Johan A. K. Suykens

	2009
85		Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor: Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. ICANN (1) 2009: 100-110
84		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: MINLIP: Efficient Learning of Transformation Models. ICANN (1) 2009: 60-69
83		Carlos Alzate, Marcelo Espinoza, Bart De Moor, Johan A. K. Suykens: Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering. ICANN (2) 2009: 315-324
82		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints. IWANN (1) 2009: 65-72
81		Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Johan A. K. Suykens, Refet Firat Yazicioglu, Tom Torfs, Patrick Merken, Herc P. Neves, Chris Van Hoof, Marc M. Van Hulle: P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. KI 2009: 339-346
	2008
80		Ion Necoara, Dang Doan, Johan A. K. Suykens: Application of the proximal center decomposition method to distributed model predictive control. CDC 2008: 2900-2905
79		Ion Necoara, Johan A. K. Suykens: A proximal center-based decomposition method for multi-agent convex optimization. CDC 2008: 3077-3082
78		Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel: Survival SVM: a practical scalable algorithm. ESANN 2008: 89-94
77		Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens: Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. ICANN (1) 2008: 175-184
76		Carlos Alzate, Johan A. K. Suykens: Sparse kernel models for spectral clustering using the incomplete Cholesky decomposition. IJCNN 2008: 3556-3563
75		Johan A. K. Suykens: Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point. IEEE Transactions on Neural Networks 19(9): 1501-1517 (2008)
74		Carlos Alzate, Johan A. K. Suykens: Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. IEEE Transactions on Neural Networks 19(9): 1583-1598 (2008)
73		Carlos Alzate, Johan A. K. Suykens: A regularized kernel CCA contrast function for ICA. Neural Networks 21(2-3): 170-181 (2008)
72		Fabian Ojeda, Johan A. K. Suykens, Bart De Moor: Low rank updated LS-SVM classifiers for fast variable selection. Neural Networks 21(2-3): 437-449 (2008)
	2007
71		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Convex optimization for the design of learning machines. ESANN 2007: 193-204
70		Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) 2007: 139-148
69		Peter Karsmakers, Kristiaan Pelckmans, Johan A. K. Suykens: Multi-class kernel logistic regression: a fixed-size implementation. IJCNN 2007: 1756-1761
68		Fabian Ojeda, Johan A. K. Suykens, Bart De Moor: Variable selection by rank-one updates for least squares support vector machines. IJCNN 2007: 2283-2288
67		Carlos Alzate, Johan A. K. Suykens: ICA through an LS-SVM based Kernel CCA Measure for Independence. IJCNN 2007: 2920-2925
66		Kristiaan Pelckmans, Johan A. K. Suykens: Transductive Rademacher Complexities for Learning Over a Graph. MLG 2007
65		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: A Risk Minimization Principle for a Class of Parzen Estimators. NIPS 2007
64		Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sabine Van Huffel: 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 40(2): 87-102 (2007)
63		Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Support and Quantile Tubes CoRR abs/cs/0703055: (2007)
62		Dániel Hillier, Serkan Günel, Johan A. K. Suykens, Joos Vandewalle: Partial Synchronization in oscillator Arrays with Asymmetric Coupling. I. J. Bifurcation and Chaos 17(11): 4177-4185 (2007)
61		Chuan Lu, Andy Devos, Johan A. K. Suykens, Carles Arús, Sabine Van Huffel: Bagging Linear Sparse Bayesian Learning Models for Variable Selection in Cancer Diagnosis. IEEE Transactions on Information Technology in Biomedicine 11(3): 338-347 (2007)
60		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: A Convex Approach to Validation-Based Learning of the Regularization Constant. IEEE Transactions on Neural Networks 18(3): 917-920 (2007)
59		Luc Hoegaerts, Lieven De Lathauwer, Ivan Goethals, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Efficiently updating and tracking the dominant kernel principal components. Neural Networks 20(2): 220-229 (2007)
