Rahmatollah Beheshti
Rahmatollah Beheshti
Other namesRahmat Beheshti
Assistant Professor, University of Delaware
Verified email at - Homepage
Cited by
Cited by
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements
M Gupta, TLT Phan, HT Bunnell, R Beheshti
ACM Transactions on Computing for Healthcare (HEALTH) 3 (3), 1-19, 2022
Comparing methods of targeting obesity interventions in populations: an agent-based simulation
R Beheshti, M Jalalpour, TA Glass
SSM-population health 3, 211-218, 2017
A hybrid modeling approach for parking and traffic prediction in urban simulations
R Beheshti, G Sukthankar
AI & society 30, 333-344, 2015
A normative agent-based model for predicting smoking cessation trends
R Beheshti, G Sukthankar
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
An extensive data processing pipeline for MIMIC-IV
M Gupta, B Gallamoza, N Cutrona, P Dhakal, R Poulain, R Beheshti
Machine Learning for Health, 311-325, 2022
Simulated models suggest that price per calorie is the dominant price metric that low-income individuals use for food decision making
R Beheshti, T Igusa, J Jones-Smith
The Journal of nutrition 146 (11), 2304-2311, 2016
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models
A Guo, R Beheshti, YM Khan, JR Langabeer, RE Foraker
BMC medical informatics and decision making 21, 1-10, 2021
Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction
M Gupta, TLT Phan, HT Bunnell, R Beheshti
Proceedings of the 12th ACM Conference on Bioinformatics, Computational …, 2021
Extracting agent-based models of human transportation patterns
R Beheshti, G Sukthankar
2012 International Conference on Social Informatics, 157-164, 2012
Cognitive social learners: An architecture for modeling normative behavior
R Beheshti, AM Ali, G Sukthankar
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Multi-modal predictive models of diabetes progression
R Ramazi, C Perndorfer, E Soriano, JP Laurenceau, R Beheshti
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
Time-series imputation and prediction with bi-directional generative adversarial networks
M Gupta, R Beheshti
arXiv preprint arXiv:2009.08900, 2020
Taking dietary habits into account: A computational method for modeling food choices that goes beyond price
R Beheshti, JC Jones-Smith, T Igusa
PLoS One 12 (5), e0178348, 2017
Improving fairness in ai models on electronic health records: The case for federated learning methods
R Poulain, MF Bin Tarek, R Beheshti
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
HOMAN, a learning based negotiation method for holonic multi-agent systems
R Beheshti, N Mozayani
Journal of Intelligent & Fuzzy Systems 26 (2), 655-666, 2014
Normative agents for real-world scenarios
R Beheshti
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
Few-shot learning with semi-supervised transformers for electronic health records
R Poulain, M Gupta, R Beheshti
Machine Learning for Healthcare Conference, 853-873, 2022
Transformer-based multi-target regression on electronic health records for primordial prevention of cardiovascular disease
R Poulain, M Gupta, R Foraker, R Beheshti
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
A predictive model of rat calorie intake as a function of diet energy density
R Beheshti, Y Treesukosol, T Igusa, TH Moran
American Journal of Physiology-Regulatory, Integrative and Comparative …, 2018
Improving Markov Chain Monte Carlo estimation with agent-based models
R Beheshti, G Sukthankar
Social Computing, Behavioral-Cultural Modeling and Prediction: 6th …, 2013
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