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Sébastien Giguère
Sébastien Giguère
Valence Discovery
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Title
Cited by
Year
Towards interpretable sparse graph representation learning with laplacian pooling
E Noutahi, D Beaini, J Horwood, S Giguère, P Tossou
arXiv preprint arXiv:1905.11577, 2019
352019
Machine learning of global phosphoproteomic profiles enables discrimination of direct versus indirect kinase substrates
E Kanshin, S Giguère, C Jing, M Tyers, P Thibault
Molecular & Cellular Proteomics 16 (5), 786-798, 2017
372017
Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons
A Drouin, S Giguère, M Déraspe, M Marchand, M Tyers, VG Loo, ...
BMC genomics 17, 1-15, 2016
1332016
Set Covering Machines and Reference-Free Genome Comparisons Uncover Predictive Biomarkers of Antibiotic Resistance
A Drouin, S Giguère, M Déraspe, M Marchand, J Corbeil, F Laviolette
2016
Algorithms for the hard pre-image problem of string kernels and the general problem of string prediction
S Giguere, A Rolland, F Laviolette, M Marchand
International Conference on Machine Learning, 2021-2029, 2015
72015
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance
A Drouin, S Giguère, M Déraspe, F Laviolette, M Marchand, J Corbeil
arXiv preprint arXiv:1505.06249, 2015
2015
Machine learning assisted design of highly active peptides for drug discovery
D Tremblay, É Biron, S Giguère, S Moineau, F Laviolette, X Liang, ...
Public Library of Science, 2015
2015
Machine learning assisted design of highly active peptides for drug discovery
S Giguere, F Laviolette, M Marchand, D Tremblay, S Moineau, X Liang, ...
PLoS computational biology 11 (4), e1004074, 2015
692015
Algorithmes d'apprentissage automatique pour la conception de composés pharmaceutiques et de vaccins
S Giguère
Université Laval, 2015
2015
On the String Kernel Pre-Image Problem with Applications in Drug Discovery
S Giguere, A Rolland, F Laviolette, M Marchand
arXiv preprint arXiv:1412.1463, 2014
2014
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
A Drouin, S Giguere, V Sagatovich, M Déraspe, F Laviolette, M Marchand, ...
arXiv preprint arXiv:1412.1074, 2014
112014
Pac-bayesian risk bounds and learning algorithms for the regression approach to structured output prediction
S Giguere, F Laviolette, M Marchand, A Rolland
22014
MHC-NP: predicting peptides naturally processed by the MHC
S Giguère, A Drouin, A Lacoste, M Marchand, J Corbeil, F Laviolette
Journal of immunological methods 400, 30-36, 2013
582013
Learning a peptide-protein binding affinity predictor with kernel ridge regression
S Giguere, M Marchand, F Laviolette, A Drouin, J Corbeil
BMC bioinformatics 14, 1-16, 2013
522013
Improved design and screening of high bioactivity peptides for drug discovery
S Giguere, F Laviolette, M Marchand, D Tremblay, S Moineau, É Biron, ...
arXiv preprint arXiv:1311.3573, 2013
2013
Risk bounds and learning algorithms for the regression approach to structured output prediction
S Giguère, F Laviolette, M Marchand, K Sylla
International Conference on Machine Learning, 107-114, 2013
142013
A pseudo-Boolean set covering machine
P Germain, S Giguere, JF Roy, B Zirakiza, F Laviolette, CG Quimper
Principles and Practice of Constraint Programming: 18th International …, 2012
42012
Entre le chaos primordial et l'émergence des êtres vivants: le problème du principe anthropique
S Giguère
National Library of Canada= Bibliothèque nationale du Canada, Ottawa, 2001
2001
ICML 2013–SUPPLEMENTARY MATERIAL
S Giguere, F Laviolette, M Marchand, K Sylla
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Articles 1–19