & Gynecology, Opinion, vol. 27, no. 6, Jun. 2006, pp. 607-608., Lirias number: 180788.
06-150
Debruyne M., Christmann A., Hubert M., Suykens J.A.K., ``Robustness of reweighted least squares kernel based regression'', Journal of Multivariate Analysis, vol. 101, no. 2, Feb. 2010, pp. 447-463., Lirias number: 213381.
06-168
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., Lirias number: 180528.
06-180
Pelckmans K., Suykens J.A.K., De Moor B., ``Robust Inference for Empirical Graphs: A Compression Approach'', Internal Report 06-180, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2006., Lirias number: x.
06-181
Alzate C., Suykens J.A.K., ``Image Segmentation using a Weighted Kernel PCA Approach to Spectral Clustering'', in Proc. of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007), Honolulu, U.S.A., Apr. 2007, pp. 208-213., Lirias number: 180522.
07-06
Pelckmans K., Suykens J.A.K., De Moor B., ``Transductive Learning over Graphs: Incremental Assessment'', Internal Report 07-06, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007., Lirias number: x.
07-22
Suykens J.A.K., ``Data Visualization and Dimensionality Reduction using Kernel Maps with a Reference Point'', IEEE Transactions on Neural Networks, vol. 19, no. 9, Sep. 2008, pp. 1501-1517., Lirias number: 219312.
07-26
Luts J., Heerschap A., Suykens J.A.K., Van Huffel S., ``A combined MRI and MRSI based Multiclass System for Brain Tumour Recognition using LS-SVMs with Class Probabilities and Feature Selection'', Artificial Intelligence in Medicine, vol. 40, no. 2, Jun. 2007, pp. 87-102., Lirias number: 71620.
07-35
Pelckmans K., Suykens J.A.K., De Moor B., ``Predictive Modeling of Failure Time Data'', Internal Report 07-35, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007., Lirias number: x.
07-37
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., Lirias number: 219183.
07-38
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., Lirias number: 180398.
07-40
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., Lirias number: 180394.
07-47
Alzate C., Suykens J.A.K., ``ICA Through an LS-SVM Based Kernel CCA Measure for Independence'', in Proc. of the 2007 International Joint Conference on Neural Networks (IJCNN 2007), Orlando, FL. U.S.A., Aug. 2007, pp. 2920-2925., Lirias number: 180390.
07-50
Debruyne M., Hubert M., Suykens J.A.K., ``Model Selection in Kernel Based Regression using the Influence Function'', Journal of Machine Learning Research, vol. 9, Oct. 2008, pp. 2377-2400., Lirias number: 200555.
07-68
Pelckmans K., Suykens J.A.K., ``topranking: predicting the most relevant element of a set'', in Proc. of the 1st IAPR Workshop on Cognitive Information Processing (CIP 2008), Greece, Santorini, Jun. 2008., Lirias number: 219314.
07-70
Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Support vector machines for survival analysis'', in Proc.of the Third International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2007), Plymouth, England, Jul. 2007., Lirias number: 180278.
07-83
Van Calster B., Luts J., Suykens J.A.K., Condous G., Bourne T., Timmerman D., Van Huffel S., ``Comparing methods for multi-class probabilities in medical decision making using LS-SVMs and kernel logistic regression'', in Artificial neural networks - ICANN 2007, (Marques de Sa J., Alexandre L.A., Duch W., and Mandic D., eds.), Proc. of the 17th International Conference on Artificial Neural Networks, Porto (Portugal), 9-13 September 2007, vol. 4669 of Lecture Notes in Computer Science, Springer, 2007, pp. 139-148., Lirias number: 180266.
07-85
Suykens J.A.K., ``Kernel Methods'', in Chapter in Comprehensive Chemometrics, volume 3, (Brown S., Tauler R., and Walczak R., eds.), Elsevier, 2009, pp. 437-451., Lirias number: 233010.
07-122
Luts J., Suykens J.A.K., Van Huffel S., ``Semi-supervised learning: avoiding zero label assumptions in kernel based classifiers'', Internal Report 07-122, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007., Lirias number: x.
07-124
Pelckmans K., Suykens J.A.K., De Moor B., ``Transductive Rademacher Complexities for Learning over a Graph'', Internal Report 07-124, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2007., Lirias number: 242290.
07-149
Alzate C., Suykens J. A. K., ``A Regularized Kernel CCA Contrast Function for ICA'', Neural Networks, Special Issue on Advances in Neural Networks Research: IJCNN 07, vol. 21, no. 2-3, Mar.-Apr. 2008, pp. 170-181., Lirias number: 180041.
07-158
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., Lirias number: 180033.
07-199
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., Lirias number: 201530.
07-213
Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Survival SVM: a Practical Scalable Algorithm'', in Proc. of the 16th European Symposium on Artificial Neural Networks (ESANN2008), Bruges, Belgium, Apr. 2008, pp. 89-94., Lirias number: 219316.
07-229
Alzate C., Suykens J. A. K., ``Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 2, Feb. 2010, pp. 335-347., Lirias number: 242253.
07-231
Alzate C., Suykens J. A. K., ``Sparse Kernel Models for Spectral Clustering Using the Incomplete Cholesky Decomposition'', in Proc. of the 2008 International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, China, Jun. 2008, pp. 3555-3562., Lirias number: 219317.
08-16
Pelckmans K., Van Belle V., Van Huffel S., Suykens J.A.K., ``Learning Transformation Models for Failure Time Data'', Internal Report 08-16, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008., Lirias number: 242410.
08-24
Signoretto M., Pelckmans K., Suykens J.A.K., ``Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation'', in Proc. of the 18th International Conference on Artificial Neural Networks (ICANN), Prague, Czech Republic, Sep. 2008., Lirias number: 219320.
