Partially supervised feature selection with regularized linear models. - Thibault Helleputte; Pierre Dupont (ICML, 2009)

Feature Selection by Transfer Learning with Linear Regularized Models. - Thibault Helleputte; Pierre Dupont (ECML/PKDD (1), 2009)

Expectation Propagation for Bayesian Multi-task Feature Selection. - Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Thibault Helleputte; Pierre Dupont (ECML/PKDD (1), 2010)

Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. - Thomas Abeel; Thibault Helleputte; Yves Van de Peer; Pierre Dupont; Yvan Saeys (Bioinform., 2010)

Inductive biases for stable feature selection in high dimensional spaces: applications to gene profiling and diagnosis from DNA microarrays. - Thibault Helleputte (2010)

Machine learning in the biopharma industry. - Gaël de Lannoy; Thibault Helleputte; Paul Smyth (ESANN, 2020)