Rahmatollah Beheshti

58 papers A* 4A 3B 2Journal 29Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multimodal Data Processing Pipeline for MIMIC-IV Dataset. CoRR Farzana Islam Adiba, Varsha Danduri, Fahmida Liza Piya, Ali Abbasi, Mehak Gupta, Rahmatollah Beheshti
2026	J	`jnl`	AgenticSum: An Agentic Inference-Time Framework for Faithful Clinical Text Summarization. CoRR Fahmida Liza Piya, Rahmatollah Beheshti
2026	J	`jnl`	Layer-Specific Fine-Tuning for Improved Negation Handling in Medical Vision-Language Models. CoRR Ali Abbasi, Mehdi Taghipour, Rahmatollah Beheshti
2025	A*	`conf`	Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models. AAAI Fahmida Liza Piya, Rahmatollah Beheshti
2025	—	`conf`	ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs. MLHC Fahmida Liza Piya, Rahmatollah Beheshti
2025	J	`jnl`	ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs. CoRR Fahmida Liza Piya, Rahmatollah Beheshti
2025	B	`conf`	Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. CHASE Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti
2025	—	`conf`	HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning. BCB Md Mozaharul Mottalib, Thao-Ly T. Phan, Rahmatollah Beheshti
2025	J	`jnl`	HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning. CoRR Md Mozaharul Mottalib, Thao-Ly T. Phan, Rahmatollah Beheshti
2025	J	`jnl`	Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. CoRR Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour
2025	—	`conf`	Reward Hacking Mitigation using Verifiable Composite Rewards. BCB Mirza Farhan Bin Tarek, Rahmatollah Beheshti
2025	J	`jnl`	Reward Hacking Mitigation using Verifiable Composite Rewards. CoRR Mirza Farhan Bin Tarek, Rahmatollah Beheshti
2025	J	`jnl`	Tell Me You're Biased Without Telling Me You're Biased - Toward Revealing Implicit Biases in Medical LLMs. CoRR Farzana Islam Adiba, Rahmatollah Beheshti
2024	J	`jnl`	Aligning (Medical) LLMs for (Counterfactual) Fairness. CoRR Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
2024	—	`conf`	An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation. ML4H@NeurIPS Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez, Claudine Jurkovitz, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti
2024	J	`jnl`	An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation. CoRR Hamed Fayyaz, Mehak Gupta, Alejandra Perez Ramirez, Claudine Jurkovitz, H. Timothy Bunnell, Thao-Ly T. Phan, Rahmatollah Beheshti
2024	J	`jnl`	Bias patterns in the application of LLMs for clinical decision support: A comprehensive study. CoRR Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
2024	J	`jnl`	Enabling Scalable Evaluation of Bias Patterns in Medical LLMs. CoRR Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti
2024	J	`jnl`	Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. CoRR Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti
2024	A*	`conf`	Graph Transformers on EHRs: Better Representation Improves Downstream Performance. ICLR Raphael Poulain, Rahmatollah Beheshti
2024	B	`conf`	HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. CHASE Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
2024	J	`jnl`	HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. CoRR Fahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
2024	—	`conf`	Multimodal Sleep Apnea Detection with Missing or Noisy Modalities. MLHC Hamed Fayyaz, Niharika S. D'Souza, Rahmatollah Beheshti
2024	J	`jnl`	Multimodal Sleep Apnea Detection with Missing or Noisy Modalities. CoRR Hamed Fayyaz, Abigail Strang, Niharika Shimona D'Souza, Rahmatollah Beheshti
2023	—	`conf`	Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer Approach. MLHC Hamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
2023	—	`conf`	Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. FAccT Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
2023	J	`jnl`	Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. CoRR Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
2023	J	`jnl`	Subtyping Patients With Chronic Disease Using Longitudinal BMI Patterns. IEEE J. Biomed. Health Informatics Md Mozaharul Mottalib, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
2022	—	`conf`	An Extensive Data Processing Pipeline for MIMIC-IV. ML4H@NeurIPS Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
