François Laviolette

Publications

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data. Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin, Élina Francovic-Fontaine, Alexandre Drouin, François Laviolette, Jacques Corbeil. At Intelligent Systems for Molecular Biology and European Conference on Computational Biology, 2021.

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Phylogenetic Manifold Regularization: a semi-supervised approach to predict transcription factor binding sites. Faizy Ahsan, Alexandre Drouin, François Laviolette, Doina Precup, Mathieu Blanchette. At International Conference on Bioinformatics and Biomedicine (BIBM), 2020.

Mass spectra alignment using virtual lock-masses. Francis Brochu, Pier-Luc Plante, Alexandre Drouin, Dominic Gagnon, Dave Richard, Francine Durocher, Caroline Diorio, Mario Marchand, Jacques Corbeil, François Laviolette. At Nature Scientific Reports, 2019.

Interpretable genotype-to-phenotype classifiers with performance guarantees. Alexandre Drouin, Gaël Letarte, Frédéric Raymond, Mario Marchand, Jacques Corbeil, François Laviolette. At Nature Scientific Reports, 2018.

Deep learning for electromyographic hand gesture signal classification using transfer learning. Ulysse Cote-Allard, Cheikh Latyr Fall, Alexandre Drouin, Alexandre Campeau-Lecours, Clement Gosselin, Kyrre Glette, François Laviolette, Benoit Gosselin. At Transactions on Neural Systems and Rehabilitation Engineering (IEEE NSRE), 2018.