Wei Luo
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Machine learning for financial risk management: a survey
A Mashrur, W Luo, NA Zaidi, A Robles-Kelly
Ieee Access 8, 203203-203223, 2020
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
Stabilized sparse ordinal regression for medical risk stratification
T Tran, D Phung, W Luo, S Venkatesh
Knowledge and Information Systems 43, 555-582, 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
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), 6596, 2014
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
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
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
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
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
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
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