Bioconda: sustainable and comprehensive software distribution for the life sciences B Grüning, R Dale, A Sjödin, BA Chapman, J Rowe, CH Tomkins-Tinch, ... Nature methods 15 (7), 475-476, 2018 | 949 | 2018 |
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 | 691 | 2019 |
Embedding Propagation: Smoother Manifold for Few-Shot Classification P Rodríguez, I Laradji, A Drouin, A Lacoste ECCV 2020, 2020 | 223 | 2020 |
Differentiable causal discovery from interventional data P Brouillard, S Lachapelle, A Lacoste, S Lacoste-Julien, A Drouin Advances in Neural Information Processing Systems 33, 21865-21877, 2020 | 172 | 2020 |
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 | 143 | 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 | 119 | 2019 |
In search of robust measures of generalization GK Dziugaite*, A Drouin*, B Neal, N Rajkumar, E Caballero, L Wang, ... Advances in Neural Information Processing Systems 33, 11723-11733, 2020 | 101 | 2020 |
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 | 62 | 2013 |
Lag-llama: Towards foundation models for probabilistic time series forecasting K Rasul, A Ashok, AR Williams, H Ghonia, R Bhagwatkar, A Khorasani, ... Preprint, 2024 | 57* | 2024 |
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 | 54 | 2013 |
TACTiS: Transformer-attentional copulas for time series A Drouin, É Marcotte, N Chapados International Conference on Machine Learning, 5447-5493, 2022 | 38 | 2022 |
Geo-bench: Toward foundation models for earth monitoring A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ... Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
Toward foundation models for earth monitoring: Proposal for a climate change benchmark A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ... arXiv preprint arXiv:2112.00570, 2021 | 24 | 2021 |
Deep learning for electromyographic hand gesture signal classification by leveraging transfer learning UC Allard, CL Fall, A Drouin, A Campeau-Lecours, C Gosselin, K Glette, ... ArXiv abs/1801.07756, 2018 | 22 | 2018 |
Causal discovery with language models as imperfect experts S Long, A Piché, V Zantedeschi, T Schuster, A Drouin arXiv preprint arXiv:2307.02390, 2023 | 21 | 2023 |
Synbols: Probing learning algorithms with synthetic datasets A Lacoste, P Rodríguez López, F Branchaud-Charron, P Atighehchian, ... Advances in Neural Information Processing Systems 33, 134-146, 2020 | 21 | 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 | 14 | 2013 |
Typing assumptions improve identification in causal discovery P Brouillard, P Taslakian, A Lacoste, S Lachapelle, A Drouin Conference on Causal Learning and Reasoning, 162-177, 2022 | 11 | 2022 |
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 | 11 | 2016 |
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 | 11 | 2014 |