Presentations
Séparation de peptides bioactifs par électrodialyse avec membrane de filtration : Des applications aux coproduits marins à l’intelligence artificielle.
Laurent Bazinet, Rachel Durand, Loïc Hénaux, Aurore Cournoyer, Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Marie-Ève Bernier, Hairati Aboubacar, Juan de Toro-Martín, Jean-Pierre Clément, Marie-Claude Vohl, Rozenn Ravallec, Benoit Cudennec, Geneviève Pilon, Pascal Germain, André Marette.
Presentation at the Tunisian-Canadian Symposium on Marine Products “Challenges, Innovations and Opportunities for Sustainable Management”, Session 3 “Valorization of Marine Co-Products”, Tunis (Tunisia).
Machine learning for bioactive peptide identification and understanding of bio-processes
Laurent Bazinet, Aurore Cournoyer, Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Marie-Ève Bernier, Hairati Aboubacar, Juan de Toro-Martín, Jean-Pierre Clément, Marie-Claude Vohl, Rozenn Ravallec, Benoit Cudennec, Pascal Germain.
Presentation at the GreenFoodTech 2025 international congress “Sustainable transformation for tomorrow’s food”, Saint-Malo (France).
How hydrolysis duration and discoloration impact peptide population and antimicrobial activities of chicken cruor hydrolysates.
Delasa Rahimi, Mathieu Bazinet, Zain Sanchez-Reinoso, Juan de Toro-Martín, Ismail Fliss, Sergey Mikhaylin, Laurent Bazinet.
Presentation at the INAF student symposium “Sustainable Food: Cultivating Our Health and That of Our Planet”, Theme 3 “Peptides and Proteins”, Quebec (QC).
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 accepted at the international conference on Artificial Intelligence and Statistics 2025.
Poster accepted at the Workshop on Mathematics of Modern Machine Learning of NeurIPS 2024.
Poster accepted at the Workshop on Machine Learning and Compression of NeurIPS 2024.
Poster presented at the Montreal AI symposium (MAIS) 2024, Montréal, Canada.
See the AISTATS poster
See the NeurIPS poster See the MAIS poster
Application of machine learning tools to study the synergistic impact of physicochemical properties of peptides and filtration membranes on peptide migration during electrodialysis with filtration membranes.
Zain Sanchez-Reinoso, Mathieu Bazinet, Benjamin Leblanc, Jean-Pierre Clément, Pascal Germain, Laurent Bazinet.
Poster accepted at the GreenFoodTech 2025 international congress “Sustainable transformation for tomorrow’s food”.
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning.
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain
Poster presented at the Workshop on Machine Learning and Compression of NeurIPS 2024.
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.
