Johan Suykens
Johan Suykens
Professor, KU Leuven
Verified email at esat.kuleuven.be - Homepage
TitleCited byYear
Least squares support vector machine classifiers
JAK Suykens, J Vandewalle
Neural Processing Letters 9 (3), 293-300, 1999
79601999
Least squares support vector machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
World Scientific, 2002
48102002
Least Squares Support Vector Machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
World Scientific, 2002
48062002
Least Squares Support Vector Machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
World Scientific, 2002
48062002
Weighted least squares support vector machines: robustness and sparse approximation
JAK Suykens, J De Brabanter, L Lukas, J Vandewalle
Neurocomputing 48 (1-4), 85-105, 2002
13322002
Benchmarking state-of-the-art classification algorithms for credit scoring
B Baesens, T Van Gestel, S Viaene, M Stepanova, JAK Suykens, ...
Journal of the Operational Research Society 54 (6), 627-635, 2003
7972003
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54 (1), 5-32, 2004
7112004
Financial time series prediction using least squares support vector machines within the evidence framework
T Van Gestel, JAK Suykens, DE Baestaens, A Lambrechts, G Lanckriet, ...
IEEE Transactions on Neural Networks 12 (4), 809-821, 2001
6232001
Optimal control by least squares support vector machines
JAK Suykens, J Vandewalle, B De Moor
Neural networks 14 (1), 23-35, 2001
6072001
Artificial neural networks for modelling and control of non-linear systems
JAK Suykens, JPL Vandewalle, BL de Moor
Springer Science & Business Media, 2012
5462012
Recurrent least squares support vector machines
JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2000
4662000
Nonlinear modelling and support vector machines
JAK Suykens
Proceedings of the 18th IEEE Instrumentation and Measurement Technology …, 2001
4512001
Sparse approximation using least squares support vector machines
JAK Suykens, L Lukas, J Vandewalle
2000 IEEE International Symposium on Circuits and Systems. Emerging …, 2000
4412000
Sparse approximation using least squares support vector machines
JAK Suykens, L Lukas, J Vandewalle
Proceedings IEEE International Symposium on Circuits and Systems (ISCAS 2000 …, 2000
4412000
Generation of n-double scrolls (n= 1, 2, 3, 4,…)
JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 1993
3891993
Bayesian framework for least squares support vector machine classifiers, Gaussian processes, and kernel Fisher discriminant analysis
T Van Gestel, JAK Suykens, G Lanckriet, A Lambrechts, B De Moor, ...
Neural Computation 14 (5), 1115-1147, 2002
3252002
LS-SVMlab: a matlab/c toolbox for least squares support vector machines
K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ...
Internal Report 02-44, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2002, 2002
3192002
True random bit generation from a double-scroll attractor
ME Yalcin, JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2004
3052004
Families of scroll grid attractors
ME Yalcin, JAK Suykens, J Vandewalle, S Ozoguz
International Journal of Bifurcation and Chaos 12 (1), 23-42, 2002
2972002
Least squares support vector machine classifiers: a large scale algorithm
JAK Suykens, L Lukas, P Van Dooren, B De Moor, J Vandewalle
European Conference on Circuit Theory and Design, ECCTD 99, 839-842, 1999
2751999
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Articles 1–20