Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines. - Tony Van Gestel; Johan A. K. Suykens; Jos De Brabanter; Bart De Moor; Joos Vandewalle (ICANN, 2001)

Least Squares Support Vector Machines - Johan A. K. Suykens; Tony Van Gestel; Jos De Brabanter; Bart De Moor; Joos Vandewalle (World Scientific, 2002)

Prediction of mental development of preterm newborns at birth time using LS-SVM. - Lieveke Ameye; Chuan Lu; Lukas Lukas; Jos De Brabanter; Johan A. K. Suykens; Sabine Van Huffel; Hans Daniels; Gunnar Naulaers; Hugo Devlieger (ESANN, 2002)

Robust Cross-Validation Score Function for Non-linear Function Estimation. - Jos De Brabanter; Kristiaan Pelckmans; Johan A. K. Suykens; Joos Vandewalle (ICANN, 2002)

Weighted least squares support vector machines: robustness and sparse approximation. - Johan A. K. Suykens; Jos De Brabanter; Lukas Lukas; Joos Vandewalle (Neurocomputing, 2002)

Variogram based noise variance estimation and its use in kernel based regression. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (NNSP, 2003)

Maximal variation and missing values for componentwise support vector machines. - Kristiaan Pelckmans; Johan A. K. Suykens; Bart De Moor; Jos De Brabanter (IJCNN, 2005)

Componentwise Least Squares Support Vector Machines - Kristiaan Pelckmans; Ivan Goethals; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (CoRR, 2005)

The differogram: Non-parametric noise variance estimation and its use for model selection. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neurocomputing, 2005)

Handling missing values in support vector machine classifiers. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neural Networks, 2005)

Primal-Dual Monotone Kernel Regression. - Kristiaan Pelckmans; Marcelo Espinoza; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Neural Process. Lett., 2005)

Model order selection for quantification of a multi-exponential magnetic resonance spectrum. - Andy Devos; Niki Bergans; Tom Dresselaers; Jos De Brabanter; Diana Maria Sima; Leentje Vanhamme; Florent Vanstapel; Paul Van Hecke; Sabine Van Huffel (EMBC, 2006)

Support and Quantile Tubes - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (CoRR, 2007)

Identification and control of a pilot scale binary distillation column. - Filip Logist; Bart Huyck; Maarten Fabré; Maarten Verwerft; Bert Pluymers; Jos De Brabanter; Bart De Moor; Jan F. M. Van Impe (ECC, 2009)

Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes. - Kris De Brabanter; Kristiaan Pelckmans; Jos De Brabanter; Michiel Debruyne; Johan A. K. Suykens; Mia Hubert; Bart De Moor (ICANN (1), 2009)

Least conservative support and tolerance tubes. - Kristiaan Pelckmans; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Inf. Theory, 2009)

Optimized fixed-size kernel models for large data sets. - Kris De Brabanter; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Comput. Stat. Data Anal., 2010)

Kernel Regression in the Presence of Correlated Errors. - Kris De Brabanter; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (J. Mach. Learn. Res., 2011)

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression. - Kris De Brabanter; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Neural Networks, 2011)

Robustness of kernel based regression: Influence and weight functions. - Kris De Brabanter; Jos De Brabanter; Johan A. K. Suykens; Joos Vandewalle; Bart De Moor (IJCNN, 2012)

Confidence bands for least squares support vector machine classifiers: A regression approach. - Kris De Brabanter; Peter Karsmakers; Jos De Brabanter; Johan A. K. Suykens; Bart De Moor (Pattern Recognit., 2012)

Model predictive control of a pilot-scale distillation column using a programmable automation controller. - Bart Huyck; Jos De Brabanter; Bart De Moor; Jan F. M. Van Impe; Filip Logist (ECC, 2013)

Derivative estimation with local polynomial fitting. - Kris De Brabanter; Jos De Brabanter; Bart De Moor; Irène Gijbels (J. Mach. Learn. Res., 2013)

Distributed, Signal Strength-Based Indoor Localization Algorithm for Use in Healthcare Environments. - Jeroen Wyffels; Jos De Brabanter; Pieter Crombez; Piet Verhoeve; Bart Nauwelaers; Lieven De Strycker (IEEE J. Biomed. Health Informatics, 2014)

Using code generated by MATLAB for the Mold Level Control System of a Continuous Slab Caster in ArcelorMittal Gent. - Philippe Saey; Steven De Wilde; Annemarie M. Kökösy; Jos Knockaert; Dimitri De Schuyter; Jos De Brabanter (ETFA, 2019)