Rahmatollah Beheshti

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 32

Top Topics

Unsupervised Clustering

Movement Patterns

Cardiovascular Disease

Top Venues

Publications

Raphael Poulain, Rahmatollah Beheshti
Graph Transformers on EHRs: Better Representation Improves Downstream Performance. ICLR (2024)
Hamed Fayyaz, Abigail Strang, Niharika Shimona D'Souza, Rahmatollah Beheshti
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities. CoRR (2024)
Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. CHASE (2024)
Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. CoRR (2024)
Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study. CoRR (2024)
Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. CoRR (2024)
Md Mozaharul Mottalib, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
Subtyping Patients With Chronic Disease Using Longitudinal BMI Patterns. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. CoRR (2023)
Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach. MLHC (2023)
Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. FAccT (2023)
Ramin Ramazi, Mary Elizabeth Bowen, Rahmatollah Beheshti
Predicting acute events using the movement patterns of older adults: an unsupervised clustering method. BCB (2022)
Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Predicting attrition patterns from pediatric weight management programs. ML4H@NeurIPS (2022)
Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns. CoRR (2022)
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
An Extensive Data Processing Pipeline for MIMIC-IV. CoRR (2022)
Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Flexible-Window Predictions on Electronic Health Records. AAAI (2022)
Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements. ACM Trans. Comput. Heal. 3 (3) (2022)
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
An Extensive Data Processing Pipeline for MIMIC-IV. ML4H@NeurIPS (2022)
Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. MLHC (2022)
Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. BIBM (2021)
Md Mozaharul Mottalib, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
Identifying the Risks of Chronic Diseases Using BMI Trajectories. CoRR (2021)
Mina Samizadeh, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method. CoRR (2021)
Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer II, Randi E. Foraker
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction. BCB (2021)
Mehak Gupta, Rahmatollah Beheshti
Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks. CoRR (2020)
Mehak Gupta, Thao-Ly T. Phan, George Datto, H. Timothy Bunnell, Rahmatollah Beheshti
Obesity Prediction with EHR Data: A deep learning approach with interpretability. CoRR (2019)
Ramin Ramazi, Christine Perndorfer, Emily Soriano, Jean-Philippe Laurenceau, Rahmatollah Beheshti
Multi-modal Predictive Models of Diabetes Progression. CoRR (2019)
Ramin Ramazi, Christine Perndorfer, Emily Soriano, Jean-Philippe Laurenceau, Rahmatollah Beheshti
Multi-modal Predictive Models of Diabetes Progression. BCB (2019)
Rahmatollah Beheshti
Modeling social norms in real-world agent-based simulations. AI Matters 2 (1) (2015)
Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Reese Sukthankar
Cognitive Social Learners: An Architecture for Modeling Normative Behavior. AAAI (2015)
Rahmatollah Beheshti, Gita Sukthankar
A hybrid modeling approach for parking and traffic prediction in urban simulations. AI Soc. 30 (3) (2015)
Rahmatollah Beheshti, Gita Sukthankar
Modeling Tipping Point Theory using Normative Multi-agent Systems: (Extended Abstract). AAMAS (2015)
Gita Sukthankar, Rahmatollah Beheshti
Modeling implicit collaboration with normative agent architectures. CTS (2015)
Rahmatollah Beheshti
Normative agents for real-world scenarios. AAMAS (2014)
Rahmatollah Beheshti, Gita Sukthankar
A normative agent-based model for predicting smoking cessation trends. AAMAS (2014)
Rahmatollah Beheshti, Roghayeh Barmaki, Nasser Mozayani
Negotiations in Holonic Multi-agent Systems. ANAC@AAMAS (2014)
Rahmatollah Beheshti, Nasser Mozayani
HOMAN, a learning based negotiation method for holonic multi-agent systems. J. Intell. Fuzzy Syst. 26 (2) (2014)
Rahmatollah Beheshti, Gita Sukthankar
Analyzing Agent-Based Models Using Category Theory. IAT (2013)
Rahmatollah Beheshti, Gita Sukthankar
Improving Markov Chain Monte Carlo Estimation with Agent-Based Models. SBP (2013)
Rahmatollah Beheshti, Gita Sukthankar
Extracting Agent-Based Models of Human Transportation Patterns. SocialInformatics (2012)
Rahmatollah Beheshti, Nasser Mozayani
A New Mechanism for Negotiations in Multi-Agent Systems Based on ARTMAP Artificial Neural Network. KES-AMSTA (2011)