Raphael Poulain
Orcid: 0000-0001-9893-5469
According to our database1,
Raphael Poulain
authored at least 9 papers
between 2021 and 2024.
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Bibliography
2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks.
CoRR, 2024
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
2022
Proceedings of the Machine Learning for Healthcare Conference, 2022
Proceedings of the Machine Learning for Health, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021