08-38
Falck T., Espinoza M., Suykens J.A.K., De Moor B., ``A Perturbation Analysis using Second Order Cone Programming for Robust Kernel Based Regression'', Internal Report 08-38, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008., Lirias number: 242636.
08-52
Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of the brain: segmentation and classification using MRI and MRSI'', NMR in Biomedicine, vol. 22, no. 4, May 2009, pp. 374-390., Lirias number: 197125.
08-90
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., Lirias number: 219324.
08-136
Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Additive survival least squares support vector machines'', Statistics in Medicine, vol. 29, no. 2, Jan. 2010, pp. 296 - 308., Lirias number: 242406.
08-193
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., Lirias number: 242622.
08-196
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., Lirias number: 239320.
08-201
Pelckmans K., Van Belle V., Van Huffel S., Suykens J.A.K., ``Learning Lipschitz-smooth Utility Functions for Transformation Models in Ranking Problems'', Internal Report 08-201, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008., Lirias number: 242626.
08-202
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., Lirias number: 239321.
08-203
Signoretto M., Pelckmans K., Suykens J.A.K., ``Functional ANOVA Models: Convex-concave approach and concurvity analysis'', Internal Report 08-203, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2008., Lirias number: 242627.
08-212
Pelckmans K., Suykens J.A.K., ``Transductively Learning from Positive Examples Only'', in Proc. of the European Symposium on Artificial Neural Networks (esann 2009), Bruges, Belgium, Mar. 2009, pp. 23-28., Lirias number: 235860.
08-242a
Pelckmans K., Suykens J.A.K., ``LPRankBoost and Column Generation'', in Proc. of the International Conference/Euro Mini Conference on Continuous Optimization and Knowledge-Based Technologies (EurOPT 2008) (EurOPT 2008), Neringa, Lithuania, Jun. 2008, pp. 165-169., Lirias number: 235868.
09-07
Alzate C., Suykens J.A.K., ``A Regularized Formulation for Spectral Clustering with Pairwise Constraints'', in Proc. of the 2009 International Joint Conference on Neural Networks (IJCNN'09), Atlanta, U.S.A, Jun. 2009, pp. 141-148., Lirias number: 239322.
09-20
Suykens J.A.K., ``Extending Newton's law from nonlocal-in-time kinetic energy'', Physics Letters A, vol. 373, no. 14, Mar. 2009, pp. 1201-1211., Lirias number: 223995.
09-46
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., Lirias number: 242207.
09-54
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., Lirias number: 243264.
09-59
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., Lirias number: 243265.
09-72
Luts J., Laudadio T., Martinez-Bisbal M.C., Van Cauter S., Molla E., Piquer J., Suykens J.A.K., Himmelreich U., Celda B., Van Huffel S., ``Differentiation between brain metastases and glioblastoma multiforme based on MRI, MRS and MRSI'', in Proc. of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Albuquerque, New Mexico, Aug. 2009, pp. 1-8., Lirias number: 257975.
09-135
Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``Learning Transformation Models for Ranking and Survival Analysis'', Journal of Machine Learning Research, vol. 12, Mar. 2011, pp. 819-862., Lirias number: 243102.
09-143
Suykens J.A.K., Alzate C., Pelckmans K., ``Primal and dual model representations in kernel-based learning'', Statistics Surveys, DOI: 10.1214/09-SS052, vol. 4, Aug. 2010, pp. 148-183., Lirias number: 243105.
09-179
Lopez J., Suykens J.A.K., ``First and Second Order SMO Algorithms for LS-SVM Classifiers'', Neural Processing Letters, vol. 33, no. 1, Feb. 2011, pp. 31-44., Lirias number: 285901.
09-198
Combaz A., Manyakov N.V., Chumerin N., Suykens J.A.K., Van Hulle M.M., ``Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling'', in Proc. of the 2009 International Conference on Machine Learning and Applications (ICMLA 2009), Miami Beach Florida, US, Dec. 2009, pp. 386-391., Lirias number: 247060.
09-216
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., Lirias number: 248316.
09-222
Alzate C., Janssens F., Glanzel W., Suykens J.A.K., De Moor B., ``Kernel Spectral Clustering of Scientific Journals Using a Data Integration Scheme'', Internal Report 09-222, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2009., Lirias number: x.
09-228
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., Lirias number: 265004.
09-233
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., Lirias number: 257916.
09-236
Van Belle V., Pelckmans K., Suykens J.A.K., Van Huffel S., ``On the use of a clinical kernel in survival analysis'', in Proc. of the European Symposium on Artificial Neural Networks (esann2010) (ESANN2010)}, Bruges, Belgium, Apr. 2010, pp. 451-456., Lirias number: 260585.
09-239
Alzate C., Suykens J.A.K., ``Highly Sparse Kernel Spectral Clustering with Predictive Out-of-Sample Extensions'', in Proc. of the 18th European Symposium on Artificial Neural Networks (ESANN 2010), Bruges, Belgium, Apr. 2010, pp. 235-240., Lirias number: 259546.
10-02
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., Lirias number: 265003.
10-03
Falck T., Signoretto M., Suykens J.A.K., De Moor B., ``A two stage algorithm for kernel based partially linear modeling with orthogonality constraints'', Internal Report 10-03, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010., Lirias number: x.
10-54
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., Lirias number: 271090.
10-59
Van Belle V., Pelckmans K., Van Huffel S., Suykens J.A.K., ``Improved Performance on High-Dimensional Survival Data using Survival-SVM'', Bioinformatics, vol. 27, no. 1, Jan. 2011, pp. 87-94., Lirias number: 282330.
10-63
Karsmakers P., Pelckmans K., De Brabanter K., Van hamme H., Suykens J.A.K., ``Sparse Conjugate Directions Pursuit with Application to Fixed-size Kernel Models'', Machine Learning, Special Issue on Model Selection and Optimization in Machine Learning, vol. 85, no. 1, Oct. 2011, pp. 109-148., Lirias number: 310163.
