| 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 | 174 | 2019 |
| 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 | 66 | 2016 |
| 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 | 41 | 2013 |
| 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 | 38 | 2013 |
| Interpretable genotype-to-phenotype classifiers with performance guarantees A Drouin, G Letarte, F Raymond, M Marchand, J Corbeil, F Laviolette Scientific reports 9 (1), 1-13, 2019 | 33 | 2019 |
| Deep learning for electromyographic hand gesture signal classification by leveraging transfer learning U Cotê-Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, ... arXiv preprint arXiv:1801.07756, 2018 | 21 | 2018 |
| Embedding Propagation: Smoother Manifold for Few-Shot Classification P Rodríguez, I Laradji, A Drouin, A Lacoste ECCV 2020, 2020 | 13 | 2020 |
| 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 | 10 | 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 | 8 | 2014 |
| 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 | 6 | 2016 |
| Maximum margin interval trees A Drouin, TD Hocking, F Laviolette arXiv preprint arXiv:1710.04234, 2017 | 4 | 2017 |
| Mass spectra alignment using virtual lock-masses F Brochu, PL Plante, A Drouin, D Gagnon, D Richard, F Durocher, ... Scientific reports 9 (1), 1-15, 2019 | 3 | 2019 |
| In search of robust measures of generalization GK Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ... arXiv preprint arXiv:2010.11924, 2020 | 2 | 2020 |
| Synbols: Probing learning algorithms with synthetic datasets A Lacoste, P Rodríguez, F Branchaud-Charron, P Atighehchian, M Caccia, ... arXiv preprint arXiv:2009.06415, 2020 | 2 | 2020 |
| Differentiable Causal Discovery from Interventional Data P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin arXiv preprint arXiv:2007.01754, 2020 | 2 | 2020 |
| Deep Learning for Electromyographic Hand Gesture Signal Classification by Leveraging Transfer Learning. CoRR 2018 UC Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, K Glette, ... arXiv preprint arXiv:1801.07756, 0 | 2 | |
| Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites F Ahsan, A Drouin, F Laviolette, D Precup, M Blanchette 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | | 2020 |
| In Search of Robust Measures of Generalization G Karolina Dziugaite, A Drouin, B Neal, N Rajkumar, E Caballero, L Wang, ... arXiv e-prints, arXiv: 2010.11924, 2020 | | 2020 |
| Gradient-based Neural DAG Learning with Interventions P Brouillard, A Drouin, S Lachapelle, A Lacoste, S Lacoste-Julien Workshop on Causal Learning for Decision Making, ICLR 2020, 2020 | | 2020 |
| Inferring phenotypes from genotypes with machine learning: an application to the global problem of antibiotic resistance A Drouin | | 2019 |
François LavioletteUniversité Laval, Associate member at MILAVerifierad e-postadress på ift.ulaval.ca
