Per Year
- GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks (paper in proceedings) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini
- Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Burden of Persuasion: A Meta-argumentation Approach (article in journal) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
- Preface - Proceedings 39th International Conference on Logic Programming (editorial/introduction/preface) — Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni
- Measuring Trustworthiness in Neuro-Symbolic Integration (paper in proceedings) — Andrea Agiollo, Andrea Omicini
- Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023 (editorial/introduction/preface) — Roberta Calegari, Andrea Aler Tubella, Gabriel Gonzalez, Virginia Dignum, Michela Milano
- Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (article in journal) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation (paper in proceedings) — Andrea Rafanelli, Stefania Costantini, Andrea Omicini
- A General-Purpose Protocol for Multi-Agent based Explanations (paper in proceedings) — Giovanni Ciatto, Matteo Magnini, Berk Bezcu, Reyhan Aydogan, Andrea Omicini
- Knowledge injection of Datalog rules via Neural Network Structuring with KINS (article in journal) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Efficient compliance checking of RDF data (article in journal) — Livio Robaldo, Francesco Pacenza, Jessica Zangari, Roberta Calegari, Francesco Calimeri, Giovanni Siragusa
- Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Preface (editorial/introduction/preface) — Roberta Calegari, Giovanni Ciatto, Andrea Omicini
- Preface (editorial/introduction/preface) — Davide Calvaresi, Amro Najjar, Andrea Omicini, Kary Främling
- Peer-Reviewed Federated Learning (paper in proceedings) — Mattia Passeri, Andrea Agiollo, Andrea Omicini
- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing (paper in proceedings) — Andrea Agiollo, Luciano C. Siebert, Pradeep K. Murukannaiah, Andrea Omicini
- A geometric framework for fairness (paper in proceedings) — Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
- Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments (article in journal) — Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023) (edited volume) — Roberta Calegari, Andrea Aler Tubella, Gabriel González Castañe, Virginia Dignum, Michela Milano
- Explainable Clustering with CREAM (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Multi-Agent Cooperative Argumentation in Arg2P (paper in proceedings) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini
- Special Issue “Advances in Multi-Agent Systems”: Editorial (editorial/introduction/preface) — Stefano Mariani, Andrea Omicini
- Explainable and Transparent AI and Multi-Agent Systems (edited volume) — Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydoǧan, Rachele Carli, Giovanni Ciatto, Yazan Mualla, Kary Främling
- The PSyKE Technology for Trustworthy Artificial Intelligence (paper in proceedings) — Roberta Calegari, Federico Sabbatini
- Assessing and Enforcing Fairness in the AI Lifecycle (paper in proceedings) — Roberta Calegari, Gabriel G. Castañé, Michela Milano, Barry O’Sullivan
- Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies (article in journal) — Livio Robaldo, Sotiris Batsakis, Roberta Calegari, Francesco Calimeri, Megumi Fujita, Guido Governatori, Maria Concetta Morelli, Francesco Pacenza, Giuseppe Pisano, Ken Satoh, Ilias Tachmazidis, Jessica Zangari
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- EPTCS 385-Proceedings 39th International Conference on Logic Programming (edited volume) — Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni
- Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (article in journal) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini
publications
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IRIS ID
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2023
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personal
Andrea Agiollo
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Roberta Calegari
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Giovanni Ciatto
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Cristian Cosci
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Angelo Croatti
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Enrico Denti
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Matteo Magnini
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Sara Montagna
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Andrea Omicini
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Giuseppe Pisano
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Andrea Rafanelli
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Federico Sabbatini