Johan Suykens

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Joos VandewalleProfessor at Electrical Engineering Dept (ESAT-Stadius) KULeuvenVerified email at esat.kuleuven.be
De Moor BartKU Leuven ESAT-StadiusVerified email at esat.kuleuven.be
Kristiaan PelckmansUppsala UniversityVerified email at it.uu.se
Sabine Van HuffelKU LeuvenVerified email at esat.kuleuven.be
Xiaolin Huang (黄晓霖)Associate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Rocco LangoneResearcher, KU LeuvenVerified email at esat.kuleuven.be
Carlos AlzateGeneral Manager, AI Fund - ColombiaVerified email at aifund.ai
LukasAssociate Professor of Electrical Engineering, Universitas Katolik Indonesia Atma JayaVerified email at atmajaya.ac.id
Müştak E. YalçınIstanbul Technical UniversityVerified email at itu.edu.tr
Siamak MehrkanoonAssistant Professor, Utrecht UniversityVerified email at uu.nl
Bart BaesensFull professor, KU LeuvenVerified email at kuleuven.be
Kris De BrabanterAssociate Professor of Statistics and Industrial Manufacturing & Systems EngineeringVerified email at iastate.edu
Raghvendra Mall | राघवेंद्र मल्लComputational Scientist at St. Jude Children's Research HospitalVerified email at stjude.org
Lieven De LathauwerKULeuvenVerified email at kuleuven.be
Jan VanthienenKU LeuvenVerified email at kuleuven.be
Jan LutsData Scientist, EverisVerified email at uts.edu.au
Stijn ViaeneVlerick Business SchoolVerified email at vlerick.com
Tillmann FalckBosch ResearchVerified email at de.bosch.com
Samuel Xavier-de-SouzaAssociate Professor, Universidade Federal do Rio Grande do NorteVerified email at dca.ufrn.br
Yunlong FengAssistant Professor, State University of New York at AlbanyVerified email at albany.edu

Johan Suykens

Professor, KU Leuven

Verified email at esat.kuleuven.be - Homepage

AI Machine Learning Systems and Control Complex Networks Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Least squares support vector machine classifiers JAK Suykens, J Vandewalle Neural Processing Letters 9 (3), 293-300, 1999	11563	1999
Least squares support vector machines JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle World Scientific, 2002	5736*	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	1670	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	1111	2003
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	861	2004
Optimal control by least squares support vector machines JAK Suykens, J Vandewalle, B De Moor Neural networks 14 (1), 23-35, 2001	716	2001
Artificial neural networks for modelling and control of non-linear systems JAK Suykens, JPL Vandewalle, BL de Moor Springer Science & Business Media, 1995	637	1995
Least Squares Support Vector Machines JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle World Scientific, 2002	546*	2002
Least Squares Support Vector Machines JAK Suykens, T Van Gestel, J De Brabanter, B De Moor, J Vandewalle World Scientific, 2002	546*	2002
Recurrent least squares support vector machines JAK Suykens, J Vandewalle IEEE Transactions on Circuits and Systems I: Fundamental Theory and …, 2000	546	2000
Sparse approximation using least squares support vector machines JAK Suykens, L Lukas, J Vandewalle 2000 IEEE International Symposium on Circuits and Systems (ISCAS) 2, 757-760, 2000	501	2000
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	501	2000
Nonlinear modelling and support vector machines JAK Suykens Proceedings of the 18th IEEE Instrumentation and Measurement Technology …, 2001	500	2001
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	481	2001
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	429	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	417	2002
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	372	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	366	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	346	2010
Families of scroll grid attractors ME Yalcin, JAK Suykens, J Vandewalle, S Ozoguz International Journal of Bifurcation and Chaos 12 (1), 23-42, 2002	336	2002

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