Dinh Phung

发表

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Wei Luo, John Yearwood, Tu Bao Ho, 2016, Journal of medical Internet research.

Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data

Wei Luo, Truyen Tran, Svetha Venkatesh, 2016, 1607.08310.

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection

Trung Le, John C. Grundy, Khanh Nguyen, 2020, PAKDD.

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Wei Luo, Truyen Tran, Svetha Venkatesh, 2016, JMIR medical informatics.

Code Action Network for Binary Function Scope Identification

Trung Le, Van Nguyen, John C. Grundy, 2020, PAKDD.

Three-Player Wasserstein GAN via Amortised Duality

Nhan Dam, Trung Le, Tu Dinh Nguyen, 2019, IJCAI.

Stabilizing High-Dimensional Prediction Models Using Feature Graphs

Truyen Tran, Tu Dinh Nguyen, Svetha Venkatesh, 2015, IEEE Journal of Biomedical and Health Informatics.

HealthMap: A visual platform for patient suicide risk review

Svetha Venkatesh, Truyen Tran, Santu Rana, 2014 .

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

Wei Luo, Svetha Venkatesh, Truyen Tran, 2014, BMC Psychiatry.

Web search activity data accurately predict population chronic disease risk in the USA

Wei Luo, Svetha Venkatesh, Truyen Tran, 2015, Journal of Epidemiology & Community Health.

Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset

Svetha Venkatesh, Truyen Tran, Wei Luo, 2015, PloS one.

Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?

Svetha Venkatesh, Truyen Tran, Dinh Phung, 2016, Heliyon.