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Johan Suykens
Johan Suykens
Professor, KU Leuven
Bestätigte E-Mail-Adresse bei esat.kuleuven.be - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Least squares support vector machine classifiers
JAK Suykens, J Vandewalle
Neural Processing Letters 9 (3), 293-300, 1999
133051999
Least Squares Support Vector Machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
International journal of circuit theory and applications, 2002
5775*2002
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
18242002
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
13302003
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54, 5-32, 2004
9212004
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
7622001
Optimal control by least squares support vector machines
JAK Suykens, J Vandewalle, B De Moor
Neural networks 14 (1), 23-35, 2001
7582001
Artificial neural networks for modelling and control of non-linear systems
JAK Suykens, JPL Vandewalle, BL De Moor
Springer Science & Business Media, 2012
7182012
Recurrent least squares support vector machines
JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2000
5762000
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
571*2002
Least Squares Support Vector Machines
JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle
World Scientific, 2002
571*2002
Nonlinear modelling and support vector machines
JAK Suykens
Proceedings of the 18th IEEE Instrumentation and Measurement Technology …, 2001
5262001
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
5142000
Transductive LSTM for time-series prediction: An application to weather forecasting
Z Karevan, JAK Suykens
Neural Networks 125, 1-9, 2020
4522020
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
4511993
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
4432002
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
4082010
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
4012002
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
3892004
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
3802010
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