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Cédric Beaulac

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Functional Autoencoder for Smoothing and Representation Learning

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Jan 17, 2024
Sidi Wu, Cédric Beaulac, Jiguo Cao

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Neural Networks for Scalar Input and Functional Output

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Aug 10, 2022
Sidi Wu, Cédric Beaulac, Jiguo Cao

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Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis

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May 02, 2022
Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E Galvin, Lei Wang, Mirza Faisal Beg, the Alzheimer's Disease Neuroimaging Initiative

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

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Nov 04, 2020
Cédric Beaulac, Jeffrey S. Rosenthal

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An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group

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Jan 15, 2020
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne Wolden, David Hodgson

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

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Nov 29, 2018
Cédric Beaulac, Jeffrey S. Rosenthal, David Hodgson

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Predicting University Students' Academic Success and Major using Random Forests

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Sep 30, 2018
Cédric Beaulac, Jeffrey S. Rosenthal

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Handling Missing Values using Decision Trees with Branch-Exclusive Splits

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Apr 26, 2018
Cédric Beaulac, Jeffrey S. Rosenthal

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

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Feb 09, 2018
Cédric Beaulac, Fabrice Larribe

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