Cédric Beaulac
Cited by
Cited by
Predicting University Students' Academic Success and Major using Random Forests
C Beaulac, JS Rosenthal
Research in Higher Education 60, 1048–1064, 2019
BEST : A decision tree algorithm that handles missing values
C Beaulac, JS Rosenthal
Computational Statistics 35, 1001–1026, 2020
Predicting Time-to-conversion for Dementia of Alzheimer’s Type using Multi-modal Deep Survival Analysis
G Mirabnahrazam, D Ma, C Beaulac, S Lee, K Popuri, H Lee, J Cao, ...
Neurobiology of Aging 121, 139-156, 2023
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial
C Beaulac, JS Rosenthal, Q Pei, D Friedman, S Wolden, D Hodgson
Applied Artificial Intelligence 34 (14), 1100-1114, 2020
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent’s Location Using Hidden Markov Models
C Beaulac, F Larribe
International Journal of Computer Games Technology 2017, 2017
Introducing a new high-resolution hand-written digits data set with writer characteristics
C Beaulac, JS Rosenthal
SN Computer Science 4, 66, 2023
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis
C Beaulac, JS Rosenthal, D Hodgson
Proceedings of the Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018
Intelligence artificielle avec apprentissage automatique pour l'estimation de la position d'un agent mobile en utilisant les modèles de Markov cachés
C Beaulac
Université du Québec à Montréal, 2015
A moment-matching metric for latent variable generative models
C Beaulac
Machine Learning 112, 3749–3772, 2023
Predicting Alzheimer’s disease progression in healthy and MCI subjects using multi‐modal deep learning approach
G Mirabnahrazam, D Ma, C Beaulac, S Lee, K Popuri, H Lee, J Cao, ...
Alzheimer's & Dementia 19, e060943, 2023
Neural Networks for Scalar Input and Functional Output
S Wu, C Beaulac, J Cao
Statistics and Computing 33, 118, 2023
Performance and accessibility of statistical learning algorithms for applied data analysis
C Beaulac
University of Toronto (Canada), 2021
Functional Autoencoder for Smoothing and Representation Learning
S Wu, C Beaulac, J Cao
arXiv preprint arXiv:2401.09499, 2024
Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics
C Beaulac, S Wu, E Gibson, M F. Miranda, J Cao, L Rocha, MF Beg, ...
BMC Bioinformatics 24, 271, 2023
Variational AutoEncoders: Theory, implementation and unanswered questions
C Beaulac
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