Area of research
Artificial Intelligence · Epidemiology
Research interest
Research interests include Computer science, Artificial intelligence, Bayesian optimization, Bayesian probability, Linear subspace, and Machine learning.
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping
Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent Learning
A Framework for Bayesian Optimization in Embedded Subspaces
International Conference on Machine Learning 2019cited by 58position: first