Wei Luo
Wei Luo
Verified email at deakin.edu.au - Homepage
TitleCited byYear
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
902016
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
702014
Stabilized sparse ordinal regression for medical risk stratification
T Tran, D Phung, W Luo, S Venkatesh
Knowledge and Information Systems 43 (3), 555-582, 2015
482015
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
442014
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
352014
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), 425, 2014
312014
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
292013
Mind change efficient learning
W Luo, O Schulte
Information and Computation 204 (6), 989-1011, 2006
252006
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
172013
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
162018
A new hybrid method for Bayesian network learning with dependency constraints
O Schulte, G Frigo, R Greiner, W Luo, H Khosravi
2009 IEEE Symposium on Computational Intelligence and Data Mining, 53-60, 2009
152009
Mind change optimal learning of bayes net structure
O Schulte, W Luo, R Greiner
International Conference on Computational Learning Theory, 187-202, 2007
152007
Predicting risk of suicide attempt using history of physical illnesses from electronic medical records
C Karmakar, W Luo, T Tran, M Berk, S Venkatesh
JMIR mental health 3 (3), e19, 2016
142016
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
122017
Parameter-free search of time-series discord
W Luo, M Gallagher, J Wiles
Journal of computer science and technology 28 (2), 300-310, 2013
122013
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
112018
Faster and parameter-free discord search in quasi-periodic time series
W Luo, M Gallagher
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 135-148, 2011
112011
Learning Bayesian networks in semi-deterministic systems
W Luo
Conference of the Canadian Society for Computational Studies of Intelligence …, 2006
112006
Web search activity data accurately predict population chronic disease risk in the USA
T Nguyen, T Tran, W Luo, S Gupta, S Rana, D Phung, M Nichols, L Millar, ...
J Epidemiol Community Health 69 (7), 693-699, 2015
102015
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
102015
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Articles 1–20