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papers

Publications (13)

Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance

Alexandre Drouin, SÃ©bastien GiguÃ¨re, Maxime DÃ©raspe +3

Sequential Model-Based Ensemble Optimization

Alexandre Lacoste, Hugo Larochelle, FranÃ§ois Laviolette +1

Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm

Pascal Germain, Alexandre Lacasse, FranÃ§ois Laviolette +2

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

Alexandre Drouin, SÃ©bastien GiguÃ¨re, Vladana Sagatovich +4

Domain-Adversarial Neural Networks

Hana Ajakan, Pascal Germain, Hugo Larochelle +2

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

SÃ©bastien GiguÃ¨re, AmÃ©lie Rolland, FranÃ§ois Laviolette +1

A Note on Improved Loss Bounds for Multiple Kernel Learning

Zakria Hussain, John Shawe-Taylor, Mario Marchand

Domain-Adversarial Training of Neural Networks

Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan +5

Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data

Mohak Shah, Mario Marchand, Jacques Corbeil

Improved design and screening of high bioactivity peptides for drug discovery

SÃ©bastien GiguÃ¨re, FranÃ§ois Laviolette, Mario Marchand +4

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

SÃ©bastien GiguÃ¨re, Mario Marchand, FranÃ§ois Laviolette +2

Large scale modeling of antimicrobial resistance with interpretable classifiers

Alexandre Drouin, FrÃ©dÃ©ric Raymond, GaÃ«l Letarte St-Pierre +3

Efficient Learning of Ensembles with QuadBoost

Louis Fortier-Dubois, FranÃ§ois Laviolette, Mario Marchand +2