Trends in Online Health Information Searches on Sleep Disorders During the First Seven Months of the COVID-19 Pandemic in Iran von Nayebi, Amin, Abolghasemi Dehaqani, Mohammad Reza, Rostami, Reza, Rahiminezhad, Abbas, Asadpour, Masoud

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WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values von Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K., Foreman, Brandon, Subbian, Vignesh

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

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Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent Learning von Essay, Patrick T, Mosier, Jarrod M, Nayebi, Amin, Fisher, Julia M, Subbian, Vignesh

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Investigating the Role of the Covid-19 Epidemic on Iranians’ Queries for Health Information on the Internet during Six Outbreaks of the Disease from February 2020 to April 2022 von Amin Nayebi, Reza Rostami, Mohammadreza Abolghasemi Dehaqani, Abbas Rahiminezhad, Masoud Asadpour

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Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data von Ghaderi, Hamid, Foreman, Brandon, Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K, Subbian, Vignesh

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An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury von Nayebi, Amin, Tipirneni, Sindhu, Foreman, Brandon, Reddy, Chandan K, Subbian, Vignesh

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Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury von Nayebi, Amin, Tipirneni, Sindhu, Foreman, Brandon, Ratcliff, Jonathan, Reddy, Chandan K, Subbian, Vignesh

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An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury von Nayebi, Amin, Tipirneni, Sindhu, Foreman, Brandon, Reddy, Chandan K, Subbian, Vignesh

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Developing (r,Q) (R,T) inventory control models von Magsud Amiri, , Mohammad Amin Nayebi, Oveis Zarabadipour

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An inventory control model: Combining multi-objective programming and fuzzy-chance constrained programming von Mohammad, Amin Nayebi, Seied, Ali Asghar Tavasolian

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Application of Fuzzy Multi-objective Programming to Develop an Inventory Control Model von Mohammad Amin Nayebi, Naser Hamidi, Abbas Panahi niya, Hesam Saedi

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Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data von Ghaderi, Hamid, Foreman, Brandon, Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K, Subbian, Vignesh

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

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WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values von Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K, Foreman, Brandon, Subbian, Vignesh

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An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury von Nayebi, Amin, Tipirneni, Sindhu, Foreman, Brandon, Reddy, Chandan K, Subbian, Vignesh

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A Multi Objective Optimization Approach for Resources Procurement of Bank von amir mohammad-zadeh, naser hamidi, mohammad amin nayebi, yusof ebrahimi-sajas

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Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data von Ghaderi, Hamid, eman, Brandon, Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K, Subbian, Vignesh

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A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping von Ghaderi, Hamid, eman, Brandon, Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K, Subbian, Vignesh

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WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values von Nayebi, Amin, Tipirneni, Sindhu, Reddy, Chandan K, eman, Brandon, Subbian, Vignesh

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