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Cédric Beaulac
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Journal Articles
- 2023
- [j7]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): 271 (2023) - [j6]Cédric Beaulac
:
A moment-matching metric for latent variable generative models. Mach. Learn. 112(10): 3749-3772 (2023) - [j5]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Neural networks for scalar input and functional output. Stat. Comput. 33(5): 118 (2023) - [j4]Cédric Beaulac
, Jeffrey S. Rosenthal:
Introducing a New High-Resolution Handwritten Digits Data Set with Writer Characteristics. SN Comput. Sci. 4(1): 66 (2023) - 2020
- [j3]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): 1100-1114 (2020) - [j2]Cédric Beaulac
, Jeffrey S. Rosenthal:
BEST: a decision tree algorithm that handles missing values. Comput. Stat. 35(3): 1001-1026 (2020) - 2017
- [j1]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: 4939261:1-4939261:10 (2017)
Informal and Other Publications
- 2024
- [i11]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Functional Autoencoder for Smoothing and Representation Learning. CoRR abs/2401.09499 (2024) - [i10]Mélanie Raymond, Marie-Hélène Descary, Cédric Beaulac, Fabrice Larribe:
Constructing Ancestral Recombination Graphs through Reinforcement Learning. CoRR abs/2406.12022 (2024) - 2022
- [i9]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 abs/2205.01188 (2022) - [i8]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 abs/2207.10794 (2022) - [i7]Sidi Wu, Cédric Beaulac, Jiguo Cao:
Neural Networks for Scalar Input and Functional Output. CoRR abs/2208.05776 (2022) - 2021
- [i6]Cédric Beaulac:
A moment-matching metric for latent variable generative models. CoRR abs/2111.00875 (2021) - 2020
- [i5]Cédric Beaulac, Jeffrey S. Rosenthal:
Analysis of a high-resolution hand-written digits data set with writer characteristics. CoRR abs/2011.07946 (2020) - 2018
- [i4]Cédric Beaulac, Fabrice Larribe:
Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agents Location Using Hidden Markov Models. CoRR abs/1802.03417 (2018) - [i3]Cédric Beaulac
, Jeffrey S. Rosenthal:
Predicting University Students' Academic Success and Choice of Major using Random Forests. CoRR abs/1802.03418 (2018) - [i2]Cédric Beaulac
, Jeffrey S. Rosenthal:
Handling Missing Values using Decision Trees with Branch-Exclusive Splits. CoRR abs/1804.10168 (2018) - [i1]Cédric Beaulac
, Jeffrey S. Rosenthal, David Hodgson:
A Deep Latent-Variable Model Application to Select Treatment Intensity in Survival Analysis. CoRR abs/1811.12323 (2018)
Coauthor Index
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