publications

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

2026

  1. Drift-Aware Uncertainty Quantification via a Functional Spectral-Newton Method
    Thiago Ramos, Alek Fröhlich, Daniel Perazzo, and 1 more author
    In Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop, 2026
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  2. LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions
    Matheus Barreto, Mário Castro, Thiago R. Ramos, and 2 more authors
    2026
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  3. Conformal Calibration of Statistical Confidence Sets
    Luben Miguel Cruz Cabezas, Guilherme Soares, Thiago Ramos, and 2 more authors
    Transactions on Machine Learning Research, 2026
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  4. CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
    Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos, and 2 more authors
    Philosophical Transactions of the Royal Society A, 2026
    Accepted for publication
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  5. LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
    Vagner Santos, Victor Coscrato, Luben Cabezas, and 2 more authors
    arXiv preprint arXiv:2602.22432, 2026
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  6. Conformal Prediction via Transported Beta Laws
    Thiago R. Ramos, Helton Graziadei, and Luben M. C. Cabezas
    In Fifteenth Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2026), 2026
    Accepted for publication
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  7. Quantifying oxide glass similarity through learned distances: a SHAP-based Earth Mover’s Distance
    Rafael Baságlia Rosante, Gustavo Laranja Thomaello, Thomaz Yeiden Busnardo Aguena, and 3 more authors
    Journal of Non-Crystalline Solids, 2026
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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
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  2. Epistemic Uncertainty in Conformal Scores: A Unified Approach
    Luben Miguel Cruz Cabezas, Vagner Silva Santos, Thiago Ramos, and 1 more author
    In Proceedings of the Forty-first Conference on Uncertainty in Artificial Intelligence, 2025
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  3. Simulação Estocástica
    Thiago Rodrigo Ramos
    2025
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  4. From Patents to Dataset: Scraping for Oxide Glass Compositions and Properties
    Gustavo Laranja Thomaello, Thomaz Yeiden Busnardo Aguena, Eric Trevelato Costa, and 4 more authors
    arXiv preprint arXiv:2511.16366, 2025
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  5. Conformal Prediction for Compositional Data
    Lucas P. Amaral, Luben M. C. Cabezas, Thiago R. Ramos, and 1 more author
    2025
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  6. Aprendizado de máquinas
    Thiago Rodrigo Ramos
    2025
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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
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  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
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  3. 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
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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
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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
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2018

  1. Teoria ergódica em fluxos homogêneos e teoremas de Ratner
    Thiago Rodrigo Ramos
    Universidade de São Paulo, 2018