D. Hostallero

发表

QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning pdf

Yung Yi, Kyunghwan Son, David Earl Hostallero, 2019, ICML.

Looking at the BiG picture: Incorporating bipartite graphs in drug response prediction

D. Hostallero, A. Emad, Yihui Li, 2021, bioRxiv.

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

D. Hostallero, A. Emad, K. Tremblay, 2020, medRxiv.

Inducing Cooperation through Reward Reshaping based on Peer Evaluations in Deep Multi-Agent Reinforcement Learning

Sangwoo Moon, Yung Yi, Kyunghwan Son, 2020, AAMAS.

Interpretable deep learning architectures for improving drug response prediction: myth or reality?

D. Hostallero, A. Emad, Yihui Li, 2022, bioRxiv.

Learning to Schedule Communication in Multi-agent Reinforcement Learning pdf

Taeyoung Lee, Sangwoo Moon, Yung Yi, 2019, ICLR.

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Soonil Kwon, David Earl Hostallero, Joonki Hong, 2019, JMIR mHealth and uHealth.

DemNet: A Convolutional Neural Network for the detection of Alzheimer's Disease and Mild Cognitive Impairment

Prospero C. Naval, Ciprian D. Billones, D. Hostallero, 2016, 2016 IEEE Region 10 Conference (TENCON).

A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical Samples

J. Cairns, Liewei Wang, Lixuan Wei, 2021, bioRxiv.

Interpretable deep learning architectures for improving drug response prediction performance: myth or reality?

D. Hostallero, A. Emad, Yihui Li, 2023, bioRxiv.

Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDL

J. Cairns, Liewei Wang, Lixuan Wei, 2023, Genom. Proteom. Bioinform..