Interval Temporal Random Forests with an Application to COVID-19 Diagnosis. - Federico Manzella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (TIME, 2021)

Statistical and Symbolic Neuroaesthetics Rules Extraction from EEG Signals. - Maddalena Coccagna; Federico Manzella; S. Mazzacane; Giovanni Pagliarini; Guido Sciavicco (IWINAC (1), 2022)

Efficient Modal Decision Trees. - Federico Manzella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (AI*IA, 2023)

A Post-Modern Approach to Automatic Metaphor Identification. - Dario Del Fante; Federico Manzella; Guido Sciavicco; Ionel Eduard Stan (CLiC-it, 2023)

Evolutionary Explainable Rule Extraction from (Modal) Random Forests. - Michele Ghiotti; Federico Manzella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (ECAI, 2023)

(Un)supervised Univariate Feature Extraction and Selection for Dimensional Data. - Patrik Cavina; Federico Manzella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (itaDATA, 2023)

The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests. - Federico Manzella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (Artif. Intell. Medicine, 2023)