| Least squares support vector machine classifiers JAK Suykens, J Vandewalle Neural Processing Letters 9 (3), 293-300, 1999 | 13570 | 1999 |
| 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 | 6308 | 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 | 1843 | 2002 |
| 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 | 1347 | 2003 |
| Benchmarking least squares support vector machine classifiers T Van Gestel, JAK Suykens, B Baesens, S Viaene, J Vanthienen, ... Machine learning 54, 5-32, 2004 | 934 | 2004 |
| 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 | 769 | 2001 |
| Optimal control by least squares support vector machines JAK Suykens, J Vandewalle, B De Moor Neural networks 14 (1), 23-35, 2001 | 769 | 2001 |
| Artificial neural networks for modelling and control of non-linear systems JAK Suykens, JPL Vandewalle, BL De Moor Springer Science & Business Media, 2012 | 744 | 2012 |
| 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 | 577 | 2000 |
| Nonlinear modelling and support vector machines JAK Suykens Proceedings of the 18th IEEE Instrumentation and Measurement Technology …, 2001 | 540 | 2001 |
| Transductive LSTM for time-series prediction: An application to weather forecasting Z Karevan, JAK Suykens Neural Networks 125, 1-9, 2020 | 527 | 2020 |
| 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 | 519 | 2000 |
| 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 | 457 | 1993 |
| 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 | 445 | 2002 |
| 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 | 422 | 2010 |
| 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 | 413 | 2002 |
| 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 | 397 | 2004 |
| 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 | 387 | 2010 |
| 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 | 377 | 1999 |
De Moor BartKU Leuven ESAT-Stadius在 esat.kuleuven.be 的電子郵件地址已通過驗證
