Kris De Brabanter

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Assistant Professor

Recent Publications:

  • Kris De Brabanter, Paola Gloria Ferrario & László Györfi. , Detecting ineffective features for nonparametric regression. In Regularization, Optimization, Kernels, and Support Vector Machines, Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou, (eds), Chapman & Hall/CRC Machine Learning and Pattern Recognition Series Accepted
  • Minta T., De Brabanter K., De Moor B (2014), 'New Bandwidth Selection Criterion for Kernel PCA: Approach to Dimensionality Reduction and Classification Problems', BMC Bioinformatics Accepted
  • K. De Brabanter, J.A.K. Suykens & B. De Moor (2013), 'Nonparametric regression via StatLSSVM', Journal of Statistical Software Vol. 55, No. 2, Pages 1-21.
Area of Expertise: 
Statistics
Education: 
PhD, Katholieke Universiteit Leuven, Leuven, Belgium, 2011 MS, Erasmus hogeschool Brussel & Katholieke Universiteit Leuven, Anderlecht, Belgium (2005) & Leuven, Belgium, 2007 BS, Erasmus hogeschool Brussel, Anderlecht, Belgium, 2003
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