| Machine learning and similarity network approaches to support automatic classification of parkinson’s diseases using accelerometer-based gait analysis E Rastegari, S Azizian, H Ali | 76 | 2019 |
| A socio-contextual approach in automated detection of public cyberbullying on Twitter N Tahmasbi, E Rastegari ACM Transactions on Social Computing 1 (4), 1-22, 2018 | 22 | 2018 |
| A bag-of-words feature engineering approach for assessing health conditions using accelerometer data E Rastegari, H Ali Smart Health 16, 100116, 2020 | 20 | 2020 |
| A socio-contextual approach in automated detection of cyberbullying N Tahmasbi, E Rastegari | 19 | 2018 |
| Human gait database for normal walk collected by smartphone accelerometer A Vajdi, MR Zaghian, NR Dehkordi, E Rastegari, K Maroofi, S Farahmand, ... arXiv preprint arXiv:1905.03109, 2019 | 15 | 2019 |
| Using gait parameters to recognize various stages of Parkinson's disease E Rastegari, V Marmelat, L Najjar, D Bastola, HH Ali 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 13 | 2017 |
| Pervasive computing in healthcare systems E Rastegari, A Rahmani, S Setayeshi International Journal of Health and Medical Engineering 5 (11), 1166-1172, 2011 | 13 | 2011 |
| Human gait recognition using bag of words feature representation method N Bayat, E Rastegari, Q Li arXiv preprint arXiv:2203.13317, 2022 | 8 | 2022 |
| A correlation network model utilizing gait parameters for evaluating health levels E Rastegari, H Ali Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 7 | 2017 |
| An Innovative Comparative Analysis Approach for the Assessment of Laparoscopic Surgical Skills S Malisetty, HH Ali, E Rastegari, KC Siu Surgeries 4 (1), 46-57, 2023 | 2 | 2023 |
| Assessing Laparoscopic Surgical Skills Using Similarity Network Models: A Pilot Study E Rastegari, D Orn, M Zahiri, C Nelson, H Ali, KC Siu Surgical Innovation 28 (5), 600-610, 2021 | 2 | 2021 |
| Smart Computational Approaches with Advanced Feature Selection Algorithms for Optimizing the Classification of Mobility Data in Health Informatics E Rastegari, D Orn, H Ali Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | 2 | 2020 |
| Identifying personal messages: a step towards product/service review and opinion mining S Azizian, E Rastegari, B Ricks, M Hall 2017 International Conference on Computational Science and Computational …, 2017 | 2 | 2017 |
| A hierarchical learning model for extracting public health data from social media E Rastegari, H Ali | 2 | 2017 |
| Exploring the Impact of Hand Dominance on Laparoscopic Surgical Skills Development Using Network Models S Malisetty, E Rastegari, KC Siu, HH Ali Journal of Clinical Medicine 13 (4), 1150, 2024 | 1 | 2024 |
| Determining the temporal factors of survival associated with brain and nervous system cancer patients: A hybrid machine learning methodology G Nath, A Coursey, J Ekong, E Rastegari, S Sengupta, AZ Dag, D Delen International Journal of Healthcare Management, 1-15, 2023 | 1 | 2023 |
| Detection of parkinson’s disease using wrist accelerometer data and passive monitoring E Rastegari, H Ali, V Marmelat Sensors 22 (23), 9122, 2022 | 1 | 2022 |
| Advanced Computational Approaches for the Analysis of Mobility Data in Assessing Health Conditions and Advancing Data-Driven Healthcare E Rastegari University of Nebraska at Omaha, 2019 | 1 | 2019 |
| Introduction to the Minitrack on Generative and Conversational AI in Information Systems Research and Education: Opportunities and Challenges A French, E Rastegari, N Tahmasbi, G Shan | | 2024 |
| Introduction to Virtual, Augmented, and Mixed Reality in Healthcare Minitrack E Rastegari, N Tahmasbi Proceedings of the Annual Hawaii International Conference on System Sciences …, 2022 | | 2022 |
Nargess TahmasbiAssociate Professor, Penn State UniversityVerified email at psu.edu
