Mathieu Ravaut
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Deep learning for lung cancer detection: tackling the kaggle data science bowl 2017 challenge
K Kuan, M Ravaut, G Manek, H Chen, J Lin, B Nazir, C Chen, TC Howe, ...
arXiv, 2017
442017
Deep learning applied to underwater mine warfare
K Denos, M Ravaut, A Fagette, HS Lim
IEEE Oceans 2017, 2017
282017
Truly multi-modal youtube-8m video classification with video, audio, and text
Z Wang, K Kuan, M Ravaut, G Manek, S Song, Y Fang, S Kim, N Chen, ...
CVPR 2017 Workshop on Large-Scale YouTube-8M Video Understanding, 2017
182017
Gradient descent revisited via an adaptive online learning rate
M Ravaut, S Gorti
arXiv, 2018
42018
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
M Ravaut, H Sadeghi, KK Leung, M Volkovs, LC Rosella
arXiv, 2019
32019
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data
M Ravaut, H Sadeghi, KK Leung, M Volkovs, K Kornas, V Harish, ...
Nature NPJ Digital Medicine 2021, 2021
12021
Regan: Re [lax| bar| inforce] based sequence generation using gans
A Balagopalan, S Gorti, M Ravaut, R Saqur
arXiv, 2018
12018
Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes
M Ravaut, V Harish, H Sadeghi, KK Leung, M Volkovs, K Kornas, ...
JAMA Network Open 2021, 2021
2021
Predicting hospitalizations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study
SE Yi, V Harish, JM Gutierrez, M Ravaut, K Kornas, T Watson, T Poutanen, ...
medRxiv, 2021
2021
Predicting Twitter Engagement With Deep Language Models
M Volkovs, Z Cheng, M Ravaut, H Yang, K Shen, JP Zhou, A Wong, ...
ACM RecSys 2020 Workshop on RecSys Challenge, 2020
2020
Regularization of recurrent machine-learned architectures
M Volkovs, MJR Ravaut, KK Leung, H Sadeghi
US Patent App. 16/435,213, 2020
2020
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Artiklar 1–11