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.

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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.

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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.

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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.

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