4 papers · 1 filter
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features
Fabrizio Maturo, Annamaria Porreca
The positioning of this research falls within the scalar-on-function classification literature, a field of significant interest across various domains, particularly in statistics,…
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…
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
Fabrizio Maturo, Annamaria Porreca
This paper introduces a novel supervised classification strategy that integrates functional data analysis (FDA) with tree-based methods, addressing the challenges of high-dimension…
Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
Fabrizio Maturo, Annamaria Porreca
The advent of big data has raised significant challenges in analysing high-dimensional datasets across various domains such as medicine, ecology, and economics. Functional Data Ana…