| Predicting University Students' Academic Success and Major using Random Forests C Beaulac, JS Rosenthal Research in Higher Education 60, 1048–1064, 2019 | 157 | 2019 |
| BEST : A decision tree algorithm that handles missing values C Beaulac, JS Rosenthal Computational Statistics 35, 1001–1026, 2020 | 29 | 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 | 26 | 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 | 9 | 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 | 9 | 2017 |
| Introducing a new high-resolution hand-written digits data set with writer characteristics C Beaulac, JS Rosenthal SN Computer Science 4, 66, 2023 | 6* | 2023 |
| Neural Networks for Scalar Input and Functional Output S Wu, C Beaulac, J Cao Statistics and Computing 33, 118, 2023 | 5 | 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 | 5 | 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 | 4 | 2015 |
| Functional Autoencoder for Smoothing and Representation Learning S Wu, C Beaulac, J Cao Statistics and Computing 34, 203, 2024 | 2 | 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 | 2 | 2023 |
| A moment-matching metric for latent variable generative models C Beaulac Machine Learning 112, 3749–3772, 2023 | 1 | 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 | 1 | 2023 |
| Performance and accessibility of statistical learning algorithms for applied data analysis C Beaulac University of Toronto (Canada), 2021 | 1 | 2021 |
| Constructing Ancestral Recombination Graphs through Reinforcement Learning M Raymond, MH Descary, C Beaulac, F Larribe arXiv preprint arXiv:2406.12022, 2024 | | 2024 |
| Variational AutoEncoders: Theory, implementation and unanswered questions C Beaulac | | 2019 |
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoVerified email at math.toronto.edu
