10 citations · 15 across the 7 of their papers we have counts for
8 papers
Functional Clustering of Discount Functions for Behavioral Investor Profiling
Annamaria Porreca, Viviana Ventre, Roberta Martino +2
Classical finance models are based on the premise that investors act rationally and utilize all available information when making portfolio decisions. However, these models often f…
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…
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,…
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…
Novel Fuzzy Centrality Measures in Vague Social Networks
Annamaria Porreca, Fabrizio Maturo, Viviana Ventre
Social network analysis (SNA) helps us understand the relationships and interactions between individuals, groups, organizations, or other social entities. In the literature, ties a…
Random Survival Forest for Censored Functional Data
Elvira Romano, Giuseppe Loffredo, Fabrizio Maturo
This paper introduces a Random Survival Forest (RSF) method for functional data. The focus is specifically on defining a new functional data structure, the Censored Functional Data…
Supervised Learning via Ensembles of Diverse Functional Representations: the Functional Voting Classifier
Donato Riccio, Fabrizio Maturo, Elvira Romano
Many conventional statistical and machine learning methods face challenges when applied directly to high dimensional temporal observations. In recent decades, Functional Data Analy…