Rahmatollah Beheshti
Orcid: 0000-0001-8912-3063Affiliations:
- University of Delaware, USA
- Johns Hopkins University, USA
According to our database1,
Rahmatollah Beheshti
authored at least 33 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on pages.jh.edu
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Bibliography
2024
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks.
CoRR, 2024
2023
IEEE J. Biomed. Health Informatics, April, 2023
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
2022
Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements.
ACM Trans. Comput. Heal., 2022
Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns.
CoRR, 2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
Proceedings of the Machine Learning for Health, 2022
Proceedings of the Machine Learning for Health, 2022
Predicting acute events using the movement patterns of older adults: an unsupervised clustering method.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models.
BMC Medical Informatics Decis. Mak., 2021
Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method.
CoRR, 2021
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks.
CoRR, 2020
2019
CoRR, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2015
AI Soc., 2015
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015
Modeling Tipping Point Theory using Normative Multi-agent Systems: (Extended Abstract).
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
J. Intell. Fuzzy Syst., 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
Proceedings of the Recent Advances in Agent-based Complex Automated Negotiation [revised and extended papers from the 7th International Workshop on Agent-based Complex Automated Negotiation, 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
2013
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2013
2012
Proceedings of the 2012 International Conference on Social Informatics (SocialInformatics), 2012
2011
A New Mechanism for Negotiations in Multi-Agent Systems Based on ARTMAP Artificial Neural Network.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2011