Thiago Ramos

According to our database1, Thiago Ramos authored at least 5 papers between 2022 and 2024.

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Bibliography

2024
Split Conformal Prediction and Non-Exchangeable Data.
J. Mach. Learn. Res., 2024

PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification.
CoRR, 2024

BlockBoost: Scalable and Efficient Blocking through Boosting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022


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