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Thiago Rodrigo Ramos
Thiago Rodrigo Ramos
Other namesThiago Ramos
Assistant Professor at UFSCar
Verified email at ufscar.br - Homepage
Title
Cited by
Cited by
Year
Split conformal prediction for dependent data
RI Oliveira, P Orenstein, T Ramos, J Vitor Romano
arXiv e-prints, arXiv: 2203.15885, 2022
152022
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
82024
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
82023
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
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