A Framework for Bayesian Optimization in Embedded Subspaces. - Amin Nayebi; Alexander Munteanu; Matthias Poloczek (ICML, 2019)

Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Jonathan J. Ratcliff; Chandan K. Reddy; Vignesh Subbian (AMIA, 2021)

An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. - Amin Nayebi; Sindhu Tipirneni; Brandon Foreman; Chandan K. Reddy; Vignesh Subbian (AMIA, 2022)

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to Traumatic Brain Injury Phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

Identifying TBI Physiological States by Clustering of Multivariate Clinical Time-Series. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (CoRR, 2023)

A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. - Hamid Ghaderi; Brandon Foreman; Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Vignesh Subbian (J. Biomed. Informatics, 2023)

WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. - Amin Nayebi; Sindhu Tipirneni; Chandan K. Reddy; Brandon Foreman; Vignesh Subbian (J. Biomed. Informatics, 2023)