	2006
58		Carlos Alzate, Johan A. K. Suykens: A Weighted Kernel PCA Formulation with Out-of-Sample Extensions for Spectral Clustering Methods. IJCNN 2006: 138-144
57		Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: Multi-scroll and hypercube attractors from Josephson junctions. ISCAS 2006
56		Tony Van Gestel, Bart Baesens, Peter Van Dijcke, Joao Garcia, Johan A. K. Suykens, Jan Vanthienen: A process model to develop an internal rating system: Sovereign credit ratings. Decision Support Systems 42(2): 1131-1151 (2006)
55		Tony Van Gestel, Bart Baesens, Johan A. K. Suykens, Dirk Van den Poel, Dirk-Emma Baestaens, Marleen Willekens: Bayesian kernel based classification for financial distress detection. European Journal of Operational Research 172(3): 979-1003 (2006)
54		Mustak E. Yalcin, Johan A. K. Suykens: Spatiotemporal Pattern Formation on the ACE16K CNN Chip. I. J. Bifurcation and Chaos 16(5): 1537-1546 (2006)
53		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Additive Regularization Trade-Off: Fusion of Training and Validation Levels in Kernel Methods. Machine Learning 62(3): 217-252 (2006)
	2005
52		Nathalie Pochet, Frizo A. L. Janssens, Frank De Smet, Kathleen Marchal, Ignace Vergote, Johan A. K. Suykens, Bart De Moor: M@CBETH: Optimizing Clinical Microarray Classification. CSB Workshops 2005: 89-90
51		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Componentwise Support Vector Machines for Structure Detection. ICANN (2) 2005: 643-648
50		Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: Spatiotemporal pattern formation in the ACE16k CNN chip. ISCAS (6) 2005: 5814-5817
49		Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor: Load Forecasting Using Fixed-Size Least Squares Support Vector Machines. IWANN 2005: 1018-1026
48		B. Pluymers, L. Roobrouck, J. Buijs, Johan A. K. Suykens, Bart De Moor: Constrained linear MPC with time-varying terminal cost using convex combinations. Automatica 41(5): 831-837 (2005)
47		Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Identification of MIMO Hammerstein models using least squares support vector machines. Automatica 41(7): 1263-1272 (2005)
46		Nathalie Pochet, Frizo A. L. Janssens, Frank De Smet, Kathleen Marchal, Johan A. K. Suykens, Bart De Moor: M@CBETH: a microarray classification benchmarking tool. Bioinformatics 21(14): 3185-3186 (2005)
45		Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Componentwise Least Squares Support Vector Machines CoRR abs/cs/0504086: (2005)
44		Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Handling missing values in support vector machine classifiers. Neural Networks 18(5-6): 684-692 (2005)
43		Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: Primal-Dual Monotone Kernel Regression. Neural Processing Letters 22(2): 171-182 (2005)
42		Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Subset based least squares subspace regression in RKHS. Neurocomputing 63: 293-323 (2005)
41		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Building sparse representations and structure determination on LS-SVM substrates. Neurocomputing 64: 137-159 (2005)
40		Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor: The differogram: Non-parametric noise variance estimation and its use for model selection. Neurocomputing 69(1-3): 100-122 (2005)
	2004
39		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Sparse LS-SVMs using additive regularization with a penalized validation criterion. ESANN 2004: 435-440
38		Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor: Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. ICONIP 2004: 1216-1222
37		Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. ICONIP 2004: 1247-1253
36		Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: A double scroll based true random bit generator. ISCAS (4) 2004: 581-584
35		Tijl De Bie, Johan A. K. Suykens, Bart De Moor: Learning from General Label Constraints. SSPR/SPR 2004: 671-679
