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)

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)

Sparse LS-SVMs with L0 - norm minimization. - Jorge López Lázaro; Kris De Brabanter; José R. Dorronsoro; Johan A. K. Suykens (ESANN, 2011)

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)

Sparse conjugate directions pursuit with application to fixed-size kernel models. - Peter Karsmakers; Kristiaan Pelckmans; Kris De Brabanter; Hugo Van hamme; Johan A. K. Suykens (Mach. Learn., 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)

Deconvolution in nonparametric statistics. - Kris De Brabanter; Bart De Moor (ESANN, 2012)

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)

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

New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems. - Minta Thomas; Kris De Brabanter; Bart De Moor (BMC Bioinform., 2014)

Predicting breast cancer using an expression values weighted clinical classifier. - Minta Thomas; Kris De Brabanter; Johan A. K. Suykens; Bart De Moor (BMC Bioinform., 2014)

Wavelet Filter Design for Pavement Roughness Analysis. - Ahmad Alhasan; David J. White; Kris De Brabanter (Comput. Aided Civ. Infrastructure Eng., 2016)

fourierin: An R package to compute Fourier integrals. - Guillermo Basulto-Elias; Alicia L. Carriquiry; Kris De Brabanter; Daniel J. Nordman (R J., 2017)

Derivative Estimation in Random Design. - Yu Liu 080; Kris De Brabanter (NeurIPS, 2018)

Smoothed Nonparametric Derivative Estimation using Weighted Difference Quotients. - Yu Liu 080; Kris De Brabanter (J. Mach. Learn. Res., 2020)