2022	J	`jnl`	An Extensive Data Processing Pipeline for MIMIC-IV. CoRR Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
2022	—	`conf`	Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. MLHC Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
2022	A*	`conf`	Flexible-Window Predictions on Electronic Health Records. AAAI Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2022	J	`jnl`	Obesity Prediction with EHR Data: A Deep Learning Approach with Interpretable Elements. ACM Trans. Comput. Heal. Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2022	—	`conf`	Predicting acute events using the movement patterns of older adults: an unsupervised clustering method. BCB Ramin Ramazi, Mary Elizabeth Bowen, Rahmatollah Beheshti
2022	—	`conf`	Predicting attrition patterns from pediatric weight management programs. ML4H@NeurIPS Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2022	J	`jnl`	Who will Leave a Pediatric Weight Management Program and When? - A machine learning approach for predicting attrition patterns. CoRR Hamed Fayyaz, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2021	—	`conf`	Concurrent imputation and prediction on EHR data using bi-directional GANs: Bi-GANs for EHR imputation and prediction. BCB Mehak Gupta, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2021	J	`jnl`	Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method. CoRR Mina Samizadeh, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
2021	J	`jnl`	Identifying the Risks of Chronic Diseases Using BMI Trajectories. CoRR Md Mozaharul Mottalib, Jessica C. Jones-Smith, Bethany Sheridan, Rahmatollah Beheshti
2021	J	`jnl`	Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models. BMC Medical Informatics Decis. Mak. Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer II, Randi E. Foraker
2021	—	`conf`	Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. BIBM Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti
2020	J	`jnl`	Time-series Imputation and Prediction with Bi-Directional Generative Adversarial Networks. CoRR Mehak Gupta, Rahmatollah Beheshti
2019	—	`conf`	Multi-modal Predictive Models of Diabetes Progression. BCB Ramin Ramazi, Christine Perndorfer, Emily Soriano, Jean-Philippe Laurenceau, Rahmatollah Beheshti
2019	J	`jnl`	Multi-modal Predictive Models of Diabetes Progression. CoRR Ramin Ramazi, Christine Perndorfer, Emily Soriano, Jean-Philippe Laurenceau, Rahmatollah Beheshti
2019	J	`jnl`	Obesity Prediction with EHR Data: A deep learning approach with interpretability. CoRR Mehak Gupta, Thao-Ly T. Phan, George Datto, H. Timothy Bunnell, Rahmatollah Beheshti
2015	J	`jnl`	A hybrid modeling approach for parking and traffic prediction in urban simulations. AI Soc. Rahmatollah Beheshti, Gita Sukthankar
2015	A*	`conf`	Cognitive Social Learners: An Architecture for Modeling Normative Behavior. AAAI Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Reese Sukthankar
2015	A	`conf`	Modeling Tipping Point Theory using Normative Multi-agent Systems: (Extended Abstract). AAMAS Rahmatollah Beheshti, Gita Sukthankar
2015	—	`conf`	Modeling implicit collaboration with normative agent architectures. CTS Gita Sukthankar, Rahmatollah Beheshti
2015	J	`jnl`	Modeling social norms in real-world agent-based simulations. AI Matters Rahmatollah Beheshti
2014	A	`conf`	A normative agent-based model for predicting smoking cessation trends. AAMAS Rahmatollah Beheshti, Gita Sukthankar
2014	J	`jnl`	HOMAN, a learning based negotiation method for holonic multi-agent systems. J. Intell. Fuzzy Syst. Rahmatollah Beheshti, Nasser Mozayani
2014	—	`conf`	Negotiations in Holonic Multi-agent Systems. ANAC@AAMAS Rahmatollah Beheshti, Roghayeh Barmaki, Nasser Mozayani
2014	A	`conf`	Normative agents for real-world scenarios. AAMAS Rahmatollah Beheshti
2013	—	`conf`	Analyzing Agent-Based Models Using Category Theory. IAT Rahmatollah Beheshti, Gita Sukthankar
2013	—	`conf`	Improving Markov Chain Monte Carlo Estimation with Agent-Based Models. SBP Rahmatollah Beheshti, Gita Sukthankar
2012	—	`conf`	Extracting Agent-Based Models of Human Transportation Patterns. SocialInformatics Rahmatollah Beheshti, Gita Sukthankar
2011	—	`conf`	A New Mechanism for Negotiations in Multi-Agent Systems Based on ARTMAP Artificial Neural Network. KES-AMSTA Rahmatollah Beheshti, Nasser Mozayani