| 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 | 284 | 2019 |
| 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 | 103 | 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 | 90 | 2016 |
| 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 | 45 | 2019 |
| 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 | 14 | 2021 |
| 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 | 8 | 2020 |
| 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 | 1 | 2021 |
| Looking at the BiG picture: Incorporating bipartite graphs in drug response prediction DE Hostallero, Y Li, A Emad bioRxiv, 2021 | | 2021 |
