machine learning

A unified framework for dataset shift diagnostics
F. M. Polo, Rafael Izbicki, E. G. Lacerda Jr, J. P. Ibieta-Jimenez, R. Vicente
March, 2023 Information Sciences
Preprint
NLS: Hierarchical clustering: visualization, feature importance and model selection
We propose methods for the analysis of hierarchical clustering that fully use the multi-resolution structure provided by a dendrogram. …
L. M. C. Cabezas, Rafael Izbicki, R. B. Stern
February, 2023 Applied Soft Computing Journal
Preprint
Simulation-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms or Posterior Estimators for Inverse Problems
L. Masserano, T. Dorigo, Rafael Izbicki, M. Kuusela, A. B. Lee
February, 2023 Proceedings of Machine Learning Research (AISTATS track)
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Quantifying uncertainty in land-use land-cover classification using conformal statistics
D. Valle, Rafael Izbicki, R. Leite
February, 2023 Remote Sensing of Environment
NLS: An accurate and yet easy-to-interpret prediction method
Over the last years, the predictive power of supervised machine learning (ML) has undergone impressive advances, achieving the status …
V. Coscrato, M. H. A. Inacio, T. Botari, Rafael Izbicki
January, 2023 Neural Networks
Preprint PDF
A new LDA formulation with covariates
G. Shimizu, Rafael Izbicki, D. Valle
January, 2023 Communications in Statistics - Simulation and Computation
Preprint
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
T. McNeely, G. Vincente, K. M. Wood, Rafael Izbicki, A. B. Lee
August, 2022 Annals of Applied Statistics
Preprint PDF
CD-split and HPD-split: Efficient conformal regions in high dimensions
Conformal methods create prediction bands that control average coverage assuming solely i.i.d. data. We introduce CD-split and HPD-split, which yield general prediction regions and converge to the optimal highest predictive density set.
Rafael Izbicki, Gilson Shimizu, Rafael B. Stern
May, 2022 Journal of Machine Learning Research
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CD-split and HPD-split: Efficient conformal regions in high dimensions
Likelihood-Free Frequentist Inference: Confidence Sets with Correct Conditional Coverage
Many areas of science make extensive use of computer simulators that implicitly encode likelihood functions of complex systems. …
N. Dalmasso, L. Masserano, D. Zhao, Rafael Izbicki, A. B. Lee
April, 2022 Submitted
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Causas de desaparecimento no estado de São Paulo entre 2013 e 2014: uma análise automatizada de boletins de ocorrência
Este artigo estuda as causas de desaparecimento no estado de São Paulo por idade e sexo dos desaparecidos. Para tanto, utiliza algoritmos de aprendizado de máquina para avaliar automaticamente o texto de boletins de ocorrência.
Mateus B. Comito, Rafael Izbicki, Rafael B. Stern, Julio A. Z. Trecenti
February, 2021 In RDPESP
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