Jos De Brabanter
Jos De Brabanter
Professor
Verified email at esat.kuleuven.be
Title
Cited by
Cited by
Year
Least squares support vector machines
JAK Suykens, T Van Gestel, J De Brabanter
World scientific, 2002
51142002
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
15762002
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
7092001
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
3902002
Antioxidant potential of microalgae in relation to their phenolic and carotenoid content
K Goiris, K Muylaert, I Fraeye, I Foubert, J De Brabanter, L De Cooman
Journal of applied phycology 24 (6), 1477-1486, 2012
3592012
LS-SVMlab toolbox user's guide: version 1.7
K De Brabanter, P Karsmakers, F Ojeda, C Alzate, J De Brabanter, ...
Katholieke Universiteit Leuven, 2010
2982010
Handling missing values in support vector machine classifiers
K Pelckmans, J De Brabanter, JAK Suykens, B De Moor
Neural Networks 18 (5-6), 684-692, 2005
1682005
Approximate confidence and prediction intervals for least squares support vector regression
K De Brabanter, J De Brabanter, JAK Suykens, B De Moor
IEEE Transactions on Neural Networks 22 (1), 110-120, 2010
1302010
Optimized fixed-size kernel models for large data sets
K De Brabanter, J De Brabanter, JAK Suykens, B De Moor
Computational Statistics & Data Analysis 54 (6), 1484-1504, 2010
1282010
Promoting question-asking in school-aged children with autism spectrum disorders: Effectiveness of a robot intervention compared to a human-trainer intervention
B Huskens, R Verschuur, J Gillesen, R Didden, E Barakova
Developmental neurorehabilitation 16 (5), 345-356, 2013
1262013
LS-SVMlab toolbox user’s guide
K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ...
Pattern recognition letters 24 (2003), 659-675, 2003
822003
Robustness of kernel based regression: a comparison of iterative weighting schemes
K De Brabanter, K Pelckmans, J De Brabanter, M Debruyne, JAK Suykens, ...
International conference on artificial neural networks, 100-110, 2009
722009
Derivative Estimation with Local Polynomial Fitting.
K De Brabanter, J De Brabanter, B De Moor, I Gijbels
Journal of Machine Learning Research 14 (1), 2013
612013
Ultrasound assessment of endometrial thickness and endometrial polyps in women on hormonal replacement therapy
T Van den Bosch, D Van Schoubroeck, L Ameye, J De Brabanter, ...
American journal of obstetrics and gynecology 188 (5), 1249-1253, 2003
612003
Glycemic penalty index for adequately assessing and comparing different blood glucose control algorithms
T Van Herpe, J De Brabanter, M Beullens, B De Moor, G Van den Berghe
Critical Care 12 (1), 1-14, 2008
582008
LS-SVMlab toolbox user’s guide version 1.5
K Pelckmans, JAK Suykens, T Van Gestel, J De Brabanter, L Lukas, ...
Katholiede Univeristeit Leuven, Belgium, unpublished. Available http://www …, 2003
582003
Kernel canonical correlation analysis and least squares support vector machines
T Van Gestel, JAK Suykens, J De Brabanter, B De Moor, J Vandewalle
International conference on artificial neural networks, 384-389, 2001
582001
Towards online model predictive control on a programmable logic controller: Practical considerations
B Huyck, HJ Ferreau, M Diehl, J De Brabanter, JFM Van Impe, B De Moor, ...
Mathematical Problems in Engineering 2012, 2012
562012
Kernel Regression in the Presence of Correlated Errors.
K De Brabanter, J De Brabanter, JAK Suykens, B De Moor
Journal of Machine Learning Research 12 (6), 2011
512011
Online model predictive control of industrial processes using low level control hardware: A pilot-scale distillation column case study
B Huyck, J De Brabanter, B De Moor, JF Van Impe, F Logist
Control Engineering Practice 28, 34-48, 2014
462014
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Articles 1–20