publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Personalizedus: Interpretable breast cancer risk assessment with local coverage uncertainty quantification
    Alek Fröhlich, Thiago Ramos, Gustavo Motta Cabello Dos Santos, and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
  2. Epistemic uncertainty in conformal scores: A unified approach
    Luben Cabezas, Vagner S Santos, Thiago R Ramos, and 1 more author
    arXiv preprint arXiv:2502.06995, 2025
  3. CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
    Luben Cabezas, Vagner S Santos, Thiago R Ramos, and 2 more authors
    arXiv preprint arXiv:2508.17077, 2025

2024

  1. Split conformal prediction and non-exchangeable data
    Roberto I Oliveira, Paulo Orenstein, Thiago Ramos, and 1 more author
    Journal of Machine Learning Research, 2024
  2. BlockBoost: Scalable and Efficient Blocking through Boosting
    Thiago Ramos, Rodrigo Loro Schuller, Alex Akira Okuno, and 3 more authors
    In International Conference on Artificial Intelligence and Statistics, 2024
  3. Distribution-free calibration of statistical confidence sets
    Luben Cabezas, Guilherme P Soares, Thiago R Ramos, and 2 more authors
    arXiv preprint arXiv:2411.19368, 2024
  4. Modeling and Predicting Crimes in the City of São Paulo Using Graph Neural Networks
    Waqar Hassan, Marvin Mendes Cabral, Thiago Rodrigo Ramos, and 2 more authors
    In Brazilian Conference on Intelligent Systems, 2024

2023

  1. AmnioML: amniotic fluid segmentation and volume prediction with uncertainty quantification
    Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, and 5 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023

2022

  1. ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
    Daniel Csillag, Carolina Piazza, Thiago Ramos, and 3 more authors
    In International Conference on Artificial Intelligence and Statistics, 2022
  2. Split conformal prediction for dependent data
    Roberto I Oliveira, Paulo Orenstein, Thiago Ramos, and 1 more author
    arXiv e-prints, 2022