| A novel embedding model for knowledge base completion based on convolutional neural network DQ Nguyen, TD Nguyen, DQ Nguyen, D Phung arXiv preprint arXiv:1712.02121, 2017 | 786 | 2017 |
| Activity recognition and abnormality detection with the switching hidden semi-markov model TV Duong, HH Bui, DQ Phung, S Venkatesh 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 763 | 2005 |
| Labeled random finite sets and the Bayes multi-target tracking filter BN Vo, BT Vo, D Phung IEEE Transaction on Signal Processing, 2014 | 737 | 2014 |
| 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), e323, 2016 | 603 | 2016 |
| Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model N Nguyen, DQ Phung, S Venkatesh, H Bui Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005 | 490 | 2005 |
| 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 | 452 | 2017 |
| Dual discriminator generative adversarial nets T Nguyen, T Le, H Vu, D Phung Advances in neural information processing systems 30, 2017 | 344 | 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 | 342 | 2016 |
| MGAN: Training generative adversarial nets with multiple generators Q Hoang, TD Nguyen, T Le, D Phung International Conference on Learning Representation (ICLR), 2018 | 311* | 2018 |
| A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization DQ Nguyen, T Vu, TD Nguyen, DQ Nguyen, D Phung Annual Conference of the North American Chapter of the Association for …, 2019 | 265* | 2019 |
| Affective and Content Analysis of Online Depression Communities T Nguyen, D Phung, B Dao, S Venkatesh, M Berk IEEE Transaction on Affective Computing, 1-1, 2014 | 245 | 2014 |
| An effective spatial-temporal attention based neural network for traffic flow prediction LNN Do, HL Vu, BQ Vo, Z Liu, D Phung Transportation research part C: emerging technologies 108, 12-28, 2019 | 194 | 2019 |
| 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 54, 96-105, 2015 | 179 | 2015 |
| Column networks for collective classification T Pham, T Tran, D Phung, S Venkatesh Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 176 | 2017 |
| Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring H Nguyen, SJ Maclagan, TD Nguyen, T Nguyen, P Flemons, K Andrews, ... 2017 IEEE international conference on data science and advanced Analytics …, 2017 | 164 | 2017 |
| Efficient duration and hierarchical modeling for human activity recognition T Duong, D Phung, H Bui, S Venkatesh Artificial Intelligence 173 (7-8), 830-856, 2009 | 151 | 2009 |
| Multilevel clustering via Wasserstein means N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung International conference on machine learning, 1501-1509, 2017 | 134 | 2017 |
| 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 14 (1), 76, 2014 | 134 | 2014 |
| Hierarchical hidden Markov models with general state hierarchy HH Bui, DQ Phung, S Venkatesh Proceedings of the national conference on artificial intelligence, 324-329, 2004 | 121 | 2004 |
| 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 4 (3), e004007, 2014 | 102 | 2014 |
