S. Gopakumar

An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments pdf

Svetha Venkatesh, Truyen Tran, Dinh Q. Phung, 2016, ArXiv.

Machine learning in healthcare : an investigation into model stability

Shivapratap Gopakumar, S. Gopakumar, Shivapratap Gopakumar, 2017 .

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

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

Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation

Svetha Venkatesh, Santu Rana, Vu Nguyen, 2018, NeurIPS.

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data

Wei Luo, Svetha Venkatesh, Truyen Tran, 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records

Svetha Venkatesh, Truyen Tran, Tu Dinh Nguyen, 2015, PAKDD.

Stabilizing High-Dimensional Prediction Models Using Feature Graphs

S. Venkatesh, T. Tran, Dinh Phung, 2015, IEEE Journal of Biomedical and Health Informatics.

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

S. Venkatesh, T. Tran, Dinh Phung, 2016, JMIR medical informatics.

Machine learning in healthcare : an investigation into model stability

S. Gopakumar, 2017 .