10-82
Geebelen D., Suykens J.A.K., Vandewalle J., ``Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation'', IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 4, Apr. 2012, pp. 682 - 688., Lirias number: 344637.
10-91
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., Lirias number: 265010.
10-94
Daemen A., Gevaert O., Ojeda F., Suykens J.A.K., De Moor B., ``HI-DID-IT: a HIgh-Dimensional Data Integration Toolbox for clinical applications'', Internal Report 10-94, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010., Lirias number: x.
10-99
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., Lirias number: 278765.
10-143
Luts J., Laudadio T., Idema A.J., Simonetti A.W., Heerschap A., Vandermeulen D., Suykens J.A.K., Van Huffel S., ``Nosologic imaging of brain tumors using MRI and MRSI'', in Chapter 16 Brain tumors (part 1), (Hayat M.A., ed.), vol. 3 of mph{Tumors of the central nervous system}, Springer, 2011, pp. 155-168., Lirias number: 313010.
10-144
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., Lirias number: 271463.
10-146
De Brabanter K., Karsmakers P., Ojeda F., Alzate C., De Brabanter J., Pelckmans K., De Moor B., Vandewalle J., Suykens J.A.K., ``LS-SVMlab Toolbox User's Guide version 1.8'', Internal Report 10-146, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2010., Lirias number: x.
10-156
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., Lirias number: 278843.
10-159
Alzate C., Suykens J.A.K., ``Sparse Kernel Spectral Clustering Models for Large-Scale Data Analysis'', Neurocomputing, Special Issue on Advances in Artificial Neural Networks, Machine Learning and Computational Intelligence (ESANN 2010), vol. 74, no. 9, Apr. 2011, pp. 1382-1390., Lirias number: 291702.
10-170
Van Belle V.M.C.A., Van Calster B., Timmerman D., Bourne T., Bottomley C., Valentin L., Neven P., Van Huffel S., Suykens J.A.K., Boyd S., ``A Mathematical Model for Interpretable Clinical Decision Support with Applications in Gynecology'', PLoS ONE, vol. 7, no. 3, Mar. 2012, pp. 1-10., Lirias number: 344645.
10-230
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., Lirias number: 298604.
10-240
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., Lirias number: 326690.
10-250
Geebelen D., Geebelen K., Truyen E., Michiels S., Suykens J.A.K., Vandewalle J., Joosen W., ``QoS Prediction for web service compositions using kernel-based quantile estimation with online adaptation of the constant offset'', Information Sciences, vol. 268, no. *, 2014, pp. 397-424., Lirias number: 447162.
10-255
Lopez J., De Brabanter K., Dorronsoro J.R., Suykens J.A.K, ``Sparse LS-SVMs with L0-Norm Minimization'', in Proc. of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, Apr. 2011, pp. 189-194., Lirias number: 294623.
10-257
Mehrkanoon S., Jiang L., Alzate C., Suykens J.A.K., ``Symbolic computing of LS-SVM based models'', in Proc. of the 19th European Symposium on Artificial Neural Networks (ESANN 2011), Bruges, Belgium, Apr. 2011, pp. 183-188., Lirias number: 294624.
11-01
Varon C., Alzate C., Suykens J.A.K., Debosscher J., ``Kernel Spectral Clustering of Time Series in the CoRoT Exoplanet Database'', Astronomy & Astrophysics, vol. 531, no. A156, Jul. 2011, pp. 1-15., Lirias number: 307127.
11-29
Alzate C., Suykens J.A.K., ``Out-of-Sample Eigenvectors in Kernel Spectral Clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, U.S.A., Aug. 2011, pp. 2349-2356., Lirias number: 307263.
11-30
Langone R., Alzate C., Suykens J.A.K., ``Modularity-based model selection for kernel spectral clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2011), San Jose, U.S.A., Aug. 2011, pp. 1849-1856., Lirias number: 306749.
11-34
Hunyadi B., De Vos M., Signoretto M., Suykens J.A.K., Van Paesschen W., Van Huffel S., ``Automatic Seizure Detection Incorporating Structural Information'', in Proc. of the 21st International Conference on Artificial Neural Networks, LNCS 6791 (ICANN 2011), Espoo, Finland, Jun. 2011, pp. 233-240., Lirias number: 306746.
11-35
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., Lirias number: 308481.
11-50
Combaz A., Chumerin N., Manyakov N.V., Robben A., Suykens J.A.K., Van Hulle M.M., ``Towards the detection of Error-Related Potentials and its integration in the context of a P300 Speller Brain-Computer Interface'', Neurocomputing, vol. 80, Mar. 2012, pp. 73-82., Lirias number: 312813.
11-55
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., Lirias number: 346866.
11-72
Falck T., Ohlsson H., Ljung L., Suykens J.A.K., De Moor B., ``Sum-of-norms regularization and kernel based models for segmentation of nonlinear time series'', Internal Report 11-72, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2011., Lirias number: x.
11-134
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. --., Lirias number: 390174.
11-145
Luts J., Verbeke G., Molenberghs G., Suykens J.A.K., ``Confidence intervals for mixed effects least squares support vector regression of longitudinal data'', Internal Report 11-145, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2011., Lirias number: x.
11-183
Widjaja D., Varon C., Caicedo A., Suykens J.A.K., Van Huffel S., ``Application of Kernel Principal Component Analysis for Single Lead ECG-Derived Respiration'', IEEE Transactions on Biomedical Engineering, vol. 59, no. 4, Apr. 2012, pp. 1169-1176., Lirias number: 337289.
11-186
Langone R., Alzate C. and Suykens J. A. K., ``Kernel spectral clustering for community detection in complex networks'', in Proc. of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012), Brisbane, Australia, Jun. 2012, pp. 2596-2603., Lirias number: 339596.
