Split conformal prediction for dependent data RI Oliveira, P Orenstein, T Ramos, J Vitor Romano arXiv e-prints, arXiv: 2203.15885, 2022 | 15 | 2022 |
Split conformal prediction and non-exchangeable data RI Oliveira, P Orenstein, T Ramos, JV Romano Journal of Machine Learning Research 25 (225), 1-38, 2024 | 8 | 2024 |
AmnioML: amniotic fluid segmentation and volume prediction with uncertainty quantification D Csillag, LM Paes, T Ramos, JV Romano, R Schuller, RB Seixas, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15494 …, 2023 | 8 | 2023 |
Distribution-Free Calibration of Statistical Confidence Sets L Cabezas, GP Soares, TR Ramos, RB Stern, R Izbicki arXiv preprint arXiv:2411.19368, 2024 | | 2024 |
Modeling and Predicting Crimes in the City of São Paulo Using Graph Neural Networks W Hassan, MM Cabral, TR Ramos, AC Filho, LG Nonato Brazilian Conference on Intelligent Systems, 372-386, 2024 | | 2024 |
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification A Fröhlich, T Ramos, G Cabello, I Buzatto, R Izbicki, D Tiezzi arXiv preprint arXiv:2408.15458, 2024 | | 2024 |
BlockBoost: Scalable and Efficient Blocking through Boosting T Ramos, RL Schuller, AA Okuno, L Nissenbaum, RI Oliveira, P Orenstein International Conference on Artificial Intelligence and Statistics, 2575-2583, 2024 | | 2024 |
ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics D Csillag, C Piazza, T Ramos, JV Romano, RI Oliveira, P Orenstein International Conference on Artificial Intelligence and Statistics, 9017-9049, 2022 | | 2022 |
Teoria ergódica em fluxos homogêneos e teoremas de Ratner TR Ramos Universidade de São Paulo, 2018 | | 2018 |
Uncertainty Quantification for Amniotic Fluid Segmentation and Volume Prediction D Csillag, L Monteiro, T Ramos, JV Romano, R Schuller, RI Oliveira, ... | | |
Optimizing Combinatorial and Non-decomposable Metrics with ExactBoost D Csillag, C Piazza, T Ramos, JV Romano, R Oliveira, P Orenstein | | |