David Earl Hostallero
David Earl Hostallero
PhD Student, McGill University
Verified email at mail.mcgill.ca - Homepage
Cited by
Cited by
Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning
K Son, D Kim, WJ Kang, DE Hostallero, Y Yi
International Conference on Machine Learning, 5887-5896, 2019
DemNet: a convolutional neural network for the detection of Alzheimer's disease and mild cognitive impairment
CD Billones, OJLD Demetria, DED Hostallero, PC Naval
2016 IEEE region 10 conference (TENCON), 3724-3727, 2016
Learning to schedule communication in multi-agent reinforcement learning
D Kim, S Moon, D Hostallero, WJ Kang, T Lee, K Son, Y Yi
arXiv preprint arXiv:1902.01554, 2019
Deep learning approaches to detect atrial fibrillation using photoplethysmographic signals: algorithms development study
S Kwon, J Hong, EK Choi, E Lee, DE Hostallero, WJ Kang, B Lee, ...
JMIR mHealth and uHealth 7 (6), e12770, 2019
Inducing cooperation through reward reshaping based on peer evaluations in deep multi-agent reinforcement learning
DE Hostallero, D Kim, S Moon, K Son, WJ Kang, Y Yi
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19
J Ding, DE Hostallero, MR El Khili, GJ Fonseca, S Milette, N Noorah, ...
PLoS Computational Biology 17 (3), e1008810, 2021
Looking at the BiG picture: Incorporating bipartite graphs in drug response prediction
DE Hostallero, Y Li, A Emad
bioRxiv, 2021
A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical Samples
DE Hostallero, L Wei, L Wang, J Cairns, A Emad
bioRxiv, 2021
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