Publications

A Wavelet-Based Framework for Mapping Long Memory in Resting-State fMRI: Age-Related Changes in the Hippocampus from the ADHD-200 Datasets

Yasaman Shahhosseni, Cédric Beaulac, Farouk Nathoo and Michelle F. Miranda

Published in Human Brain Mapping, September 2026

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Shape-Based Inductive Bias for Glioma Grading from Tumor Contours

Puneet Velidi, Michelle F. Miranda, Farouk Nathoo, Ashery Mbilinyi and Cédric Beaulac

Preprint submitted for review.

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Multivariate Planar Curves: A Statistical Framework for Shape Analysis in Images

Issam-Ali Moindjié, Marie-Hélène Descary and Cédric Beaulac

Preprint submitted for review.

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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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A Functional Approach to 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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Cédric Beaulac, Ph.D.

Publications