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stat.ML2025
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
Giuseppe Loffredo, Elvira Romano, Fabrizio MAturo
Functional survival models are key tools for analyzing time-to-event data with complex predictors, such as functional or high-dimensional inputs. Despite their predictive strength,…
stat.ML2024
Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
Donato Riccio, Fabrizio Maturo, Elvira Romano
Functional data analysis (FDA) and ensemble learning can be powerful tools for analyzing complex environmental time series. Recent literature has highlighted the key role of divers…