Alexandre Drouin
Alexandre Drouin
Research Scientist, Element AI
Verified email at - Homepage
TitleCited byYear
Deep learning for electromyographic hand gesture signal classification using transfer learning
U Côté-Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (4 …, 2019
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), 82, 2013
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), 754, 2016
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
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
Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning
M Latulippe, A Drouin, P Giguère, F Laviolette
Proceedings of the Twenty-Third International Joint Conference on Artificial …, 2013
Large scale modeling of antimicrobial resistance with interpretable classifiers
A Drouin, F Raymond, GL St-Pierre, M Marchand, J Corbeil, F Laviolette
arXiv preprint arXiv:1612.01030, 2016
Interpretable genotype-to-phenotype classifiers with performance guarantees
A Drouin, G Letarte, F Raymond, M Marchand, J Corbeil, F Laviolette
Scientific reports 9 (1), 4071, 2019
Maximum margin interval trees
A Drouin, T Hocking, F Laviolette
Advances in Neural Information Processing Systems, 4947-4956, 2017
Mass spectra alignment using virtual lock-masses
F Brochu, PL Plante, A Drouin, D Gagnon, D Richard, F Durocher, ...
Scientific reports 9 (1), 8469, 2019
Inferring phenotypes from genotypes with machine learning: an application to the global problem of antibiotic resistance
A Drouin
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
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
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