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Fabrizio Riguzzi

Fabrizio Riguzzi's photo
Full Professor
Dipartimento di Matematica e Informatica, Università di Ferrara,
Dipartimento di Matematica e Informatica
University of Ferrara
Via Machiavelli 30, 44121, Ferrara, Italia
Tel: +390532974037 Fax: +390532974792
E-Mail: fabrizio.riguzzi@unife.it
Ricevimento: su appuntamento richiesto via email o telefono.
University Home Page

 

PLP book
New edition

Kalman filter in 2 dimensions
Generated with cplint and R
Interactive version

Research

Playing with Prolog videos: Map generation with cplint, Playing With Prolog Goes To The Movies (truel)

I belong to the research groups ML@unife

Links to online systems: cplint, TRILL, Online AUC calculator, Belief Propagation

Publications

Google Scholar, Semantic Scholar, Microsoft Academic, Loop, DBLPORCID, ScopusAcademia, MendeleyKudos, Publons, AMiner

Publications by type, publications by year

Latest Publications

[12] Arnaud Nguembang Fadja, Giuseppe Cota, Francesco Bertasi, Fabrizio Riguzzi, Enzo Losi, Lucrezia Manservigi, Mauro Venturini, and Giovanni Bechini. Machine learning approaches for the prediction of gas turbine transients. Journal of Computer Science, 20(5):495--510, Feb 2024. [ bib | DOI | http ]
[11] Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, and Fabrizio Riguzzi. Regularization in probabilistic inductive logic programming. In Elena Bellodi, Francesca Alessandra Lisi, and Riccardo Zese, editors, Inductive Logic Programming - ILP 2023, volume 14363 of Lecture Notes in Artificial Intelligence, pages 16--29, Cham, 2023. Springer Nature Switzerland. [ bib | DOI | http ]
[10] Fabrizio Riguzzi. Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning, Second Edition. River Publishers, Gistrup, Denmark, 2023. [ bib | http ]
[9] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Summary of statistical statements in probabilistic logic programming. volume 385, pages 384 -- 385, 2023. [ bib | DOI | http ]
[8] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Towards a representation of decision theory problems with probabilistic answer set programs. volume 385, pages 190 -- 191, 2023. [ bib | DOI | http ]
[7] Damiano Azzolini and Fabrizio Riguzzi. Inference in probabilistic answer set programming under the credal semantics. In Roberto Basili, Domenico Lembo, Carla Limongelli, and Andrea Orlandini, editors, AIxIA 2023 - Advances in Artificial Intelligence, volume 14318 of Lecture Notes in Artificial Intelligence, pages 367--380, Heidelberg, Germany, 2023. Springer. [ bib | DOI | http ]
[6] Damiano Azzolini and Fabrizio Riguzzi. Lifted inference for statistical statements in probabilistic answer set programming. International Journal of Approximate Reasoning, 163:109040, 2023. [ bib | DOI | http ]
[5] Tom Schrijvers, Birthe Van Den Berg, and Fabrizio Riguzzi. Automatic differentiation in prolog. Theory and Practice of Logic Programming, 23(4):900–917, 2023. [ bib | DOI | .pdf ]
[4] Damiano Azzolini, Elisabetta Gentili, and Fabrizio Riguzzi. Link prediction in knowledge graphs with probabilistic logic programming: Work in progress. In Joaquín Arias, Sotiris Batsakis, Wolfgang Faber, Gopal Gupta, Francesco Pacenza, Emmanuel Papadakis, Livio Robaldo, Kilian Ruckschloss, Elmer Salazar, Zeynep G. Saribatur, Ilias Tachmazidis, Felix Weitkamper, and Adam Wyner, editors, Proceedings of the International Conference on Logic Programming 2023 Workshops co-located with the 39th International Conference on Logic Programming (ICLP 2023), volume 3437 of CEUR Workshop Proceedings, pages 1--4. CEUR-WS.org, 2023. [ bib | .pdf ]
[3] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. MAP inference in probabilistic answer set programs. In Agostino Dovier, Angelo Montanari, and Andrea Orlandini, editors, AIxIA 2022 -- Advances in Artificial Intelligence, pages 413--426, Cham, 2023. Springer International Publishing. [ bib | DOI | http ]
[2] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Approximate inference in probabilistic answer set programming for statistical probabilities. In Agostino Dovier, Angelo Montanari, and Andrea Orlandini, editors, AIxIA 2022 -- Advances in Artificial Intelligence, pages 33--46, Cham, 2023. Springer International Publishing. [ bib | DOI | http ]
[1] Salvatore Greco, Alessandro Salatiello, Nicolò Fabbri, Fabrizio Riguzzi, Emanuele Locorotondo, Riccardo Spaggiari, Alfredo De Giorgi, and Angelina Passaro. Rapid assessment of COVID-19 mortality risk with GASS classifiers. Biomedicines, 11(3), 2023. [ bib | DOI | http ]

Activities

Awards

  • Alain Colmerauer 10-Year Test-of-Time Award at the 37th International Conference on Logic Programming (ICLP 2021)
  • Best Paper Award for “BUNDLE: A Reasoner for Probabilistic Ontologies” by Riccardo Zese, Fabrizio Riguzzi, Evelina Lamma and Elena Bellodi at the 7th International Conference on Web Reasoning and Rule Systems (RR-2013)
  • Highly Commended Paper Award for “Probabilistic declarative process mining”by Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma at the 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010)
  • Dr. Elena Bellodi, of which I was PhD co-supervisor, won
    • the Marco Cadoli prize for the best PhD thesis in Artificial Intelligence defended at an Italian university in 2013. The prize is assigned yearly by the Associazione Italiana per l’Intelligenza Artificiale
    • the prize for the best PhD thesis in Computational Logic assigned by the Gruppo Ricercatori e Utenti Logic Programming in 2015.
  • Dr. Riccardo Zese, of which I was PhD co-supervisor, won  a Honorable Mention for the EurAI Dissertation Award 2016 and held a 30 minutes talk on his thesis at IJCAI.
  • Dr. Giuseppe Cota,  of which I was PhD co-supervisor, won
    • the prize for the best PhD thesis in Computational Logic assigned by the Gruppo Ricercatori e Utenti Logic Programming in 2019.
    • a honorable mention for the Marco Cadoli prize in 2018 for the best PhD thesis in Artificial Intelligence defended at an Italian university

Tutorials

Teaching

Biographic Notes

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