Cédric Beaulac

20 papers Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Statistical analysis of multivariate planar curves and applications to X-ray classification. CoRR Issam-Ali Moindjié, Marie-Hélène Descary, Cédric Beaulac
2024	J	`jnl`	Constructing Ancestral Recombination Graphs through Reinforcement Learning. CoRR Mélanie Raymond, Marie-Hélène Descary, Cédric Beaulac, Fabrice Larribe
2024	J	`jnl`	Functional Autoencoder for Smoothing and Representation Learning. CoRR Sidi Wu, Cédric Beaulac, Jiguo Cao
2024	J	`jnl`	Functional autoencoder for smoothing and representation learning. Stat. Comput. Sidi Wu, Cédric Beaulac, Jiguo Cao
2023	J	`jnl`	A moment-matching metric for latent variable generative models. Mach. Learn. Cédric Beaulac
2023	J	`jnl`	Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics. SN Comput. Sci. Cédric Beaulac, Jeffrey S. Rosenthal
2023	J	`jnl`	Neural networks for scalar input and functional output. Stat. Comput. Sidi Wu, Cédric Beaulac, Jiguo Cao
2023	J	`jnl`	Neuroimaging feature extraction using a neural network classifier for imaging genetics. BMC Bioinform. Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
2022	J	`jnl`	Neural Networks for Scalar Input and Functional Output. CoRR Sidi Wu, Cédric Beaulac, Jiguo Cao
2022	J	`jnl`	Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics. CoRR Cédric Beaulac, Sidi Wu, Erin Gibson, Michelle F. Miranda, Jiguo Cao, Leno Rocha, Mirza Faisal Beg, Farouk S. Nathoo
2022	J	`jnl`	Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR 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
2021	J	`jnl`	A moment-matching metric for latent variable generative models. CoRR Cédric Beaulac
2020	J	`jnl`	An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial. Appl. Artif. Intell. Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne L. Wolden, David Hodgson
2020	J	`jnl`	Analysis of a high-resolution hand-written digits data set with writer characteristics. CoRR Cédric Beaulac, Jeffrey S. Rosenthal
2020	J	`jnl`	BEST: a decision tree algorithm that handles missing values. Comput. Stat. Cédric Beaulac, Jeffrey S. Rosenthal
2018	J	`jnl`	A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis. CoRR Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson
2018	J	`jnl`	Handling Missing Values using Decision Trees with Branch-Exclusive Splits. CoRR Cédric Beaulac, Jeffrey S. Rosenthal
2018	J	`jnl`	Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models. CoRR Cédric Beaulac, Fabrice Larribe
2018	J	`jnl`	Predicting University Students' Academic Success and Choice of Major using Random Forests. CoRR Cédric Beaulac, Jeffrey S. Rosenthal
2017	J	`jnl`	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. Cédric Beaulac, Fabrice Larribe