34		Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, F. A. Howe, Carles Majós, A. Moreno-Torres, M. Van Der Graaf, Anne Rosemary Tate, Carles Arús, Sabine Van Huffel: Brain tumor classification based on long echo proton MRS signals. Artificial Intelligence in Medicine 31(1): 73-89 (2004)
33		Nathalie Pochet, Frank De Smet, Johan A. K. Suykens, Bart De Moor: Systematic benchmarking of microarray data classification: assessing the role of non-linearity and dimensionality reduction. Bioinformatics 20(17): 3185-3195 (2004)
32		Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle: Benchmarking Least Squares Support Vector Machine Classifiers. Machine Learning 54(1): 5-32 (2004)
	2003
31		Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote: Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228
30		Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Kernel PLS variants for regression. ESANN 2003: 200-208
29		Johan A. K. Suykens, Mustak E. Yalcin, Joos Vandewalle: Coupled chaotic simulated annealing processes. ISCAS (3) 2003: 582-585
28		Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman: Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artificial Intelligence in Medicine 28(3): 281-306 (2003)
	2002
27		Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús: The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals. ESANN 2002: 131-136
26		Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger: Prediction of mental development of preterm newborns at birth time using LS-SVM. ESANN 2002: 167-172
25		Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle: Robust Cross-Validation Score Function for Non-linear Function Estimation. ICANN 2002: 713-719
24		Bart Hamers, Johan A. K. Suykens, Bart De Moor: Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. ICANN 2002: 720-726
23		Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Intelligence and Cooperative Search by Coupled Local Minimizers CoRR cs.AI/0210030: (2002)
22		Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle, Serdar Özoguz: Families of scroll Grid attractors. I. J. Bifurcation and Chaos 12(1): 23-41 (2002)
21		Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle: Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. Neural Computation 14(5): 1115-1147 (2002)
20		Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle: Multiclass LS SVMs Moderated Outputs and Coding Decoding Schemes. Neural Processing Letters 15(1): 45-58 (2002)
19		Johan A. K. Suykens, Jos De Brabanter, Lukas Lukas, Joos Vandewalle: Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 48(1-4): 85-105 (2002)
	2001
18		Tony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Automatic relevance determination for Least Squares Support Vector Machines classifiers. ESANN 2001: 13-18
17		Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle: Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. ICANN 2001: 384-389
16		Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge discovery in a direct marketing case using least squares support vector machines. Int. J. Intell. Syst. 16(9): 1023-1036 (2001)
15		Michel Duhoux, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Improved Long-Term Temperature Prediction by Chaining of Neural Networks. Int. J. Neural Syst. 11(1): 1-10 (2001)
14		Johan A. K. Suykens, Joos Vandewalle, Bart De Moor: Optimal control by least squares support vector machines. Neural Networks 14(1): 23-35 (2001)
	2000
13		Johan A. K. Suykens, Joos Vandewalle: The K.U.Leuven competition data: a challenge for advanced neural network techniques. ESANN 2000: 299-304
12		Johan A. K. Suykens, Lukas Lukas, Joos Vandewalle: Sparse least squares Support Vector Machine classifiers. ESANN 2000: 37-42
11		Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen: An empirical assessment of kernel type performance for least squares support vector machine classifiers. KES 2000: 313-316
10		Stijn Viaene, Bart Baesens, Tony Van Gestel, Johan A. K. Suykens, Dirk Van den Poel, Jan Vanthienen, Bart De Moor, Guido Dedene: Knowledge Discovery Using Least Squares Support Vector Machine Classifiers: A Direct Marketing Case. PKDD 2000: 657-664
	1999
