autore : Matteo Magnini

Unfair Inequality in Education: A Benchmark for AI-Fairness Research (Scientific Data, 2026) — Joseph Giovanelli, Matteo Magnini, Giovanni Ciatto, Angel S. Marrero, Andrea Borghesi, Gustavo A. Marrero, Roberta Calegari

NL2UNIFOL: From Natural Language Sentences to Uniform First-Order Logic Formulae (SKILLED-LLMs 2026 @ FLoC 2026) — Matteo Magnini, Davide Liga, Luca Pasetto

Performant and Small: Can We Have Both? SLMs on Mobile Devices for Healthcare Chatbots (TELMED 2026 @ PerCom 2026) — Aqila Farahmand, Sara Montagna, Alessandro Bogliolo, Stefano Ferretti, Matteo Magnini

Agentic Architecture for Data-Centric AutoML (ADBIS 2026) — Mattia Matteini, Matteo Magnini, Matteo Francia, Giovanni Ciatto, Andrea Omicini

Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration (The Agents Journey, 2026) — Andrea Agiollo, Roberta Calegari, Giovanni Ciatto, Matteo Magnini, Andrea Omicini, Federico Sabbatini

Large language models as oracles for instantiating ontologies with domain-specific knowledge (Knowledge-Based Systems, 2025) — Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini

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

A Domain-Specific Language for NeSy Focussing on Symbolic Knowledge Injection (ANSyA 2025 @ ECAI-2025) — Mattia Matteini, Giovanni Ciatto, Matteo Magnini, Emre Kuru, Reyhan Aydoğan, Andrea Omicini

Actively Learning EL Terminologies from Large Language Models (ECAI-2025) — Matteo Magnini, Riccardo Squarcialupi, Martin T. Sterri, Ana Ozaki

Privacy-preserving LLM-based chatbots for hypertensive patient self-management (Smart Health, 2025) — Sara Montagna, Stefano Ferretti, Lorenz Cuno Klopfenstein, Michelangelo Ungolo, Martino Francesco Pengo, Gianluca Aguzzi, Matteo Magnini

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

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

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

Enforcing Fairness via Constraint Injection with FaUCI (AEQUITAS 2024) — Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini

Actively Learning Ontologies from LLMs: First Results (Extended Abstract) (DL 2024) — Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi

Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments (Autonomous Agents and Multi-Agent Systems, 2023) — Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini

Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (AIxIA 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini

Knowledge injection of Datalog rules via Neural Network Structuring with KINS (Journal of Logic and Computation, 2023) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini

A General-Purpose Protocol for Multi-Agent based Explanations (EXTRAAMAS 2023 @ AAMAS 2023) — Giovanni Ciatto, Matteo Magnini, Berk Bezcu, Reyhan Aydogan, Andrea Omicini

Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (Computer Methods and Programs in Biomedicine, 2023) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini

A view to a KILL: Knowledge Injection via Lambda Layer (WOA 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini

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

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