| Predicting healthcare trajectories from medical records: A deep learning approach T Pham, T Tran, D Phung, S Venkatesh Journal of Biomedical Informatics, 2017 | 389 | 2017 |
| Deepcare: A deep dynamic memory model for predictive medicine T Pham, T Tran, D Phung, S Venkatesh Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 303 | 2016 |
| Column Networks for Collective Classification T Pham, T Tran, D Phung, S Venkatesh AAAI'17, 2017 | 169 | 2017 |
| 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, 2018 | 142 | 2018 |
| A deep tree-based model for software defect prediction HK Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim arXiv preprint arXiv:1802.00921, 2018 | 106 | 2018 |
| 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 47 (1), 67-85, 2018 | 105 | 2018 |
| A deep language model for software code H Dam, T Tran, T Pham Workshop on Naturalness of Software, FSE 2016: ACM SIGSOFT International …, 2016 | 101 | 2016 |
| Automatic feature learning for vulnerability prediction HK Dam, T Tran, T Pham, SW Ng, J Grundy, A Ghose arXiv preprint arXiv:1708.02368, 2017 | 81 | 2017 |
| Graph Memory Networks for Molecular Activity Prediction T Pham, T Tran, S Venkatesh International Conference for Pattern Recognition, 2018 | 35 | 2018 |
| Graph Classification via Deep Learning with Virtual Nodes T Pham, T Tran, H Dam, S Venkatesh Representation Learning for Graphs Workshop - IJCAI'17, 2017 | 18 | 2017 |
| Faster Training of Very Deep Networks Via p-Norm Gates T Pham, T Tran, D Phung, S Venkatesh ICPR'16, International Conference on Pattern Recognition, 2016 | 17 | 2016 |
| International conference on advanced data mining and applications T Pham, W Ma, D Tran, P Nguyen, D Phung Springer,, 2013 | 16 | 2013 |
| Automatically recommending components for issue reports using deep learning M Choetkiertikul, HK Dam, T Tran, T Pham, C Ragkhitwetsagul, A Ghose Empirical Software Engineering 26, 1-39, 2021 | 6 | 2021 |
| Predicting components for issue reports using deep learning with information retrieval M Choetkiertikul, HK Dam, T Tran, T Pham, A Ghose Proceedings of the 40th International Conference on Software Engineering …, 2018 | 6 | 2018 |
| One size fits many: Column bundle for multi-x learning T Pham, T Tran, S Venkatesh arXiv preprint arXiv:1702.07021, 2017 | 6 | 2017 |
| Building population-specific reference genomes: a case study of vietnamese reference genome N Dai Thanh, PTM Trang, DT Hai, NHA Tuan, BQ Minh, DQ Minh, PB Son, ... 2015 Seventh International Conference on Knowledge and Systems Engineering …, 2015 | 6 | 2015 |
| Whole genome analysis of a Vietnamese trio DT Hai, ND Thanh, PTM Trang, LS Quang, PTT Hang, DC Cuong, ... Journal of Biosciences 40, 113-124, 2015 | 6 | 2015 |
| A deep tree-based model for software defect prediction H Khanh Dam, T Pham, SW Ng, T Tran, J Grundy, A Ghose, T Kim, CJ Kim arXiv e-prints, arXiv: 1802.00921, 2018 | 4 | 2018 |
| Relational dynamic memory networks T Pham, T Tran, S Venkatesh arXiv preprint arXiv:1808.04247, 2018 | 3 | 2018 |
| Preliminary results on the whole genome analysis of a Vietnamese individual HT Dang, T Dai Nguyen, MTT Pham, CC Dang, PK Hoang, SB Pham, ... VNU Journal of Science: Computer Science and Communication Engineering 30 (3), 2014 | 2 | 2014 |
Truyen TranAssociate Professor | Head of AI, Health and Science @ Deakin UniversityVerified email at deakin.edu.au