11-188
Alzate C., Suykens J.A.K., ``Hierarchical Kernel Spectral Clustering'', Neural Networks, vol. 35, Nov. 2012, pp. 21-30., Lirias number: 351793.
11-205
Mehrkanoon S., Suykens J.A.K., ``LS-SVM approximate solution to linear time varying descriptor systems'', Automatica, vol. 48, no. 10, Oct. 2012, pp. 2502-2511., Lirias number: 351796.
11-220
Hunyadi B., Signoretto M., Van Huffel S., Suykens J.A.K., De Vos M., ``Incorporating structural information from the multichannel EEG improves patient-specific seizure detection'', Clinical Neurophysiology, vol. 123, no. 12, Dec. 2012, pp. 2352-2361., Lirias number: 349147.
12-14
Alzate C., Suykens J.A.K., ``A Semi-Supervised Formulation to Binary Kernel Spectral Clustering'', in Proc. of the 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2012), Brisbane, Australia, Jun. 2012, pp. 1992-1999., Lirias number: 339597.
12-25
Matijas M., Suykens J.A.K., Krajcar S., ``Load Forecasting using a Multivariate Meta-Learning System'', Expert Systems with Applications, vol. 40, no. 11, Sep. 2013, pp. 4427-4437., Lirias number: 374872.
12-73
Varon C., Testelmans D., Buyse B., Suykens J.A.K, Van Huffel S., ``Robust artefact detection in long-term ECG recordings based on autocorrelation function similarity and percentile analysis'', in Proc. of the 34th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC), San Diego, CA US, Aug. 2012, pp. 3151-3154., Lirias number: 358583.
12-114
Huang X., Matijas M., Suykens J.A.K., ``Hinging Hyperplanes for Time-Series Segmentation'', IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 8, Aug. 2013, pp. 1279-1291., Lirias number: 411103.
12-124
Langone R., Alzate C. and Suykens J. A. K., ``Kernel Spectral Clustering with Memory Effect'', Physica A, vol. 392, no. 10, May 2013, pp. 2588-2606., Lirias number: 377109.
12-145
Huang X., Mehrkanoon S., Suykens J.A.K.., ``Support Vector Machines with Piecewise Linear Feature Mapping'', Neurocomputing, vol. 117, Oct. 2013, pp. 118-127., Lirias number: 390217.
12-146
Jumutc V., Suykens J.A.K., ``Supervised Novelty Detection'', in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI 2013), Singapore, Singapore, Apr. 2013, pp. 143 - 149., Lirias number: 402125.
12-147
Mall R., Suykens J.A.K., ``Sparse Variations to Fixed-Size Least Squares Support Vector Machines for Large Scale Data'', Internal Report 12-147, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012., Lirias number: x.
12-148
Mehrkanoon S., Suykens J.A.K., ``LS-SVM based solution for delay differential equations'', in Proc. of the International Conference on Mathematical Modelling in Physical Sciences (IC-MSQUARE 2012), Budapest, Hungary , Sep. 2012, 4 p., Lirias number: 361388.
12-159
Shi L., Huang X., Tian Z., Suykens J.A.K., ``Quantile Regression with L1-regularization and Gaussian Kernels'', Advances in Computational Mathematics, vol. 40, no. 2, Apr. 2014, pp. 517--551., Lirias number: 417140.
12-164
Mall R., Suykens J.A.K., ``Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data'', in Proc. of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013), GoldCoast, Australia, Apr. 2013, pp. 161-173., Lirias number: 372694.
12-185
Mall R., Suykens J.A.K., ``Very Sparse LSSVM Reductions for Large Scale Data'', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 5, Mar. 2015, pp. 1086 - 1097., Lirias number: 457659.
12-201
Mehrkanoon S., Suykens J.A.K., ``Time varying parameter estimation of delay differential equations using LS-SVMs'', Internal Report 12-201, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012., Lirias number: x.
12-202
Peluffo D., Alzate C., Suykens J.A.K., Castellanos G., ``Optimal data projection for Kernel Spectral Clustering'', Internal Report 12-202, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012., Lirias number: x.
12-226
Installe A., Suykens J., Van Calster B., Van den Bosch T., De Moor B., Timmerman D., ``Continually updating models for ovarian cancer diagnosis'', Internal Report 12-226, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2012., Lirias number: x.
12-227
Huang X., Shi L., Suykens J.A.K., ``Asymmetric Least Squares Support Vector Machine Classifiers'', Computational Statistics and Data Analysis, vol. 70, Feb. 2014, pp. 395-405., Lirias number: 418651.
12-233
Mehrkanoon S., Suykens J.A.K., ``Learning Solutions to Partial Differential Equations using LS-SVM'', Neurocomputing, vol. 159, Mar. 2015, pp. 105-116., Lirias number: 488555.
13-15
Signoretto M., Suykens J.A.K., ``Kernel Methods'', in Chapter 32 (Part D) of Handbook of Computational Intelligence, (Kacprzyk J., and Pedrycz W., eds.), Springer, 2015, pp. 577-605., Lirias number: 377435.
13-16
Jumutc V., Suykens J.A.K., ``Multi-Class Supervised Novelty Detection'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 12, Dec. 2014, pp. 2510 - 2523., Lirias number: 458432.
13-31
Jumutc V., Huang X., Suykens J.A.K., ``Fixed-Size Pegasos for Hinge and Pinball Loss SVM'', in Proc. of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), Dallas, USA, Aug. 2013, pp. 1122-1128., Lirias number: 415336.
13-32
Langone R., Mall R., Suykens J.A.K., ``Soft Kernel Spectral Clustering'', in Proc. of the (IJCNN 2013), Dallas, Texas, Aug. 2013, pp. 1028-1035., Lirias number: 402177.
