Jos De Brabanter

25 papers B 3C 3Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2019 C conf
Using code generated by MATLAB for the Mold Level Control System of a Continuous Slab Caster in ArcelorMittal Gent.
ETFA
Philippe Saey, Steven De Wilde, Annemarie M. Kökösy, Jos Knockaert, Dimitri De Schuyter, Jos De Brabanter
2014 J jnl
Distributed, Signal Strength-Based Indoor Localization Algorithm for Use in Healthcare Environments.
IEEE J. Biomed. Health Informatics
Jeroen Wyffels, Jos De Brabanter, Pieter Crombez, Piet Verhoeve, Bart Nauwelaers, Lieven De Strycker
2013 J jnl
Derivative estimation with local polynomial fitting.
J. Mach. Learn. Res.
Kris De Brabanter, Jos De Brabanter, Bart De Moor, Irène Gijbels
2013 — conf
Model predictive control of a pilot-scale distillation column using a programmable automation controller.
ECC
Bart Huyck, Jos De Brabanter, Bart De Moor, Jan F. M. Van Impe, Filip Logist
2012 J jnl
Confidence bands for least squares support vector machine classifiers: A regression approach.
Pattern Recognit.
Kris De Brabanter, Peter Karsmakers, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2012 B conf
Robustness of kernel based regression: Influence and weight functions.
IJCNN
Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor
2011 J jnl
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression.
IEEE Trans. Neural Networks
Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2011 J jnl
Kernel Regression in the Presence of Correlated Errors.
J. Mach. Learn. Res.
Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2010 J jnl
Optimized fixed-size kernel models for large data sets.
Comput. Stat. Data Anal.
Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2009 — conf
Identification and control of a pilot scale binary distillation column.
ECC
Filip Logist, Bart Huyck, Maarten Fabré, Maarten Verwerft, Bert Pluymers, Jos De Brabanter, Bart De Moor, Jan F. M. Van Impe
2009 J jnl
Least conservative support and tolerance tubes.
IEEE Trans. Inf. Theory
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2009 — conf
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes.
ICANN (1)
Kris De Brabanter, Kristiaan Pelckmans, Jos De Brabanter, Michiel Debruyne, Johan A. K. Suykens, Mia Hubert, Bart De Moor
2007 J jnl
Support and Quantile Tubes
CoRR
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2006 — conf
Model order selection for quantification of a multi-exponential magnetic resonance spectrum.
EMBC
Andy Devos, Niki Bergans, Tom Dresselaers, Jos De Brabanter, Diana Maria Sima, Leentje Vanhamme, Florent Vanstapel, Paul Van Hecke, Sabine Van Huffel
2005 J jnl
Componentwise Least Squares Support Vector Machines
CoRR
Kristiaan Pelckmans, Ivan Goethals, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2005 J jnl
Handling missing values in support vector machine classifiers.
Neural Networks
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2005 B conf
Maximal variation and missing values for componentwise support vector machines.
IJCNN
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor, Jos De Brabanter
2005 J jnl
Primal-Dual Monotone Kernel Regression.
Neural Process. Lett.
Kristiaan Pelckmans, Marcelo Espinoza, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2005 J jnl
The differogram: Non-parametric noise variance estimation and its use for model selection.
Neurocomputing
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2003 — conf
Variogram based noise variance estimation and its use in kernel based regression.
NNSP
Kristiaan Pelckmans, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor
2002 — book
Least Squares Support Vector Machines
Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor, Joos Vandewalle
2002 B conf
Prediction of mental development of preterm newborns at birth time using LS-SVM.
ESANN
Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger
2002 C conf
Robust Cross-Validation Score Function for Non-linear Function Estimation.
ICANN
Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle
2002 J jnl
Weighted least squares support vector machines: robustness and sparse approximation.
Neurocomputing
Johan A. K. Suykens, Jos De Brabanter, Lukas Lukas, Joos Vandewalle
2001 C conf
Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines.
ICANN
Tony Van Gestel, Johan A. K. Suykens, Jos De Brabanter, Bart De Moor, Joos Vandewalle