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Rahmatollah Beheshti

Showing results (1-10 of 27) with videos related to

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Proceedings of Machine Learning Research|August 4, 2023
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health RecordsRaphael Poulain, Mehak Gupta, Rahmatollah Beheshti
Proceedings of Machine Learning Research|February 12, 2024
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer ApproachHamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
The Journal of Nutrition|September 23, 2016
Simulated Models Suggest That Price per Calorie Is the Dominant Price Metric That Low-Income Individuals Use for Food Decision MakingRahmatollah Beheshti, Takeru Igusa, Jessica Jones-Smith
SSM - Population Health|January 20, 2018
Comparing methods of targeting obesity interventions in populations: An agent-based simulationRahmatollah Beheshti, Mehdi Jalalpour, Thomas A Glass
Proceedings of Machine Learning Research|March 11, 2025
Multimodal Sleep Apnea Detection with Missing or Noisy ModalitiesHamed Fayyaz, Niharika S D'Souza, Rahmatollah Beheshti
...Ieee...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies|October 15, 2024
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention NetworksFahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|January 23, 2023
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular DiseaseRaphael Poulain, Mehak Gupta, Randi Foraker, et al.
Plos One|May 26, 2017
Taking dietary habits into account: A computational method for modeling food choices that goes beyond priceRahmatollah Beheshti, Jessica C Jones-Smith, Takeru Igusa
Facct '23 : Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery|November 22, 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning MethodsRaphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
Delaware Journal of Public Health|April 7, 2026
Bias Patterns in the Application of LLMs for Clinical Decision Support: A Comprehensive StudyRaphael Poulain, Farzana Islam Adiba, Hamed Fayyaz, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Proceedings of Machine Learning Research|August 4, 2023
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health RecordsRaphael Poulain, Mehak Gupta, Rahmatollah Beheshti
Proceedings of Machine Learning Research|February 12, 2024
Bringing At-home Pediatric Sleep Apnea Testing Closer to Reality: A Multi-modal Transformer ApproachHamed Fayyaz, Abigail Strang, Rahmatollah Beheshti
The Journal of Nutrition|September 23, 2016
Simulated Models Suggest That Price per Calorie Is the Dominant Price Metric That Low-Income Individuals Use for Food Decision MakingRahmatollah Beheshti, Takeru Igusa, Jessica Jones-Smith
SSM - Population Health|January 20, 2018
Comparing methods of targeting obesity interventions in populations: An agent-based simulationRahmatollah Beheshti, Mehdi Jalalpour, Thomas A Glass
Proceedings of Machine Learning Research|March 11, 2025
Multimodal Sleep Apnea Detection with Missing or Noisy ModalitiesHamed Fayyaz, Niharika S D'Souza, Rahmatollah Beheshti
...Ieee...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies|October 15, 2024
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention NetworksFahmida Liza Piya, Mehak Gupta, Rahmatollah Beheshti
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|January 23, 2023
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular DiseaseRaphael Poulain, Mehak Gupta, Randi Foraker, et al.
Plos One|May 26, 2017
Taking dietary habits into account: A computational method for modeling food choices that goes beyond priceRahmatollah Beheshti, Jessica C Jones-Smith, Takeru Igusa
Facct '23 : Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery|November 22, 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning MethodsRaphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
Delaware Journal of Public Health|April 7, 2026
Bias Patterns in the Application of LLMs for Clinical Decision Support: A Comprehensive StudyRaphael Poulain, Farzana Islam Adiba, Hamed Fayyaz, et al.
Pageof 3