13-33
Mehrkanoon S., Suykens J.A.K., ``Non-parallel semi-supervised classification based on kernel spectral clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2013), Dallas, U.S.A, Aug. 2013, pp. 2311-2318., Lirias number: 402179.
13-37
Peluffo D., Garcia S., Langone R., Suykens J.A.K., Castellanos G., ``Kernel Spectral Clustering for dynamic data using Multiple Kernel Learning'', in Proc. of the (IJCNN 2013), Dallas, Texas, Aug. 2013, pp. 1085-1090., Lirias number: 402181.
13-49
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., Lirias number: 417166.
13-50
Shi L., Huang X., Suykens J.A.K., ``Sparse Kernel Regression with Coefficient-based lq-Regularization'', Internal Report 13-50, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013., Lirias number: x.
13-51
Caicedo A., Varon C., Suykens J., van Huffel S., ``Projection Matrices in Reproducing Kernel Hilbert Spaces for Kernel Principal Component Regression'', Internal Report 13-51, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013., Lirias number: x.
13-52
Huang X., Shi L., Pelckmans K., Suykens J.A.K., ``Asymmetric nu-tube Support Vector Regression'', Computational Statistics and Data Analysis, vol. 77, Sep. 2014, pp. 371-382., Lirias number: 449411.
13-60
Mehrkanoon S., Mehrkanoon S.D., Suykens J.A.K., ``Parameter estimation of delay differential equations: an integration-free LS-SVM approach'', Communication in Nonlinear Science and Numerical Simulation, vol. 19, no. 4, Apr. 2014, pp. 830-841., Lirias number: 416501.
13-80
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., Lirias number: 429662.
13-90
Mall R., Mehrkanoon S., Suykens J.A.K., ``Identifying Intervals for Hierarchical Clustering using the Gershgorin Circle Theorem'', Pattern Recognition Letters, vol. 55, no. 1, Apr. 2015, pp. 1-7., Lirias number: 488558.
13-93
Suykens J.A.K., ``Introduction to Machine Learning'', in Chapter 13 of Academic Press Library in Signal Processing, ( Theodoridis S., and Chellappa R., eds.), vol. 1 of Signal Processing Theory and Machine Learning, Academic press (Waltham, USA), 2014, pp. 765-774., Lirias number: 402201.
13-94
Suykens J.A.K., ``Generating quantum-measurement probabilities from an optimality principle'', Physical Review A, vol. 87, no. 5, May 2013, pp. 052134-., Lirias number: 415058.
13-96
Jumutc V., Suykens J., ``Weighted Coordinate-Wise Pegasos'', in Proc. of the 5th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2013), Kolkata, India, Dec. 2013, pp. 262-269., Lirias number: 415352.
13-104
Langone R., Alzate C., De Ketelaere B., Vlasselaer J., Meert W., Suykens J.A.K., ``LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines'', Engineering Applications of Artificial Intelligence, vol. 37, Jan. 2015, pp. 268-278., Lirias number: 463431.
13-111
Mall R., Mehrkanoon S., Langone R., Suykens J.A.K., ``Optimal Reduced Sets for Sparse Kernel Spectral Clustering'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Beijing, China, Jul. 2014, pp. 2436 - 2443., Lirias number: 444529.
13-118
Suykens J.A.K., Argyriou A., De Brabanter K., Diehl M., Pelckmans K., Signoretto M., Van Belle V., Vandewalle J., (eds.), International workshop on advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013), Book of Abstracts, KU Leuven (Leuven, Belgium), 2013, 128 p., Lirias number: 410341.
13-141
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., Lirias number: 442415.
13-151
Mehrkanoon S., Quirynen R., Diehl M., Suykens J.A.K., ``LSSVM based initialization approach for parameter estimation of dynamical systems'', in Proc. of the International Conference on Mathematical Modelling in Physical Sciences (IC-MSQUARE 2013), Prague, Czech Republic, Sep. 2013, 4 p., Lirias number: 450264.
13-171
Mall R., El Anbari M., Bensmail H., Suykens J.A.K., ``Primal-Dual Framework for Feature Selection using Least Squares Support Vector Machines'', in Proc. of the 19th International Conference on Management of Data (COMAD), Ahmedabad, India, Dec. 2013, pp. 105-108., Lirias number: 421304.
13-172
Varon C., Alzate C., Suykens J.A.K., ``Noise Level Estimation for Model Selection in Kernel PCA Denoising'', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 11, Nov. 2015, pp. 2650-2663., Lirias number: 481513.
13-189
Signoretto M., De Lathauwer L., Suykens J., ``Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties'', Internal Report 13-189, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2013., Lirias number: x.
13-232
Mall R., Langone R., Suykens J.A.K., ``Agglomerative Hierarchical Kernel Spectral Clustering for Large Scale Networks'', in Proc. of the European Symposium on Artitficial Neural Networks (ESANN), Brugges, Belgium, Apr. 2014., Lirias number: 442452.
13-236
Jumutc V., Suykens J.A.K., ``Reweighted l1 Dual Averaging Approach for Sparse Stochastic Learning'', in Proc. of the 22th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014), Bruges, Belgium, Apr. 2014, pp. 1 - 6., Lirias number: 444536.
13-244
Feng Y., Huang X., Shi L., Yang Y., Suykens J.A.K., ``Learning with the Maximum Correntropy Criterion Induced Losses for Regression'', Journal of Machine Learning Research, vol. 16, May 2015, pp. 993-1034., Lirias number: 470708.
14-07
Mehrkanoon S., Suykens J.A.K, ``Large scale semi-supervised learning using KSC based model'', in Proc. of the International Joint Conference on Neural Networks (IJCNN 2014) (IJCNN 2014), Beijing, China, Jul. 2014, pp. 4152-4159., Lirias number: 444542.
