Amin Nayebi

According to our database, Amin Nayebi authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, August, 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

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 Traumatic Brain Injury Phenotyping.

Hamid Ghaderi, Brandon Foreman, Amin Nayebi, Sindhu Tipirneni, Chandan K. Reddy, Vignesh Subbian

CoRR, 2023

2022

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

Proceedings of the AMIA 2022, 2022

2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019

A Framework for Bayesian Optimization in Embedded Subspaces.

Amin Nayebi, Alexander Munteanu, Matthias Poloczek

Proceedings of the 36th International Conference on Machine Learning, 2019