Raphael Poulain

Orcid: 0000-0001-9893-5469

According to our database1, Raphael Poulain authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Aligning (Medical) LLMs for (Counterfactual) Fairness.
CoRR, 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

Graph Transformers on EHRs: Better Representation Improves Downstream Performance.
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
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records.
Proceedings of the Machine Learning for Healthcare Conference, 2022

An Extensive Data Processing Pipeline for MIMIC-IV.
Proceedings of the Machine Learning for Health, 2022

Flexible-Window Predictions on Electronic Health Records.
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


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