| 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 | 501 | 2016 |
| Cross-project transfer representation learning for vulnerable function discovery G Lin, J Zhang, W Luo, L Pan, Y Xiang, O De Vel, P Montague IEEE Transactions on Industrial Informatics 14 (7), 3289-3297, 2018 | 134 | 2018 |
| 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 | 125 | 2014 |
| A review on automatic facial expression recognition systems assisted by multimodal sensor data N Samadiani, G Huang, B Cai, W Luo, CH Chi, Y Xiang, J He Sensors 19 (8), 1863, 2019 | 121 | 2019 |
| A survey of android malware detection with deep neural models J Qiu, J Zhang, W Luo, L Pan, S Nepal, Y Xiang ACM Computing Surveys (CSUR) 53 (6), 1-36, 2020 | 115 | 2020 |
| 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 | 88 | 2014 |
| POSTER: Vulnerability discovery with function representation learning from unlabeled projects G Lin, J Zhang, W Luo, L Pan, Y Xiang Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 82 | 2017 |
| Robust anomaly detection in videos using multilevel representations H Vu, TD Nguyen, T Le, W Luo, D Phung Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5216-5223, 2019 | 70 | 2019 |
| Stabilized sparse ordinal regression for medical risk stratification T Tran, D Phung, W Luo, S Venkatesh Knowledge and Information Systems 43, 555-582, 2015 | 55 | 2015 |
| Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data S Rana, T Tran, W Luo, D Phung, RL Kennedy, S Venkatesh Australian Health Review 38 (4), 377-382, 2014 | 49 | 2014 |
| An integrated framework for suicide risk prediction T Tran, D Phung, W Luo, R Harvey, M Berk, S Venkatesh Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 48 | 2013 |
| Software vulnerability discovery via learning multi-domain knowledge bases G Lin, J Zhang, W Luo, L Pan, O De Vel, P Montague, Y Xiang IEEE Transactions on Dependable and Secure Computing 18 (5), 2469-2485, 2019 | 42 | 2019 |
| A framework for feature extraction from hospital medical data with applications in risk prediction T Tran, W Luo, D Phung, S Gupta, S Rana, RL Kennedy, A Larkins, ... BMC bioinformatics 15 (1), 1-9, 2014 | 38 | 2014 |
| Learning graph representation via frequent subgraphs D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung Proceedings of the 2018 SIAM International Conference on Data Mining, 306-314, 2018 | 37 | 2018 |
| Model: Motif-based deep feature learning for link prediction L Wang, J Ren, B Xu, J Li, W Luo, F Xia IEEE Transactions on Computational Social Systems 7 (2), 503-516, 2020 | 36 | 2020 |
| Estimating the intensity of ward admission and its effect on emergency department access block W Luo, J Cao, M Gallagher, J Wiles Statistics in medicine 32 (15), 2681-2694, 2013 | 33 | 2013 |
| Machine learning for financial risk management: a survey A Mashrur, W Luo, NA Zaidi, A Robles-Kelly IEEE Access 8, 203203-203223, 2020 | 32 | 2020 |
| The relationship between match performance indicators and outcome in Australian Football CM Young, W Luo, P Gastin, J Tran, DB Dwyer Journal of science and medicine in sport 22 (4), 467-471, 2019 | 30 | 2019 |
| Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset W Luo, T Nguyen, M Nichols, T Tran, S Rana, S Gupta, D Phung, ... PloS one 10 (5), e0125602, 2015 | 29 | 2015 |
| A3CM: automatic capability annotation for android malware J Qiu, J Zhang, W Luo, L Pan, S Nepal, Y Wang, Y Xiang IEEE Access 7, 147156-147168, 2019 | 28 | 2019 |
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
