- 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.
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