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Amin Nayebi
Observed name:
Nayebi, Amin
Observed institutions:
University of Arizona,
George Mason University
ORCID:
0000-0002-0656-6748
Observed ORCID:
0000-0002-0656-6748
OpenAlex ID:
A5039635729
A Framework for Bayesian Optimization in Embedded Subspaces
2019
·
Amin Nayebi
, Alexander Munteanu
, et al.
·
International Conference on Machine Learning
·
77
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values
2023
·
Amin Nayebi
, Sindhu Tipirneni
, et al.
·
Journal of Biomedical Informatics
·
65
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping
2023
·
Hamid Ghaderi
, Brandon Foreman
, et al.
·
Journal of Biomedical Informatics
·
24
Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent Learning
2022
·
Patrick T Essay
, Jarrod M Mosier
, et al.
·
Respiratory Care
·
15
PDF
Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury.
2021
·
Amin Nayebi
, Sindhu Tipirneni
, et al.
·
PubMed Central
·
9
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury
2022
·
Nayebi, Amin
, Tipirneni, Sindhu
, et al.
·
PubMed Central
·
6
PDF
Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
2023
·
Ghaderi, Hamid
, Foreman, Brandon
, et al.
·
PubMed Central
·
5
PDF
The Effect of Skin Tone Classification on Bias in Bruise Detection
2025
·
Dharmi Desai
, Amin Nayebi
, et al.
·
Research Square
·
1
PDF
Ontology-based Database Design for an Injury Research Platform
2026
·
Mohammad Qodrati
, Amin Nayebi
, et al.
Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence Thresholds
2025
·
Desai, Dharmi
, Nayebi, Amin
, et al.
·
PubMed Central
Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence Thresholds.
2024
·
Dharmi Desai
, Amin Nayebi
, et al.
·
PubMed
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Works count:
11
Citation count:
202
H-index:
6
I10-index:
4
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