A Pseudo-Boolean Set Covering Machine. - Pascal Germain; Sébastien Giguère; Jean-Francis Roy; Brice Zirakiza; François Laviolette; Claude-Guy Quimper (CP, 2012)

Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. - Sébastien Giguère; François Laviolette; Mario Marchand; Khadidja Sylla (ICML (1), 2013)

Learning a peptide-protein binding affinity predictor with kernel ridge regression. - Sébastien Giguère; Mario Marchand; François Laviolette; Alexandre Drouin; Jacques Corbeil (BMC Bioinform., 2013)

Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine. - Alexandre Drouin; Sébastien Giguère; Vladana Sagatovich; Maxime Déraspe; François Laviolette; Mario Marchand; Jacques Corbeil (CoRR, 2014)

On the String Kernel Pre-Image Problem with Applications in Drug Discovery. - Sébastien Giguère; Amélie Rolland; François Laviolette; Mario Marchand (CoRR, 2014)

Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction. - Sébastien Giguère; Amélie Rolland; François Laviolette; Mario Marchand (ICML, 2015)

Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance. - Alexandre Drouin; Sébastien Giguère; Maxime Déraspe; François Laviolette; Mario Marchand; Jacques Corbeil (CoRR, 2015)

Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery. - Sébastien Giguère; François Laviolette; Mario Marchand; Denise M. Tremblay; Sylvain Moineau; Xinxia Liang; Éric Biron; Jacques Corbeil (PLoS Comput. Biol., 2015)