Processus de coalescence pour un échantillon stratifié
Unpublished work, 2011
Posts by Collection
miscellaneous
Utilisation des modèles de semi-Markov cachés à des fins d’amélioration d’intelligences artificielles dans les jeux vidéo
Unpublished work, 2013
Utilisation des modèles de Markov cachés dans l’objectif de modéliser certaines séries chronologiques
Unpublished work, 2014
Statistical Learning Techniques : A review
Unpublished work, 2016
Inference on latent variable models
Unpublished work, 2017
Controllable content generation
Unpublished work, 2019
Variational Autoencoders: theory, implementation and unanswered questions
Unpublished work, 2019
The integration of functional data analysis in conditional image generation
Unpublished work, 2022
posters
publications
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models
Cédric Beaulac and Fabrice Larribe
Published in International Journal of Computer Games Technology, February 2017
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A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
Cédric Beaulac, Jeffrey S. Rosenthal and David Hodgson
Published in Proceedings of the Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, December 2018
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Predicting University Students’ Academic Success and Major using Random Forests
Cédric Beaulac and Jeffrey S. Rosenthal
Published in Research in Higher Education, January 2019
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BEST : A decision tree algorithm that handles missing values
Cédric Beaulac and Jeffrey S. Rosenthal
Published in Computational Statistics, April 2020
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An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne Wolden and David Hodgson
Published in Applied Artificial Intelligence, October 2020
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Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics
Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg and Farouk S. Nathoo
Preprint submitted for review.
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Neural Networks for Scalar Input and Functional Output
Sidi Wu, Cédric Beaulac and Jiguo Cao
Preprint submitted for review.
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Predicting Time-to-conversion for Dementia of Alzheimer’s Type using Multi-modal Deep Survival Analysis
Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E Galvin, Lei Wang and Mirza Faisal Beg
Published in Neurobiology of Aging, January 2023
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Introducing a new high-resolution hand-written digits data set with writer characteristics
Cédric Beaulac and Jeffrey S. Rosenthal
Published in SN Computer Science, January 2023
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A moment-matching metric for latent variable generative models
Cédric Beaulac
Accepted for publication in Machine Learning
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talks
Handling Missing Values with BEST
Published:
Auto-encodeur variationnel: vers de nouvelles applications et une mise à jour de la théorie.
Published:
Performance and accessibility of statistical learning algorithms for applied data analysis.
Published:
Démystifier les réseaux de neurones
Published:
Variational Autoencoders: an introduction to new applications and a new regularization approach.
Published:
teaching
Sidi Wu
Ph.D at Simon Fraser University, started in September 2018
Yasaman Shahhosseini
Ph.D at University of Victoria, started in September 2021
Ghazal Mirabnahrazam
MS.c at Simon Fraser University, completed in August 2022
Valentin Larchevêque
Research Intern at Université du Québec à Montréal, started in April 2023
Louis-Pierre Ménard
Research Intern at Université du Québec à Montréal, started in May 2023