Hierarchical clustering: Visualization, feature importance and model selection LMC Cabezas, R Izbicki, RB Stern Applied Soft Computing 141, 110303, 2023 | 30 | 2023 |
Regression trees for fast and adaptive prediction intervals LMC Cabezas, MP Otto, R Izbicki, RB Stern Information Sciences 686, 121369, 2025 | 2 | 2025 |
Use of Soybean Oil like as Fuel for Diesel Cycle Engine MT de Ávila, L Cabezas-Gómez, LMC Cabezas, SP de Souza, ... Semina: Ciências Exatas e Tecnológicas 44, e48045-e48045, 2023 | 2 | 2023 |
Rethinking hypothesis tests R Izbicki, L Cabezas, FAB Colugnatti, RFL Lassance, AAL de Souza, ... arXiv preprint arXiv:2308.09112, 2023 | 1 | 2023 |
Regression Trees for Fast and Adaptive Prediction Intervals L Cruz Cabezas, MP Otto, R Izbicki, R Stern Mateus Piovezan and Izbicki, Rafael and Stern, Rafael, Regression Trees for …, 0 | 1 | |
Epistemic Uncertainty in Conformal Scores: A Unified Approach L Cabezas, VS Santos, TR Ramos, R Izbicki arXiv preprint arXiv:2502.06995, 2025 | | 2025 |
Distribution-Free Calibration of Statistical Confidence Sets L Cabezas, GP Soares, TR Ramos, RB Stern, R Izbicki arXiv preprint arXiv:2411.19368, 2024 | | 2024 |
Toward local and valid uncertainty estimation in machine learning LMC Cabezas, MP Otto, R Izbicki, RB Stern Livro de Resumos, 2023 | | 2023 |
Métodos de aprendizado ativo LMC Cabezas Universidade Federal de São Carlos, 2022 | | 2022 |
Previsão em modelos filogenéticos LM Cabezas, RB Stern XXVII CIC e XII CIDTI, 2021 | | 2021 |
REACT to NHST: Sensible conclusions to meaningful hypotheses R Izbicki, LMC Cabezas, FAB Colugnatti | | |