Presentations
Influence of electric current conditions on peptide migration and fraction antimicrobial activities during electrodialysis with ultrafiltration membrane: a comprehensive machine learning-peptidomic study.
Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Ismail Fliss, Laurent Bazinet
Presentation at the congress OHID- One Health International Days 2024, Session «Environment as part of One Health», Lille, France.
Exploring the modulation of peptide migration and fraction bioactivity by electrical current modes during electrodialysis with ultrafiltration membrane: A comprehensive machine learning-peptidomic study.
Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Ismail Fliss, Laurent Bazinet
Presentation at the 115th AOCS annual meeting and expo 2024 «Beyond chemistry : solving complex problems together» co-located with the Sustainable Protein Forum, Session «protein and co-products», Québec, Canada.
L’apprentissage automatique pour l’optimisation et la compréhension de procédés en industrie bioalimentaire
Laurent Bazinet, Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Ismail Fliss
Presentation at the Semaine NumériQc 2024, Québec, Canada.
Apprentissage pseudo-Bayésien d’une représentation nouvelle obtenue grâce aux ondelettes.
Mathieu Bazinet, Pascal Germain
Presented as a part of the "concours de la relève" of the Semaine NumériQc 2023, un rassemblement provincial, Québec, Canada.
Progrès récents en électrodialyse avec membrane de filtration (ÉDMF) pour la séparation de peptides bioactifs : des applications à la mise à l’échelle.
Laurent Bazinet, Aurore Cournoyer, Mathieu Bazinet, Sabita Kadel, Thibaud Geoffroy, Loïc Hénaux
Presented at the provincial conference PROTEO 2023, Québec, Canada.
Pénalisation d'un modèle linéaire généralisé pour l'apprentissage d'un modèle équitable dans le cadre d'assurance.
Mathieu Bazinet, Samuel-Olivier Lépine, Liliane Ouedraogo, Michaël Rioux
Invited presentation for Desjardins Assurance Générale (2023).
Invited presentation for Beneva Assurance (2023).
Presented at the competition Actulab 2022, Québec, Canada.
How to induce selective separation of antimicrobial peptides by electrodialysis with filtration membrane?
Laurent Bazinet, Aurore Cournoyer, Gaétan Daigle, Mathieu Bazinet, Jacinthe Thibodeau
Presented at the international conference ANTIMIC 2022, Hammamet, Tunisie.
Effects of pulsed electric field and polarity reversal on the selectivity of peptides migration during electrodialysis with ultrafiltration membrane.
Aurore Cournoyer, Gaétan Daigle, Mathieu Bazinet, Jacinthe Thibodeau, Laurent Bazinet
Presented at the international congress MELPRO 2022, Prague, République Tchèque.
Posters
Sample Compression Unleashed : New Generalization Bounds for Real Valued Losses.
Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain.
Poster presented at the Montreal AI symposium (MAIS) 2024, Montréal, Canada.
See the poster
Influence of electric current conditions on peptide migration and fraction antimicrobial activities during electrodialysis with ultrafiltration membrane: a comprehensive machine learning-peptidomic study.
Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Ismail Fliss, Laurent Bazinet
Poster presented at the congress AntiMic 2024, Session «Innovative antimicrobial molecules of animal origin», Lille, France.
How selective peptide migration is induced by electrical current modes during electrodialysis with ultrafiltration: A comprehensive machine learning-based peptidomic approach.
Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Laurent Bazinet
Poster presented at the Congrès International Bénéfiq 2023, Québec, Canada.
Machine learning-based peptidomic approach to identify electrical current modes associated phenomena inducing selective peptide migration in electrodialysis with ultrafiltration membrane.
Aurore Cournoyer, Mathieu Bazinet, Jean-Pierre Clément, Pier-Luc Plante, Laurent Bazinet
Poster presented at the Symposium International GreenFoodTech 2023, Montréal, Canada.