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2020 – today
- 2026
[c17]Aqila Farahmand, Sara Montagna, Alessandro Bogliolo, Stefano Ferretti, Matteo Magnini:
Performant and Small: Can We Have Both? SLMs on Mobile Devices for Healthcare Chatbots. PerCom Workshops 2026: 1-6- [c16]Matteo Magnini, Davide Liga, Luca Pasetto:
NL2UNIFOL: from Natural Language Sentences to Uniform First-Order Logic Formulae. SKILLED-LLMs@FLoC 2026: 126-143 - [e1]Ha Thanh Nguyen, Francesca Toni, Kostas Stathis, Ken Satoh, Randy Goebel, Francesco Chiariello, Yves Lespérance, Matteo Magnini, Federico Sabbatini, Elena Umili, Nourhan Ehab, Mervat Abu-Elkheir:
Proceedings of the Joint Workshop on Statistics and Knowledge Integration for Logic, Learning, Ethical Decisions, and LLMs (SKILLED-LLMs 2026) co-located with the Federated Logic Conference 2026 (FLoC 2026), Lisbon, Portugal, July 18, 2026. CEUR Workshop Proceedings 4229, CEUR-WS.org 2026 [contents] - 2025
- [j6]Gianluca Aguzzi, Matteo Magnini, Aqila Farahmand, Stefano Ferretti, Martino Francesco Pengo, Sara Montagna:
RAG-Enhanced Open SLMs for Hypertension Management Chatbots. J. Medical Syst. 49(1): 159 (2025) - [j5]Giovanni Ciatto
, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Large language models as oracles for instantiating ontologies with domain-specific knowledge. Knowl. Based Syst. 310: 112940 (2025) - [c15]Gianluca Aguzzi, Matteo Magnini, Martino Francesco Pengo, Mirko Viroli, Sara Montagna:
A Fine-Tuning Pipeline with Small Conversational Data for Healthcare Chatbot. AIME (2) 2025: 1-5 - [c14]Mattia Matteini, Giovanni Ciatto, Matteo Magnini, Emre Kuru, Reyhan Aydogan, Andrea Omicini:
A Domain-Specific Language for NeSy Focussing on Symbolic Knowledge Injection. ANSyA@ECAI 2025: 84-92 - [c13]Matteo Magnini, Riccardo Squarcialupi, Martin T. Sterri, Ana Ozaki:
Actively Learning EL Terminologies from Large Language Models. ECAI 2025: 1792-1799 - [c12]Matteo Magnini, Gianluca Aguzzi, Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Mauro Dragoni, Sara Montagna:
Automated Machine Learning to Enhance Knowledge Retrieval in Retrieval-Augmented Generation Pipelines. HC@AIxIA+HYDRA 2025: 429-440 - [c11]Matteo Magnini, Giovanni Ciatto, Ahmet Emre Kuru, Christel Sirocchi, Sara Montagna:
Neuro-Symbolic AI for Supporting Chronic Disease Diagnosis and Monitoring. PerCom Workshops 2025: 446-451 - [i2]Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. CoRR abs/2501.14836 (2025) - 2024
- [j4]Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. ACM Comput. Surv. 56(6): 161:1-161:35 (2024) - [c10]Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini:
Enforcing Fairness via Constraint Injection with FaUCI. AEQUITAS@ECAI 2024 - [c9]Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi:
Actively Learning Ontologies from LLMs: First Results (Extended Abstract). Description Logics 2024 - [c8]Gianluca Aguzzi, Matteo Magnini, Stefano Ferretti, Giuseppe Pio Salcuni, Sara Montagna:
Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients. HC@AIxIA 2024: 189-201 - [c7]Sara Montagna, Gianluca Aguzzi, Stefano Ferretti, Martino Francesco Pengo, Lorenz Cuno Klopfenstein, Michelangelo Ungolo, Matteo Magnini:
LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis. PerCom Workshops 2024: 346-351 - [c6]Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini:
An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation. WOA 2024: 20-32 - [i1]Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Large language models as oracles for instantiating ontologies with domain-specific knowledge. CoRR abs/2404.04108 (2024) - 2023
- [j3]Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments. Auton. Agents Multi Agent Syst. 37(2): 27 (2023) - [j2]Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydogan, Andrea Omicini:
Symbolic knowledge extraction for explainable nutritional recommenders. Comput. Methods Programs Biomed. 235: 107536 (2023) - [j1]Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
Knowledge injection of Datalog rules via Neural Network Structuring with KINS. J. Log. Comput. 33(8): 1832-1850 (2023) - [c5]Giovanni Ciatto, Matteo Magnini, Berk Buzcu, Reyhan Aydogan, Andrea Omicini:
A General-Purpose Protocol for Multi-agent Based Explanations. EXTRAAMAS 2023: 38-58 - 2022
- [c4]Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems. DP@AI*IA 2022: 12-22 - [c3]Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors. EXTRAAMAS@AAMAS 2022: 90-108 - [c2]Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
KINS: Knowledge Injection via Network Structuring. CILC 2022: 254-267 - [c1]Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
A view to a KILL: knowledge injection via lambda layer. WOA 2022: 61-76
Coauthor Index
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last updated on 2026-08-06 23:04 CEST by the dblp team
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