14-14
Castro-Garcia R., Mehrkanoon S., Marconato A., Schoukens J. and Suykens J. A. K., ``SVD truncation schemes for fixed-size kernel models'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Beijing, China, Jun. 2014, pp. 3922-3929., Lirias number: 444544.
14-22
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., Lirias number: 467756.
14-26
Claesen M., De Smet F., Suykens J., De Moor B., ``Fast Prediction with SVM Models Containing RBF Kernels'', Internal Report 14-26, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014., Lirias number: x.
14-39
Jumutc V., Suykens J.A.K., ``Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning'', in Proc. of the 11th International Symposium on Neural Networks (ISNN 2014), Hong-Kong & Makao, People's Republic of China , Nov. 2014, pp. 232-242., Lirias number: 460412.
14-62
Feng Y., Yang Y., Suykens J. A. K., ``Robust gradient learning with applications'', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 4, Apr. 2016, pp. 822-835., Lirias number: 494677.
14-86
Claesen M., De Smet F., Suykens J. A. K., De Moor B., ``Efficient Ensemble Learning With Support Vector Machines'', Proc. of the 23rd Belgian-Dutch Conference on Machine Learning (BENELEARN 2014), Brussels, Belgium, Jun. 2014., Lirias number: 453744.
14-103
Mall R., Langone R., Suykens J.A.K., ``Agglomerative Hierarchical Kernel Spectral Data Clustering'', in Proc. of the IEEE Symposium on Computational Intelligence and Data Mining (SSCI CIDM), Orlando, U.S.A, Dec. 2014, pp. 9 - 16., Lirias number: 463449.
14-104
Langone R., Alzate C., Bey-Temsamani A., Suykens J. A. K., ``Alarm prediction in industrial machines using autoregressive LS-SVM models'', in Proc. of the Symposium Series on Computational Intelligence (SSCI-CIDM), Orlando,Florida, Dec. 2014, pp. 359-364., Lirias number: 463451.
14-105
Suykens J.A.K., Signoretto M., Argyriou A., (eds.), Regularization, Optimization, Kernels, and Support Vector Machines, Machine Learning & Pattern Recognition series, Chapman & Hall/CRC (Boca Raton , USA), 2014, 525 p., Lirias number: 455990.
14-107
Argyriou A., Signoretto M., Suykens J.A.K., ``Hybrid Algorithms with Applications to Sparse and Low Rank Regularization'', in Chapter 3 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. 55-85., Lirias number: 456274.
14-108
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., Lirias number: 456275.
14-109
Jumutc V., Suykens J.A.K., ``New Bilinear Formulation to Semi-Supervised Classification Based on Kernel Spectral Clustering'', in Proc. of the 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014), Orlando, Florida, Dec. 2014, pp. 41-47., Lirias number: 468450.
14-118
Mall R., Jumutc V., Langone R., Suykens J.A.K., ``Representative Subsets For Big Data Learning using kNN graphs'', in Proc. of the IEEE BigData (BigData), Washington DC, U.S.A., Oct. 2014, pp. 37-42., Lirias number: 463480.
14-119
Novak M., Alzate C., Langone R., Suykens J.A.K., ``Fast kernel spectral clustering based on incomplete Cholesky factorization for large scale data analysis'', Internal Report 14-119, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014., Lirias number: x.
14-120
Novak M., Alzate C., Langone R., Suykens J.A.K., ``KSC-ICD Package User's Manual'', Internal Report 14-120, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014., Lirias number: x.
14-137
Mall R., Langone R., Suykens J.A.K., ``Ranking Overlap and Outlier Points in Data using Soft Kernel Spectal Clustering'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN)}, Bruges, Belgium, Apr. 2015, 6 p., Lirias number: 488672.
14-154
Mehrkanoon S., Agudelo M., Suykens J.A.K, ``Incremental multi-class semi-supervised clustering regularized by Kalman filtering'', Neural Networks, vol. 71, Nov. 2015, pp. 88-104., Lirias number: 508430.
14-158
Feng Y., Yang Y., Zhao Y., Lv S., Suykens J., ``Learning with Kernelized Elastic Net Regularization'', Internal Report 14-158, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2014., Lirias number: x.
14-171
Xi X., Huang X., Suykens J.A.K., Wang S., ``Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines'', Neural Processing Letters, vol. 43, no. 3, Jun. 2016, pp. 887-903., Lirias number: 503160.
14-174
Frandi E., Nanculef R., Suykens J., ``Complexity Issues and Randomization Strategies in Frank-Wolfe Algorithms for Machine Learning'', in NIPS Workshop on Optimization for Machine Learning (OPT 2014), Montréal, Canada, Dec. 2014., Lirias number: 468141.
15-15
Mehrkanoon S., Agudelo M., Mall R., Suykens J.A.K., ``Hierarchical Semi-Supervised Clustering using KSC based model'', in Proc. of the International Joint Conference on Neural Networks 2015 (IJCNN 2015), Killarney, Ireland , Jul. 2015, pp. 1-8., Lirias number: 493882.
15-22
Karevan Z., Mehrkanoon S., Suykens J.A.K., ``Black-box modeling for temperature prediction in weather forecasting'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, Jul. 2015, pp. 1-8., Lirias number: 493885.
15-50
Langone R., Mall R., Alzate C., Suykens J.A.K., ``Kernel Spectral Clustering and applications'', in Chapter 6 of Unsupervised Learning Algorithms, (Celebi M. E., and Aydin K., eds.), Springer International Publishing Switzerland, 2016, pp. 135-161., Lirias number: 542278.
15-53
Jumutc V., Suykens J.A.K., ``Reweighted Stochastic Learning'', Neurocomputing, Special issue on Advances in Neural Networks, Intelligent Control and Information Processing, vol. 198, Jul. 2016, pp. 135-147., Lirias number: 558225.
