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Shivapratap Gopakumar
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2020 – today
- 2023
- [c5]Radhagayathri K. Udhayakumar, Saifur Rahman, Shivapratap Gopakumar, Chandan K. Karmakar:
Nonlinear Features from Multi-Modal Signals for Continuous Stress Monitoring. EMBC 2023: 1-4
2010 – 2019
- 2018
- [c4]Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh:
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. NeurIPS 2018: 5470-5478 - 2016
- [c3]Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Linear Prediction Models Using Autoencoder. ADMA 2016: 651-663 - [c2]Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. ICHI 2016: 177-183 - [i2]Nguyen Cong Thuong, Truyen Tran, Shivapratap Gopakumar, Dinh Q. Phung, Svetha Venkatesh:
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. CoRR abs/1605.01116 (2016) - 2015
- [j1]Shivapratap Gopakumar, Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing High-Dimensional Prediction Models Using Feature Graphs. IEEE J. Biomed. Health Informatics 19(3): 1044-1052 (2015) - [c1]Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. PAKDD (2) 2015: 331-343 - 2014
- [i1]Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records. CoRR abs/1407.6094 (2014)
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