Sébastien Giguère

Publication Activity (10 Years)

Years Active: 2012-2015
Publications (10 Years): 0

Top Topics

Biomarker Discovery

Kernel Ridge Regression

Top Venues

Publications

Sébastien Giguère, François Laviolette, Mario Marchand, Denise M. Tremblay, Sylvain Moineau, Xinxia Liang, Éric Biron, Jacques Corbeil
Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery. PLoS Comput. Biol. 11 (4) (2015)
Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction. ICML (2015)
Alexandre Drouin, Sébastien Giguère, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance. CoRR (2015)
Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand
On the String Kernel Pre-Image Problem with Applications in Drug Discovery. CoRR (2014)
Alexandre Drouin, Sébastien Giguère, Vladana Sagatovich, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine. CoRR (2014)
Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. ICML (1) (2013)
Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil
Learning a peptide-protein binding affinity predictor with kernel ridge regression. BMC Bioinform. 14 (2013)
Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, Claude-Guy Quimper
A Pseudo-Boolean Set Covering Machine. CP (2012)
Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil
Learning a peptide-protein binding affinity predictor with kernel ridge regression CoRR (2012)