Cédric Beaulac

According to our database, Cédric Beaulac authored at least 16 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Statistical analysis of multivariate planar curves and applications to X-ray classification.

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

CoRR, August, 2025

2024

Functional autoencoder for smoothing and representation learning.

Sidi Wu, Cédric Beaulac, Jiguo Cao

Stat. Comput., December, 2024

Constructing Ancestral Recombination Graphs through Reinforcement Learning.

Mélanie Raymond, Marie-Hélène Descary, Cédric Beaulac, Fabrice Larribe

CoRR, 2024

2023

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, Farouk S. Nathoo

BMC Bioinform., December, 2023

Neural networks for scalar input and functional output.

Sidi Wu, Cédric Beaulac, Jiguo Cao

Stat. Comput., October, 2023

A moment-matching metric for latent variable generative models.

Cédric Beaulac

Mach. Learn., October, 2023

Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics.

Cédric Beaulac, Jeffrey S. Rosenthal

SN Comput. Sci., 2023

2022

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, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2022

2020

BEST: a decision tree algorithm that handles missing values.

Cédric Beaulac, Jeffrey S. Rosenthal

Comput. Stat., 2020

Analysis of a high-resolution hand-written digits data set with writer characteristics.

Cédric Beaulac, Jeffrey S. Rosenthal

CoRR, 2020

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 L. Wolden, David Hodgson

Appl. Artif. Intell., 2020

2018

A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis.

Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson

CoRR, 2018

Handling Missing Values using Decision Trees with Branch-Exclusive Splits.

Cédric Beaulac, Jeffrey S. Rosenthal

CoRR, 2018

Predicting University Students' Academic Success and Choice of Major using Random Forests.

Cédric Beaulac, Jeffrey S. Rosenthal

CoRR, 2018

Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models.

Cédric Beaulac, Fabrice Larribe

CoRR, 2018

2017

Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent's Location Using Hidden Markov Models.

Cédric Beaulac, Fabrice Larribe

Int. J. Comput. Games Technol., 2017