15-60
Castro-Garcia R., Tiels K., Schoukens J., Suykens J.A.K., ``Incorporating Best Linear Approximation within LS-SVM-Based Hammerstein System Identification'', in Proc. of the 54th IEEE Conference on Decision and Control (CDC), Osaka, Japan, Dec. 2015, pp. 7392-7397., Lirias number: 513274.
15-75
Langone R., Suykens J. A. K., ``Supervised aggregated feature learning for multiple instance classification'', Information Sciences, vol. 375, Jan. 2017, pp. 234-245., Lirias number: 554564.
15-76
Huang X., Shi L., Yan M., Suykens J.A.K., ``Pinball Loss Minimization for One-bit Compressive Sensing'', Internal Report 15-76, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015., Lirias number: x.
15-86
Suykens J.A.K., ``SVD revisited: a new variational principle, compatible feature maps and nonlinear extensions'', Applied and Computational Harmonic Analysis, vol. 40, no. 3, May 2016, pp. 600-609., Lirias number: 509152.
15-101
Fanuel M., Suykens J.A.K., ``Coherent States and Wavelets in Least Squares-Support Vector Machines using HHK Transform'', Internal Report 15-101, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015., Lirias number: x.
15-102
Houthuys L., Langone R., Suykens J.A.K., ``Clustering From Two Data Sources Using a Kernel-Based Approach with Weight Coupling'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN), Bruges, Belgium, Apr. 2016, pp. 569-574., Lirias number: 529321.
15-103
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., Lirias number: 509154.
15-126
Jumutc V., Langone R., Suykens J.A.K., ``Regularized and Sparse Stochastic K-Means for Distributed Large-Scale Clustering'', in Proc. of the IEEE International Conference on Big Data (IEEE Big Data 2015), Santa Clara, California (USA), Oct. 2015, pp. 2535-2540., Lirias number: 510300.
15-131
Castro-Garcia R., Tiels K., Agudelo M., Suykens J.A.K., ``Hammerstein system identification through best linear approximation inversion and regularisation'', International Journal of Control, vol. 0, no. 0, May 2017, pp. 1-17., Lirias number: 586163.
15-142
Feng Y., Lv S., Hang H., Suykens J. A.K., ``Kernelized Elastic Net Regularization: Generalization Bounds and Sparse Recovery'', Neural Computation, vol. 28, no. 3, Mar. 2016, pp. 525-562., Lirias number: 515979.
15-154
Langone R., Reynders E., Mehrkanoon S., Suykens J. A. K., ``Automated structural health monitoring based on adaptive kernel spectral clustering'', Mechanical Systems and Signal Processing, vol. 90, Jun. 2017, pp. 64-78., Lirias number: 560875.
15-164
Feng Y., Yang Y., Huang X., Mehrkanoon S., Suykens J., ``Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses'', Neural Computation, vol. 28, no. 6, 2016, pp. 1217-1247., Lirias number: 527750.
15-179
Jumutc V., Suykens J.A.K., ``SALSA: Software Lab for Advanced Machine Learning with Stochastic Algorithms'', Internal Report 15-179, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015., Lirias number: x.
15-192
Castro-Garcia R., Agudelo M., Tiels K., Suykens J.A.K, ``Hammerstein System Identification using LS-SVM and Steady State Time Response'', in Proc. of the European Control Conference (ECC), Aalborg, Denmark, Jul. 2016., Lirias number: 537411.
15-211
Huang X., Suykens J.A.K., Wang S., Maier A., Hornegger J., ``Classification with Truncated l1 Distance Kernel'', Internal Report 15-211, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2015. Accepted for publication in IEEE Transactions on Nerual Networks and Learning Systems., Lirias number: 588435.
15-214
Huang X., Maier A., Hornegger J., Suykens J.A.K., ``Indefinite Kernels in Least Squares Support Vector Machines and Principal Component Analysis'', Applied and Computational Harmonic Analysis, vol. 43, no. 1, Jul. 2017, pp. 162-172., Lirias number: 557941.
15-222
Langone R., Mall R., Jumutc V., Suykens J. A. K., ``Fast in-memory spectral clustering using a fixed-size approach'', in Proc. of the 24 European Symposium on Artificial Neural Networks, Computational Intelligence and machine Learning (ESANN 2016), Brugge, Belgium, Apr. 2016, pp. 557-562., Lirias number: 527094.
15-224
Mehrkanoon S., Agudelo M., Suykens J.A.K., ``Online semi-supervised clustering regularized by Kalman filtering'', Book of abstracts of the 34th Benelux Meeting on Systems and Control, Lommel, Belgium, Mar. 2015, 61 p., Lirias number: 573098.
16-02
Jumutc V., Langone R., Suykens J.A.K., ``Regularized and Distributed Stochastic K-Means in the Presence of Outliers'', Internal Report 16-02, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-03
Houthuys L., Langone R., Suykens J.A.K., ``Multi-view Kernel Spectral Clustering'', Internal Report 16-03, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-05
Karevan Z., Suykens J.A.K., ``Spatio-temporal feature selection for black-box weather forecasting'', in Proc. of the European Symposium on Artificial Neural Networks (ESANN ), Bruges, Belgium, Apr. 2016, pp. 611-616., Lirias number: 542286.
16-16
Mehrkanoon S., Suykens J.A.K., ``Multi-label semi-supervised learning using regularized Kernel spectral clustering'', in Proc. of the IEEE World Congress on Computational Intelligence (IEEE WCCI/IJCNN 2016), Vancouver, Canada , Jul. 2016, pp. 4009-4016., Lirias number: 542402.
16-21
Van Belle V., Van Calster B., Van Huffel S., Suykens J.A.K., Lisboa P., ``Explaining support vector machines: a color based nomogram'', Plos One, vol. 11, no. 10, Oct. 2016, pp. 1-33., Lirias number: 552325.
