Constructing Ancestral Recombination Graphs through Reinforcement Learning
Mélanie Raymond, Marie-Hélène Descary, Cédric Beaulac and Fabrice Larribe
Published in Frontiers in Genetics - Computational Genomics, April 2025
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Publications
A Functional Approach for Curve Alignment and Shape Analysis
Issam-Ali Moindjié, Cédric Beaulac and Marie-Hélène Descary
Preprint submitted for review.
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Functional Autoencoder for Smoothing and Representation Learning
Sidi Wu, Cédric Beaulac and Jiguo Cao
Published in Statistics and Computing, October 2024
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Neural Networks for Scalar Input and Functional Output
Sidi Wu, Cédric Beaulac and Jiguo Cao
Published in Statistics and Computing, August 2023
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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
Published in BMC Bioinformatics, June 2023
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A moment-matching metric for latent variable generative models
Cédric Beaulac
Published in Machine Learning, June 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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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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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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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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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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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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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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