An Investigation of Covid-19 Papers for a Content-Based Recommendation System. - Leonard Barolli; Francesco Di Cicco; Mattia Fonisto (3PGCIC, 2021)

A Survey on Neural Recommender Systems: Insights from a Bibliographic Analysis. - Flora Amato; Francesco Di Cicco; Mattia Fonisto; Marco Giacalone (AINA (3), 2022)

An Intelligent Conversational Agent for the Legal Domain. - Flora Amato; Mattia Fonisto; Marco Giacalone; Carlo Sansone (Inf., 2023)

A Chatbot for Specialized Domain. - Egidia Cirillo; Mattia Fonisto; Marco Giacalone; Alberto Moccardi (3PGCIC, 2024)

Optimizing Legal Information Access: Federated Search and RAG for Secure AI-Powered Legal Solutions. - Flora Amato; Egidia Cirillo; Mattia Fonisto; Alberto Moccardi (IEEE Big Data, 2024)

Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications. - Flora Amato; Egidia Cirillo; Mattia Fonisto; Alberto Moccardi; Vincenzo Moscato; Carlo Sansone; Stefano Marrone 002; Antonio Maria Rinaldi; Antonio Galli; Domenico Benfenati; Giovanni Maria De Filippis; Lidia Marassi; et al. (Ital-IA, 2024)

Machine Learning Approaches for Detecting Subclinical Mastitis in Dairy Animals: A Brief Review of Recent Literature. - Alessandra Amato; Francesco Bonavolontà; Mattia Fonisto; Maria Teresa Verde (AINA (7), 2025)

Data-Driven Peer Tutoring: Machine Learning for Effective Group Composition. - Mattia Fonisto; Antonio Marino; Marcello Pelosi; Alberto Moccardi (EIDWT, 2025)