16-25
Hang H., Feng Y., Suykens J.A.K., ``Learning from C-mixing Processes'', Internal Report 16-25, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-26
Gauthier B., Suykens J.A.K., ``RKHS, energy, discrepancy and SVM'', Internal Report 16-26, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-50
Suykens J.A.K., ``Deep Restricted Kernel Machines using Conjugate Feature Duality'', Neural Computation, vol. 29, no. 8, Aug. 2017, pp. 2123-2163., Lirias number: 577198.
16-62
Salzo S., Suykens J.A.K., ``Generalized support vector regression: duality and tensor-kernel representation'', Internal Report 16-62, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-83
Castro-Garcia R., Suykens J.A.K., ``Wiener System Identification using Best Linear Approximation within the LS-SVM framework'', in Proc. of the 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Cartagena, Colombia, Nov. 2016., Lirias number: 580085.
16-84
Karevan Z., Suykens J.A.K., ``Clustering-based feature selection for black-box weather temperature prediction'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, Jul. 2016, pp. 1-8., Lirias number: 542288.
16-116
Aliquintuy M., Frandi E., Nanculef R., Suykens J.A.K., ``Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso'', in CIARP 2016: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lima, Peru, Nov. 2016, pp. 208-216., Lirias number: 597559.
16-161
Hang H., Steinwart I., Feng Y., Suykens J. A.K., ``Kernel density estimation for dynamical systems'', Internal Report 16-161, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2016., Lirias number: x.
16-165
Langone R., Suykens J. A. K., ``Efficient multiple scale kernel classifiers'', in Proc. of the International Conference on Big Data (IEEE Big Data), Washington D. C., USA, Dec. 2016, pp. 128-133., Lirias number: 554761.
16-180
Houthuys L., Karevan Z., Suykens J.A.K., ``Multi-view LS-SVM Regression for Black-Box Temperature Prediction in Weather Forecasting'', in Proc. of the International Joint Conference on Neural Networks (IJCNN), Anchorage, USA, May 2017, pp. 1102-1108., Lirias number: 575381.
16-210
Houthuys L., Langone R., Suykens J.A.K., ``Multi-View Kernel Spectral Clustering'', Information Fusion, vol. 44, Nov. 2018, pp. 46-56., Lirias number: 604673.
17-21
Castro-Garcia R., Agudelo M., Suykens J.A.K., ``Impulse Response Constrained LS-SVM modeling for Hammerstein System Identification'', in Proc. of the 20th World Congress of the International Federation of Automatic Control (IFAC 2017), Toulouse, France , Jul. 2017., Lirias number: 575384.
17-22
Castro-Garcia R., Agudelo M., Suykens J.A.K., ``Impulse Response Constrained LS-SVM modeling for MIMO Hammerstein System Identification'', International Journal of Control, vol. 0, no. 0, Sep. 2017, pp. 1-18., Lirias number: 593427.
17-23
Castro-Garcia R., Agudelo M., Suykens J.A.K, ``MIMO Hammerstein System Identification using LS-SVM and Steady State Time Response'', in Proc. of the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017), Hawaii, USA, Nov. 2017, pp. 2559-2565., Lirias number: 593429.
17-24
Castro-Garcia R., Tiels K., Suykens J.A.K., ``Frequency Division LS-SVM for Nonlinear Modeling'', Internal Report 17-24, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-28
Feng Y., Fan J., Suykens J.A.K., ``A Statistical Learning Approach to Modal Regression'', Internal Report 17-28, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-57
Langone R., Jumutc V., Suykens J. A. K., ``Large-Scale Clustering Algorithms'', in Chapter 1 of Data Science and Big Data: An Environment of Computational Intelligence, (Pedrycz W., and and Chen S.-M., eds.), vol. 24 of Studies in Big Data, Springer International Publishing, 2017, pp. 3-28., Lirias number: 580101.
17-71
Houthuys L., Langone R., Suykens J.A.K., ``Multi-view Least Squares Support Vector Machines Classification'', Neurocomputing, vol. 282, Mar. 2018, pp. 78-88., Lirias number: 604679.
17-95
Langone R., Suykens J.A.K., ``Fast Kernel Spectral Clustering'', Neurocomputing, vol. 268, Dec. 2017, pp. 27-33., Lirias number: 583964.
17-114
Houthuys L., Suykens J.A.K., ``Unpaired Multi-View Kernel Spectral Clustering'', in Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI 2017), Hawaii, USA, Nov. 2017, pp. 1307-1313., Lirias number: 593435.
17-139
Karevan Z., Suykens J. A. K., ``Localized Feature Selection Using Clustering-based Sample Entropy for Temperature Prediction in Weather Forecasting'', Internal Report 17-139, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017., Lirias number: x.
17-149
Salzo S., Suykens J.A.K., Rosasco L., ``Solving lp-norm regularization with tensor kernels'', Internal Report 17-149, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in AISTATS 2018., Lirias number: x.
17-172
Schreurs J., Suykens J.A.K., ``Generative Kernel PCA'', Internal Report 17-172, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2017. Accepted for publication in ESANN 2018., Lirias number: 613011.
18-77
Houthuys L., Suykens J.A.K., ``Tensor Learning in Multi-View Kernel PCA'', Internal Report 18-77, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
18-82
Caicedo A., Varon C., Van Huffel S., Suykens J.A, ``Functional Form Estimation using Oblique Projection Matrices for LS-SVM Regression Models'', Internal Report 18-82, ESAT-STADIUS, KU Leuven (Leuven, Belgium), 2018., Lirias number: x.
332 records found.
[STADIUS] [Department of Electrical Engineering (ESAT)] [Faculty of Engineering] [KU Leuven]
Comments can be mailed to the STADIUS Web Master. This page was generated on Jul 16, 2018.