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2020 – today
- 2023
[c2]Baptiste Bauvin, Cécile Capponi, Florence Clerc, Pascal Germain, Sokol Koço, Jacques Corbeil:
Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data. UAI 2023: 130-140- [i2]Thibaud Godon, Baptiste Bauvin, Pascal Germain, Jacques Corbeil, Alexandre Drouin:
Invariant Causal Set Covering Machines. CoRR abs/2306.04777 (2023) - 2022
- [j2]Dominique Benielli, Baptiste Bauvin, Sokol Koço, Riikka Huusari, Cécile Capponi, Hachem Kadri, François Laviolette:
Toolbox for Multimodal Learn (scikit-multimodallearn). J. Mach. Learn. Res. 23: 51:1-51:7 (2022) - [c1]Baptiste Bauvin, Jacques Corbeil, Dominique Benielli, Sokol Koço, Cécile Capponi:
Integrating and reporting full multi-view supervised learning experiments using SuMMIT. LIDTA 2022: 139-150 - [i1]Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin, Elina Francovic-Fontaine, Alexandre Drouin, Jacques Corbeil:
RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data. CoRR abs/2208.06436 (2022) - 2020
- [j1]Baptiste Bauvin
, Cécile Capponi, Jean-Francis Roy, François Laviolette:
Fast greedy C-bound minimization with guarantees. Mach. Learn. 109(9-10): 1945-1986 (2020)
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