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Joos Vandewalle
Joos Vandewalle
Professor at Electrical Engineering Dept (ESAT-Stadius) KULeuven
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Least squares support vector machine classifiers
JAK Suykens, J Vandewalle
Neural processing letters 9, 293-300, 1999
134341999
Chaos control using least‐squares support vector machines
JAK Suykens, J Vandewalle
International journal of circuit theory and applications 27 (6), 605-615, 1999
57851999
A multilinear singular value decomposition
L De Lathauwer, B De Moor, J Vandewalle
SIAM journal on Matrix Analysis and Applications 21 (4), 1253-1278, 2000
50962000
On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors
L De Lathauwer, B De Moor, J Vandewalle
SIAM journal on Matrix Analysis and Applications 21 (4), 1324-1342, 2000
19932000
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
18042002
Benchmarking least squares support vector machine classifiers
T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ...
Machine learning 54, 5-32, 2004
9202004
Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma
I Vergote, J De Brabanter, A Fyles, K Bertelsen, N Einhorn, P Sevelda, ...
The lancet 357 (9251), 176-182, 2001
7962001
Fetal electrocardiogram extraction by blind source subspace separation
L De Lathauwer, B De Moor, J Vandewalle
IEEE transactions on biomedical engineering 47 (5), 567-572, 2000
7892000
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
7542001
Optimal control by least squares support vector machines
JAK Suykens, J Vandewalle, B De Moor
Neural networks 14 (1), 23-35, 2001
7522001
Artificial neural networks for modelling and control of non-linear systems
JAK Suykens, JPL Vandewalle, BL De Moor
Springer Science & Business Media, 2012
7122012
On-and off-line identification of linear state-space models
M Moonen, B De Moor, L Vandenberghe, J Vandewalle
International Journal of Control 49 (1), 219-232, 1989
6021989
Recurrent least squares support vector machines
JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2000
5702000
Hash functions based on block ciphers: A synthetic approach
B Preneel, R Govaerts, J Vandewalle
Advances in Cryptology—CRYPTO’93: 13th Annual International Cryptology …, 1994
5671994
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
4491993
LS-SVMlab: a matlab/c toolbox for least squares support vector machines
K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ...
Tutorial. KULeuven-ESAT. Leuven, Belgium 142 (1-2), 2002
4402002
Propagation characteristics of Boolean functions
B Preneel, W Van Leekwijck, L Van Linden, R Govaerts, J Vandewalle
Advances in Cryptology—EUROCRYPT’90: Workshop on the Theory and Application …, 1991
4141991
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 Yalçin, JAK Suykens, J Vandewalle
IEEE Transactions on Circuits and Systems I: Regular Papers 51 (7), 1395-1404, 2004
3872004
Multi-valued and universal binary neurons: Theory, learning and applications
I Aizenberg, NN Aizenberg, JPL Vandewalle
Springer Science & Business Media, 2013
3802013
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