|
[12]
|
Lorenzo Viviani, Alba Liso, Lisa Colotti, Sara Romano, Valentina Fogo, Fabrizio
Riguzzi, Giovanni Buccino, and Laila Craighero.
Differential temporal dynamics in motor imagery shaped by agent type
and action duration.
Psychological Research, 90(1):34, 2026.
[ bib |
DOI ]
|
|
[11]
|
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice
Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Dhami,
Michelangelo Diligenti, Sebastijan Dumančić, Boi Faltings,
Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola,
Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Lorello, Emanuele
Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi,
Stefano Teso, Neil Yorke-Smith, and Marco Lippi.
Benchmarking in neuro-symbolic ai.
In Wang-Zhou Dai, editor, Learning and Reasoning: 4th
International Joint Conference on Learning and Reasoning, IJCLR 2024, and
33rd International Conference on Inductive Logic Programming, ILP 2024,
Nanjing, China, September 20--22, 2024, Proceedings, pages 238--249, Cham,
2026. Springer Nature Switzerland.
[ bib |
DOI ]
|
|
[10]
|
Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, and Fabrizio Riguzzi.
Most probable explanation in probabilistic answer set programming.
In James Kwok, editor, Proceedings of the Thirty-Fourth
International Joint Conference on Artificial Intelligence, IJCAI-25, pages
9049--9057. International Joint Conferences on Artificial Intelligence
Organization, 8 2025.
Main Track.
[ bib |
DOI ]
|
|
[9]
|
Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, and Fabrizio Riguzzi.
A novel framework for reasoning over optimization problems in
probabilistic answer set programming.
In Proceedings of the 22nd International Conference on
Principles of Knowledge Representation and Reasoning, pages 67--77, 10
2025.
[ bib |
DOI ]
|
|
[8]
|
Damiano Azzolini, Giuseppe Mazzotta, Francesco Ricca, and Fabrizio Riguzzi.
An algebraic view of MAP inference in probabilistic answer set
programs.
In ECAI 2025 28th - European Conference on Artificial
Intelligence, 25-30 October 2025, Bologna, Italy - Including 14th Conference
on Prestigious Applications of Intelligent Systems (PAIS 2025), volume 413
of Frontiers in Artificial Intelligence and Applications. IOS Press,
2025.
[ bib |
DOI ]
|
|
[7]
|
Alice Bizzarri, Chung-En (Johnny) Yu, Brian Jalaian, Fabrizio Riguzzi, and
Nathaniel D. Bastian.
Neurosymbolic ai for network intrusion detection systems: A survey.
Journal of Information Security and Applications, 94:104205,
2025.
[ bib |
DOI |
http ]
|
|
[6]
|
Damiano Azzolini, Fabrizio Riguzzi, and Theresa Swift.
Integrating belief domains into probabilistic logic programming.
Theory and Practice of Logic Programming, 2025.
[ bib |
DOI ]
|
|
[5]
|
Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese.
A semantics for probabilistic hybrid knowledge bases with function
symbols.
Artificial Intelligence, 346:104361, 2025.
[ bib |
DOI |
http ]
|
|
[4]
|
Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, and Nathaniel D.
Bastian.
Neuro-symbolic integration for open set recognition in network
intrusion detection.
In Alessandro Artale, Gabriella Cortellessa, and Marco Montali,
editors, AIxIA 2024 -- Advances in Artificial Intelligence, pages
50--63, Cham, 2025. Springer Nature Switzerland.
[ bib |
DOI ]
|
|
[3]
|
Damiano Azzolini, Elena Bellodi, Rafael Kiesel, and Fabrizio Riguzzi.
Solving decision theory problems with probabilistic answer set
programming.
Theory and Practice of Logic Programming, 2025.
[ bib |
DOI ]
|
|
[2]
|
Stefano Sambri, Atefeh Ghanbari, and Fabrizio Riguzzi.
An evaluation of open source llms for neuro-symbolic integration.
In Dario Guidotti, Laura Pandolfo, and Luca Pulina, editors,
Proceedings of the 40th Italian Conference on Computational
Logic,(CILC2025), volume 4003 of CEUR Workshop Proceedings, pages
1--14, Aachen, Germany, 2024. Sun SITE Central Europe.
[ bib |
.pdf ]
|
|
[1]
|
Riccardo Zese, Evelina Lamma, and Fabrizio Riguzzi.
Exploiting uncertainty for querying inconsistent description logics
knowledge bases.
Logical Methods in Computer Science, Volume 21, Issue 3, Aug
2025.
[ bib |
DOI |
http ]
|