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- Large language models as oracles for instantiating ontologies with domain-specific knowledge (article in journal, 2025) — Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (article in journal, 2024) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (article in journal, 2024) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
- EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (article in journal, 2024) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
- Knowledge injection of Datalog rules via Neural Network Structuring with KINS (article in journal, 2023) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks (paper in proceedings, 2023) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini
- Measuring Trustworthiness in Neuro-Symbolic Integration (paper in proceedings, 2023) — Andrea Agiollo, Andrea Omicini
- Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (article in journal, 2023) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Peer-Reviewed Federated Learning (paper in proceedings, 2023) — Mattia Passeri, Andrea Agiollo, Andrea Omicini
- Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (article in journal, 2023) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini
- Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation (paper in proceedings, 2023) — Andrea Rafanelli, Stefania Costantini, Andrea Omicini
- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing (paper in proceedings, 2023) — Andrea Agiollo, Luciano C. Siebert, Pradeep K. Murukannaiah, Andrea Omicini
- A General-Purpose Protocol for Multi-Agent based Explanations (paper in proceedings, 2023) — Giovanni Ciatto, Matteo Magnini, Berk Bezcu, Reyhan Aydogan, Andrea Omicini
- A view to a KILL: Knowledge Injection via Lambda Layer (paper in proceedings, 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (article in journal, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- KINS: Knowledge Injection via Network Structuring (paper in proceedings, 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (paper in proceedings, 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- GNN2GNN: Graph Neural Networks to Generate Neural Networks (paper in proceedings, 2022) — Andrea Agiollo, Andrea Omicini
- Logic Programming library for Machine Learning: API design and prototype (paper in proceedings, 2022) — Giovanni Ciatto, Matteo Castigliò, Roberta Calegari
- Semantic Web-based Interoperability for Intelligent Agents with PSyKE (paper in proceedings, 2022) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (paper in proceedings, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (paper in proceedings, 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Towards Explainable Visionary Agents: License to Dare and Imagine (paper in proceedings, 2021) — Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (paper in proceedings, 2021) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
- Towards cooperative argumentation for MAS: An actor-based approach (paper in proceedings, 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini
- Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (paper in proceedings, 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (paper in proceedings, 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge (paper in proceedings, 2021) — Davide Calvaresi, Giovanni Ciatto, Amro Najjar, Reyhan Aydoğan, Leon Van der Torre, Andrea Omicini, Michael I. Schumacher