WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values.
J. Biomed. Informatics, August, 2023
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping.
J. Biomed. Informatics, 2023
Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series.
CoRR, 2023
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping.
CoRR, 2023
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury.
Proceedings of the AMIA 2022, 2022
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
A Framework for Bayesian Optimization in Embedded Subspaces.
Proceedings of the 36th International Conference on Machine Learning, 2019