Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Raphael Poulain

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
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. 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.
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.
Proceedings of Machine Learning Research|January 23, 2023
An Extensive Data Processing Pipeline for MIMIC-IVMehak Gupta, Brennan Gallamoza, Nicolas Cutrona, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 31, 2022
Flexible-Window Predictions on Electronic Health RecordsMehak Gupta, Raphael Poulain, Thao-Ly T Phan, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
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. 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.
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.
Proceedings of Machine Learning Research|January 23, 2023
An Extensive Data Processing Pipeline for MIMIC-IVMehak Gupta, Brennan Gallamoza, Nicolas Cutrona, et al.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 31, 2022
Flexible-Window Predictions on Electronic Health RecordsMehak Gupta, Raphael Poulain, Thao-Ly T Phan, et al.
Pageof 1