Fast greedy C-bound minimization with guarantees. - Baptiste Bauvin; Cécile Capponi; Jean-Francis Roy; François Laviolette (Mach. Learn., 2020)

Integrating and reporting full multi-view supervised learning experiments using SuMMIT. - Baptiste Bauvin; Jacques Corbeil; Dominique Benielli; Sokol Koço; Cécile Capponi (LIDTA, 2022)

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data. - Thibaud Godon; Pier-Luc Plante; Baptiste Bauvin; Elina Francovic-Fontaine; Alexandre Drouin; Jacques Corbeil (CoRR, 2022)

Toolbox for Multimodal Learn (scikit-multimodallearn). - Dominique Benielli; Baptiste Bauvin; Sokol Koço; Riikka Huusari; Cécile Capponi; Hachem Kadri; François Laviolette (J. Mach. Learn. Res., 2022)

Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data. - Baptiste Bauvin; Cécile Capponi; Florence Clerc; Pascal Germain; Sokol Koço; Jacques Corbeil (UAI, 2023)

Invariant Causal Set Covering Machines. - Thibaud Godon; Baptiste Bauvin; Pascal Germain; Jacques Corbeil; Alexandre Drouin (CoRR, 2023)