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Johan Suykens
Johan Suykens
Professor, KU Leuven
Geverifieerd e-mailadres voor esat.kuleuven.be - Homepage
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Least squares support vector machine classifiers
JAK Suykens, J Vandewalle
Neural Processing Letters 9 (3), 293-300, 1999
135701999
Least Squares Support Vector Machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
World Scientific (ISBN 981-238-151-1), 2002
63082002
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
18432002
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
13472003
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54, 5-32, 2004
9342004
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
7692001
Optimal control by least squares support vector machines
JAK Suykens, J Vandewalle, B De Moor
Neural networks 14 (1), 23-35, 2001
7692001
Artificial neural networks for modelling and control of non-linear systems
JAK Suykens, JPL Vandewalle, BL De Moor
Springer Science & Business Media, 2012
7442012
Least Squares Support Vector Machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
World Scientific, 2002
577*2002
Recurrent least squares support vector machines
JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2000
5772000
Nonlinear modelling and support vector machines
JAK Suykens
Proceedings of the 18th IEEE Instrumentation and Measurement Technology …, 2001
5402001
Transductive LSTM for time-series prediction: An application to weather forecasting
Z Karevan, JAK Suykens
Neural Networks 125, 1-9, 2020
5272020
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
5192000
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
4571993
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
4452002
A tutorial on support vector machine-based methods for classification problems in chemometrics
J Luts, F Ojeda, R Van de Plas, B De Moor, S Van Huffel, JAK Suykens
Analytica Chimica Acta 665 (2), 129-145, 2010
4222010
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
4132002
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
3972004
Coupled simulated annealing
S Xavier-de-Souza, JAK Suykens, J Vandewalle, D Bollé
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 40 …, 2010
3872010
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
3771999
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Artikelen 1–20