Developing neural network architectures for functional data analysis May 29, 2023SSC 2023 Annual Meeting, Ottawa, Ontario, Canada
Neural Network Disease Classification Based Feature Extraction for Imaging Genetics. June 03, 2022SSC 2022 Annual Meeting, Vancouver, British Columbia, Canada (Online)
Variational Autoencoders: an introduction to new applications and a new regularization approach. October 13, 2021University of Victoria Statistics Seminar, Victoria, British Columbia, Canada
Performance and accessibility of statistical learning algorithms for applied data analysis. December 18, 2020PhD Defense, Toronto, Ontario, Canada
Auto-encodeur variationnel: vers de nouvelles applications et une mise à jour de la théorie. November 05, 2020Séminaire de STATQAM, Montréal, Québec, Canada
Génération d’images : Une application de l’apprentissage automatique. March 15, 2019SÉSÀM 2019, Montréal, Québec, Canada
Utilisation des chaînes de Markov cachés pour estimer la position d’un agent mobile. January 14, 2017SUMM 2017, Montréal, Québec, Canada
Estimation de la position d’un agent mobile dans un environnement bornée grâce aux modèles de Markov cachés. July 02, 2015EMoSta Seminar, Montréal, Québec, Canada
Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi-modal deep learning approach August 01, 2022AAIC 2022, San Diego, USA
Deep-Learning-Based Multi-modal Survival Analysis for Alzheimer’s Disease June 20, 2022OHBM 2022 Annual Meeting, Glasgow, UK
Neural Networks with Functional Responses (Poster Presentation Award) May 30, 2022SSC 2022 Annual Meeting, Online
A Linear State-Space Model to Predict Hourly Electricity Demand June 01, 2020SSC 2020 Annual Meeting, Online
Controllable content generator (Best Poster Award) April 25, 2019Statistics Graduate Student Research Day 2019, Toronto, Ontario, Canada
