Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems. - Matteo Magnini; Giovanni Ciatto; Andrea Omicini (DP@AI*IA, 2022)

On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors. - Matteo Magnini; Giovanni Ciatto; Andrea Omicini (EXTRAAMAS@AAMAS, 2022)

KINS: Knowledge Injection via Network Structuring. - Matteo Magnini; Giovanni Ciatto; Andrea Omicini (CILC, 2022)

A view to a KILL: knowledge injection via lambda layer. - Matteo Magnini; Giovanni Ciatto; Andrea Omicini (WOA, 2022)

A General-Purpose Protocol for Multi-agent Based Explanations. - Giovanni Ciatto; Matteo Magnini; Berk Buzcu; Reyhan Aydogan; Andrea Omicini (EXTRAAMAS, 2023)

Symbolic knowledge extraction for explainable nutritional recommenders. - Matteo Magnini; Giovanni Ciatto; Furkan Cantürk; Reyhan Aydogan; Andrea Omicini (Comput. Methods Programs Biomed., 2023)

Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments. - Andrea Agiollo; Andrea Rafanelli; Matteo Magnini; Giovanni Ciatto; Andrea Omicini (Auton. Agents Multi Agent Syst., 2023)

Knowledge injection of Datalog rules via Neural Network Structuring with KINS. - Matteo Magnini; Giovanni Ciatto; Andrea Omicini (J. Log. Comput., 2023)

Enforcing Fairness via Constraint Injection with FaUCI. - Matteo Magnini; Giovanni Ciatto; Roberta Calegari; Andrea Omicini (AEQUITAS@ECAI, 2024)

Actively Learning Ontologies from LLMs: First Results (Extended Abstract). - Matteo Magnini; Ana Ozaki; Riccardo Squarcialupi (Description Logics, 2024)

Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients. - Gianluca Aguzzi; Matteo Magnini; Stefano Ferretti; Giuseppe Pio Salcuni; Sara Montagna (HC@AIxIA, 2024)

LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis. - Sara Montagna; Gianluca Aguzzi; Stefano Ferretti; Martino Francesco Pengo; Lorenz Cuno Klopfenstein; Michelangelo Ungolo; Matteo Magnini (PerCom Workshops, 2024)

An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation. - Andrea Rafanelli; Matteo Magnini; Andrea Agiollo; Giovanni Ciatto; Andrea Omicini (WOA, 2024)

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. - Giovanni Ciatto; Federico Sabbatini; Andrea Agiollo; Matteo Magnini; Andrea Omicini (ACM Comput. Surv., 2024)

A Fine-Tuning Pipeline with Small Conversational Data for Healthcare Chatbot. - Gianluca Aguzzi; Matteo Magnini; Martino Francesco Pengo; Mirko Viroli; Sara Montagna (AIME (2), 2025)

Neuro-Symbolic AI for Supporting Chronic Disease Diagnosis and Monitoring. - Matteo Magnini; Giovanni Ciatto; Ahmet Emre Kuru; Christel Sirocchi; Sara Montagna (PerCom Workshops, 2025)

Large language models as oracles for instantiating ontologies with domain-specific knowledge. - Giovanni Ciatto; Andrea Agiollo; Matteo Magnini; Andrea Omicini (Knowl. Based Syst., 2025)