3 papers
cs.AI2025
ARCADIA: Scalable Causal Discovery for Corporate Bankruptcy Analysis Using Agentic AI
Fabrizio Maturo, Donato Riccio, Andrea Mazzitelli +3
This paper introduces ARCADIA, an agentic AI framework for causal discovery that integrates large-language-model reasoning with statistical diagnostics to construct valid, temporal…
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…
stat.ME2024
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…