Long Tran

According to our database, Long Tran authored at least 3 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography.

Nguyen Tuan, Phi Nguyen, Dai Tran, Hung Pham, Quang Nguyen, Thanh Le, Hanh Van, Bach Do, Phuong Tran, Vinh Le, Thuy Nguyen, Long Tran, Hieu Pham

CoRR, 2023

2022

A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology.

Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A. Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-Hui Huang, Yujia Tian, Eric Merrell, William D. Duncan, Sivaram Arabandi, Lynn M. Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S. Omenn, Brian D. Athey, Barry Smith

J. Biomed. Semant., 2022

TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search.

Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh

Proceedings of the International Joint Conference on Neural Networks, 2022