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 | 786 | 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 | 215 | 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 | 150 | 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 | 70 | 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 | 24 | 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 | 17 | 2020 |
Looking at the BiG picture: incorporating bipartite graphs in drug response prediction DE Hostallero, Y Li, A Emad Bioinformatics 38 (14), 3609-3620, 2022 | 12 | 2022 |
Preclinical-to-clinical anti-cancer drug response prediction and biomarker identification using TINDL DE Hostallero, L Wei, L Wang, J Cairns, A Emad Genomics, Proteomics & Bioinformatics 21 (3), 535-550, 2023 | 7* | 2023 |
Interpretable deep learning architectures for improving drug response prediction performance: myth or reality? Y Li, DE Hostallero, A Emad Bioinformatics 39 (6), btad390, 2023 | 4 | 2023 |