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ORCIDSébastien Giguère
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2010 – 2019
- 2015
[j2]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)- [c3]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: 2021-2029 - [i4]Alexandre Drouin, Sébastien Giguère, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil:
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance. CoRR abs/1505.06249 (2015) - 2014
- [i3]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 abs/1412.1074 (2014) - [i2]Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand:
On the String Kernel Pre-Image Problem with Applications in Drug Discovery. CoRR abs/1412.1463 (2014) - 2013
- [j1]Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil:
Learning a peptide-protein binding affinity predictor with kernel ridge regression. BMC Bioinform. 14: 82 (2013) - [c2]Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla:
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction. ICML (1) 2013: 107-114 - 2012
- [c1]Pascal Germain, Sébastien Giguère, Jean-Francis Roy, Brice Zirakiza, François Laviolette, Claude-Guy Quimper:
A Pseudo-Boolean Set Covering Machine. CP 2012: 916-924 - [i1]Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil:
Learning a peptide-protein binding affinity predictor with kernel ridge regression. CoRR abs/1207.7253 (2012)
Coauthor Index
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