Sébastien Giguère

发表

A Pseudo-Boolean Set Covering Machine

François Laviolette, Claude-Guy Quimper, Pascal Germain, 2012, CP.

Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery

François Laviolette, Mario Marchand, Jacques Corbeil, 2015, PLoS Comput. Biol..

On the String Kernel Pre-Image Problem with Applications in Drug Discovery pdf

François Laviolette, Mario Marchand, Amélie Rolland, 2014, ArXiv.

Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine pdf

François Laviolette, Mario Marchand, Alexandre Drouin, 2014, ArXiv.

Learning a peptide-protein binding affinity predictor with kernel ridge regression

François Laviolette, Mario Marchand, Alexandre Drouin, 2012, BMC Bioinformatics.

Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction

François Laviolette, Mario Marchand, Amélie Rolland, 2015, ICML.

Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction

François Laviolette, Mario Marchand, Sébastien Giguère, 2013, ICML.

Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance pdf

François Laviolette, Mario Marchand, Alexandre Drouin, 2015, ArXiv.

Mo1679 REAL-TIME ARTIFICIAL INTELLIGENCE “FULL COLONOSCOPY WORKFLOW” FOR AUTOMATIC DETECTION FOLLOWED BY OPTICAL BIOPSY OF COLORECTAL POLYPS

Nicolas Guizard, Nicolas Chapados, Douglas K. Rex, 2018, Gastrointestinal Endoscopy.

Machine Learning of Global Phosphoproteomic Profiles Enables Discrimination of Direct versus Indirect Kinase Substrates*

Mike Tyers, Sébastien Giguère, Pierre Thibault, 2017, Molecular & Cellular Proteomics.

Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons

François Laviolette, Mike Tyers, Mario Marchand, 2016, BMC Genomics.