9		Mustak E. Yalcin, Johan A. K. Suykens, Joos Vandewalle: On the realization of n-scroll attractors. ISCAS (5) 1999: 483-486
8		Johan A. K. Suykens, Joos Vandewalle: Training multilayer perceptron classifiers based on a modified support vector method. IEEE Transactions on Neural Networks 10(4): 907-911 (1999)
7		Johan A. K. Suykens, Joos Vandewalle: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9(3): 293-300 (1999)
	1998
6		Johan A. K. Suykens, Joos Vandewalle: Improved generalization ability of neurocontrollers by imposing NLq stability constraints. ESANN 1998: 99-104
5		Johan A. K. Suykens, Herman Verrelst, Joos Vandewalle: On-Line Learning Fokker-Planck Machine. Neural Processing Letters 7(2): 81-89 (1998)
	1997
4		Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria. Neural Networks 10(4): 615-637 (1997)
	1996
3		Johan A. K. Suykens, Philippe Lemmerling, W. Favoreel, Bart De Moor, M. Crepel, P. Briol: Modelling the Belgian Gas Consumption Using Neural Networks. Neural Processing Letters 4(3): 157-166 (1996)
	1995
2		Johan A. K. Suykens, Joos Vandewalle: Generalized Cellular Neural Networks Represented in he NLq Framework. ISCAS 1995: 645-648
	1994
1		Johan A. K. Suykens, Bart De Moor, Joos Vandewalle: Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points. Neural Networks 7(5): 819-831 (1994)

Coauthor Index

1	Carlos Alzate	[58] [67] [73] [74] [76] [83]
2	Lieveke Ameye	[26]
3	Carles Arús	[27] [34] [61]
4	Bart Baesens	[10] [11] [16] [32] [55] [56]
5	Dirk-Emma Baestaens	[55]
6	Vanya Van Belle	[78] [82] [84]
7	Tijl De Bie	[35]
8	Tom Bourne	[70]
9	Jos De Brabanter	[17] [19] [25] [26] [40] [43] [44] [45] [63] [85]
10	Kris De Brabanter	[85]
11	P. Briol	[3]
12	J. Buijs	[48]
13	Ben Van Calster	[70]
14	Nikolay Chumerin	[81]
15	Adrien Combaz	[81]
16	George Condous	[70]
17	M. Crepel	[3]
18	Hans Daniels	[26]
19	Michiel Debruyne	[85]
20	Guido Dedene	[10] [11] [16] [32]
21	Hugo Devlieger	[26]
22	Andy Devos	[27] [34] [61]
23	Peter Van Dijcke	[56]
24	Dang Doan	[80]
25	Michel Duhoux	[15]
26	Marcelo Espinoza	[43] [49] [83]
27	W. Favoreel	[3]
28	Joao Garcia	[56]
29	Tony Van Gestel	[10] [11] [16] [17] [18] [20] [21] [28] [31] [32] [55] [56]
30	Ivan Goethals	[45] [47] [59]
31	M. Van Der Graaf	[34]
32	Serkan Günel	[62]
33	Bart Hamers	[24]
34	Arend Heerschap	[64]
35	Dániel Hillier	[62]
36	Luc Hoegaerts	[30] [37] [42] [59]
37	Chris Van Hoof	[81]
38	F. A. Howe	[34]
39	Mia Hubert	[85]
40	Sabine Van Huffel	[26] [27] [28] [31] [34] [61] [64] [70] [78] [82] [84]
41	Marc M. Van Hulle	[81]
42	Frizo A. L. Janssens	[46] [52]
43	Peter Karsmakers	[69]
44	Annemie Lambrechts	[20] [21]
45	Gert R. G. Lanckriet	[20] [21]
46	Lieven De Lathauwer	[59]
47	Philippe Lemmerling	[3]
48	Chuan Lu	[26] [28] [31] [61]
49	Lukas Lukas	[12] [19] [26] [27] [34]
50	Jan Luts	[64] [70]
51	Carles Majós	[27] [34]
52	Nikolay V. Manyakov	[81]
53	Kathleen Marchal	[46] [52]
54	Patrick Merken	[81]
55	Bart De Moor	[1] [3] [4] [10] [11] [14] [15] [16] [17] [18] [20] [21] [23] [24] [30] [32] [33] [35] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [51] [52] [53] [59] [60] [63] [65] [68] [71] [72] [83] [85]
56	A. Moreno-Torres	[34]
57	Gunnar Naulaers	[26]
58	Ion Necoara	[79] [80]
59	Herc P. Neves	[81]
60	Fabian Ojeda	[68] [72]
61	Serdar Özoguz	[22]
62	Kristiaan Pelckmans	[25] [38] [39] [40] [41] [43] [44] [45] [47] [51] [53] [60] [63] [65] [66] [69] [71] [77] [78] [82] [84] [85]
63	B. Pluymers	[48]
64	Nathalie Pochet	[33] [46] [52]
65	Dirk Van den Poel	[10] [16] [55]
66	L. Roobrouck	[48]
67	Marco Signoretto	[77]
68	Frank De Smet	[33] [46] [52]
69	Anne Rosemary Tate	[27] [34]
70	Dirk Timmerman	[28] [31] [70]
71	Tom Torfs	[81]
72	Joos Vandewalle	[1] [2] [4] [5] [6] [7] [8] [9] [12] [13] [14] [15] [17] [18] [19] [20] [21] [22] [23] [25] [29] [30] [32] [36] [37] [42] [50] [57] [59] [62]
73	Leentje Vanhamme	[27] [34]
74	Jan Vanthienen	[10] [11] [16] [32] [56]
75	Ignace Vergote	[28] [31] [52]
76	Herman Verrelst	[5]
77	Stijn Viaene	[10] [11] [16] [32]
78	Marleen Willekens	[55]
79	Mustak E. Yalcin	[9] [22] [29] [36] [50] [54] [57]
80	Refet Firat Yazicioglu	[81]

Colors in the list of coauthors