Truyen Tran

Cited by

	All	Since 2020
Citations	9085	6947
h-index	44	36
i10-index	103	79

1700

850

425

1275

2012201320142015201620172018201920202021202220232024202548 51 47 114 199 262 552 749 911 1219 1472 1552 1602 183

Public access

View all

25 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Svetha VenkateshDeakin Distinguished Professor, Deakin UniversityVerified email at deakin.edu.au
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Hoa Khanh DamProfessor in Software Engineering, University of WollongongVerified email at uow.edu.au
Vuong LeDeakin UniversityVerified email at deakin.edu.au
Trang PhamSoftware Engineer, GoogleVerified email at google.com
Sunil GuptaProfessor, Head of AI Optimization and Materials Discovery, Deakin UniversityVerified email at deakin.edu.au
Santu RanaAssociate Professor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Aditya GhoseProfessor of Computer Science, University of WollongongVerified email at uow.edu.au
Wei LuoDeakin UniversityVerified email at deakin.edu.au
Kien DoApplied Artificial Intelligence Institute (A2I2), Deakin UniversityVerified email at deakin.edu.au
Hung LeResearch Lecturer (Assistant Professor), Deakin UniversityVerified email at deakin.edu.au
Phuoc NguyenResearch Lecturer, A2I2, Deakin UniversityVerified email at deakin.edu.au
Thao Minh LeDeakin UniversityVerified email at deakin.edu.au
John C. GrundyAustralian Laureate Fellow and Professor of Software Engineering, Faculty of IT, Monash UniversityVerified email at monash.edu
Michael BerkDeakin UniversityVerified email at deakin.edu.au
Morakot Choetkiertikul, Ph.D.Lecture at Faculty of ICT, Mahidol UniversityVerified email at mahidol.ac.th
Thin NguyenSenior Research Lecturer, Deakin University, AustraliaVerified email at deakin.edu.au
Chandan KarmakarAssociate Professor, Deakin UniversityVerified email at deakin.edu.au
Tu Dinh NguyenCanvaVerified email at canva.com
Hoang Thanh-TungUniversity of Engineering and Technology, Vietnam National University HanoiVerified email at vnu.edu.vn

Truyen Tran

Professor | Head of AI, Health and Science @ Deakin University

Verified email at deakin.edu.au - Homepage

artificial intelligence AI for health AI for science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, ... Journal of medical Internet research 18 (12), 2016	865	2016
Predicting healthcare trajectories from medical records: A deep learning approach T Pham, T Tran, D Phung, S Venkatesh Journal of Biomedical Informatics 69, 218--229, 2017	556	2017
Deepr: a convolutional net for medical records P Nguyen, T Tran, N Wickramasinghe, S Venkatesh IEEE journal of biomedical and health informatics 21 (1), 22-30, 2017	466*	2017
DeepCare: A deep dynamic memory model for predictive medicine T Pham, T Tran, D Phung, S Venkatesh PAKDD, 30-41, 2016	405	2016
Learning regularity in skeleton trajectories for anomaly detection in videos R Morais, V Le, T Tran, B Saha, M Mansour, S Venkatesh CVPR19, 11988-11996, 2019	369	2019
Catastrophic forgetting and mode collapse in GANs H Thanh-Tung, T Tran IJCNN'20, 1-10, 2020	348	2020
Automatic feature learning for predicting vulnerable software components HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose IEEE Transactions on Software Engineering, 2018	340*	2018
Hierarchical conditional relation networks for video question answering TM Le, V Le, S Venkatesh, T Tran CVPR'20, 2020	321	2020
Lessons learned from using a deep tree-based model for software defect prediction in practice HK Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim MSR'19, 2019	280*	2019
A deep learning model for estimating story points M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose, T Menzies IEEE Transactions on Software Engineering, DOI:10.1109/TSE.2018.2792473, 2018	243	2018
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM) T Tran, TD Nguyen, D Phung, S Venkatesh Journal of Biomedical Informatics, 2015	211	2015
Graph transformation policy network for chemical reaction prediction K Do, T Tran, S Venkatesh Proceedings of the 25th ACM SIGKDD International Conference 609, 750-760, 2019	209	2019
Explainable software analytics HK Dam, T Tran, A Ghose ICSE'18, 2018	207	2018
Column networks for collective classification T Pham, T Tran, D Phung, S Venkatesh AAAI'17, 2017	194	2017
Improving generalization and stability of Generative Adversarial Networks H Thanh-Tung, T Tran, S Venkatesh ICLR'19, 2019	170	2019
Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments T Tran, W Luo, D Phung, R Harvey, M Berk, RL Kennedy, S Venkatesh BMC Psychiatry (ECR Best paper awarded by CRESP), 2014	159	2014
A deep language model for software code HK Dam, T Tran, T Pham FSE'16 Workshop on Naturalness of Software (NL+SE), 2016	150	2016
Dual memory neural computer for asynchronous two-view sequential learning H Le, T Tran, S Venkatesh KDD'18, 2018	124	2018
Towards effective AI-powered agile project management HK Dam, T Tran, J Grundy, A Ghose, Y Kamei ICSE'19, 2019	120	2019
Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry S Gupta, T Tran, W Luo, D Phung, RL Kennedy, A Broad, D Campbell, ... BMJ Open, 2014	117	2014

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors