Elham Rastegari

According to our database1, Elham Rastegari authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Introduction to the Minitrack on Generative and Conversational AI in Information Systems Research and Education: Opportunities and Challenges.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2022
Detection of Parkinson's Disease Using Wrist Accelerometer Data and Passive Monitoring.
Sensors, 2022

Human Gait Recognition Using Bag of Words Feature Representation Method.
CoRR, 2022

Introduction to the Minitrack on Virtual, Augmented, and Mixed Reality in Healthcare.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2020
Smart Computational Approaches with Advanced Feature Selection Algorithms for Optimizing the Classification of Mobility Data in Health Informatics.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

Showing off Customer Care: How U.S. Airlines Deploy Impression Management by Publicizing Customer Care on Twitter.
Proceedings of the 26th Americas Conference on Information Systems, 2020

2019
Machine Learning and Similarity Network Approaches to Support Automatic Classification of Parkinson's Diseases Using Accelerometer-based Gait Analysis.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
A Socio-Contextual Approach in Automated Detection of Public Cyberbullying on Twitter.
ACM Trans. Soc. Comput., 2018

A Socio-contextual Approach in Automated Detection of Cyberbullying.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Using gait parameters to recognize various stages of Parkinson's disease.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

A Correlation Network Model Utilizing Gait Parameters for Evaluating Health Levels.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

A Hierarchical Learning Model for Extracting Public Health Data from Social Media.
Proceedings of the 23rd Americas Conference on Information Systems, 2017


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