Cédric Beaulac

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Handwritten Digits

Machine Learning

Top Venues

Int. J. Comput. Games Technol.

Publications

Sidi Wu, Cédric Beaulac, Jiguo Cao
Functional Autoencoder for Smoothing and Representation Learning. CoRR (2024)
Mélanie Raymond, Marie-Hélène Descary, Cédric Beaulac, Fabrice Larribe
Constructing Ancestral Recombination Graphs through Reinforcement Learning. CoRR (2024)
Cédric Beaulac, Jeffrey S. Rosenthal
Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics. SN Comput. Sci. 4 (1) (2023)
Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
Neuroimaging feature extraction using a neural network classifier for imaging genetics. BMC Bioinform. 24 (1) (2023)
Sidi Wu, Cédric Beaulac, Jiguo Cao
Neural networks for scalar input and functional output. Stat. Comput. 33 (5) (2023)
Cédric Beaulac
A moment-matching metric for latent variable generative models. Mach. Learn. 112 (10) (2023)
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
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR (2022)
Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics. CoRR (2022)
Sidi Wu, Cédric Beaulac, Jiguo Cao
Neural Networks for Scalar Input and Functional Output. CoRR (2022)
Cédric Beaulac
A moment-matching metric for latent variable generative models. CoRR (2021)
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne L. Wolden, David Hodgson
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial. Appl. Artif. Intell. 34 (14) (2020)
Cédric Beaulac, Jeffrey S. Rosenthal
Analysis of a high-resolution hand-written digits data set with writer characteristics. CoRR (2020)
Cédric Beaulac, Jeffrey S. Rosenthal
BEST: a decision tree algorithm that handles missing values. Comput. Stat. 35 (3) (2020)
Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis. CoRR (2018)
Cédric Beaulac, Jeffrey S. Rosenthal
Predicting University Students' Academic Success and Choice of Major using Random Forests. CoRR (2018)
Cédric Beaulac, Jeffrey S. Rosenthal
Handling Missing Values using Decision Trees with Branch-Exclusive Splits. CoRR (2018)
Cédric Beaulac, Fabrice Larribe
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models. CoRR (2018)
Cédric Beaulac, Fabrice Larribe
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent's Location Using Hidden Markov Models. Int. J. Comput. Games Technol. 2017 (2017)