Multi-Frame Modal Symbolic Learning. - Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (OVERLAY@GandALF, 2021)

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

Decision Tree Learning with Spatial Modal Logics. - Giovanni Pagliarini; Guido Sciavicco (GandALF, 2021)

Predicting treatment recommendations in postmenopausal osteoporosis. - Gloria Bonaccorsi; Melchiore Giganti; Maxim Nitsenko; Giovanni Pagliarini; Giacomo Piva; Guido Sciavicco (J. Biomed. Informatics, 2021)

Multi-Models and Multi-Formulas Finite Model Checking for Modal Logic Formulas Induction. - Mauro Milella; Giovanni Pagliarini; Andrea Paradiso; Ionel Eduard Stan (OVERLAY@AI*IA, 2022)

Decision Trees with a Modal Flavor. - Dario Della Monica; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (AI*IA, 2022)

On Modal Logic Association Rule Mining. - Ionel Eduard Stan; Guido Sciavicco; Emilio Muñoz-Velasco; Giovanni Pagliarini; Mauro Milella; Andrea Paradiso (ICTCS, 2022)

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

Neural-Symbolic Temporal Decision Trees for Multivariate Time Series Classification. - Giovanni Pagliarini; Simone Scaboro; Giuseppe Serra 001; Guido Sciavicco; Ionel Eduard Stan (TIME, 2022)

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

Heuristic Minimization Modulo Theory of Modal Decision Trees Class-Formulas. - Giovanni Pagliarini; Andrea Paradiso; Sasha Rubin; Guido Sciavicco; Ionel Eduard Stan (OVERLAY@AI*IA, 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)

On Modal Logic Formulae Minimization. - Giovanni Pagliarini; Andrea Paradiso; Guido Sciavicco; Ionel Eduard Stan (CILC, 2024)

ModalFP-Growth: Efficient Extraction of Modal Association Rules from Non-Tabular Data. - Mauro Milella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (ICTCS, 2024)

Minimal Rules from Decision Forests: A Systematic Approach. - Giovanni Pagliarini; Andrea Paradiso; Marco Perrotta; Guido Sciavicco (OVERLAY, 2024)

Towards Modern Rule-Based Learning. - Giovanni Pagliarini; Edoardo Ponsanesi; Guido Sciavicco; Ionel Eduard Stan (OVERLAY, 2024)

Temporal Association Rules from Motifs (Short Paper). - Mauro Milella; Giovanni Pagliarini; Guido Sciavicco; Ionel Eduard Stan (TIME, 2025)

Symbolic Audio Classification via Modal Decision Tree Learning. - Enrico Marzano; Giovanni Pagliarini; Riccardo Pasini; Guido Sciavicco; Ionel Eduard Stan (CoRR, 2025)