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

 

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

[18] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning hierarchical probabilistic logic programs. Machine Learning, 110(7):1637--1693, © Springer, 2021. [ bib | DOI ]
[17] Damiano Azzolini, Fabrizio Riguzzi, and Evelina Lamma. A semantics for hybrid probabilistic logic programs with function symbols. Artificial Intelligence, 294:103452, © Elsevier, 2021. The final publication is available at Elsevier via https://doi.org/10.1016/j.artint.2021.103452. [ bib | DOI | .pdf ]
[16] Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, and Fabrizio Riguzzi. Structured methodology for clustering gas turbine transients by means of multi-variate time series. Journal of Engineering for Gas Turbines and Power, 143(3):031014--1 (13 pages), 2021. [ bib | DOI ]
[15] Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Marco Alberti, and Evelina Lamma. Probabilistic inductive constraint logic. Machine Learning, 110:723--754, 2021. [ bib | DOI | .pdf ]
[14] Michele Fraccaroli, Evelina Lamma, and Fabrizio Riguzzi. Automatic setting of DNN hyper-parameters by mixing Bayesian Optimization and tuning rules. In Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, and Renato Umeton, editors, Machine Learning, Optimization, and Data Science, 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part I, volume 12565 of Lecture Notes in Computer Science, pages 477--488, Cham, 2020. © Springer, Springer International Publishing. The final publication is available at Springer via https://link.springer.com/chapter/10.1007/978-3-030-64583-0_43. [ bib | DOI | .pdf ]
[13] Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Ken Satoh, and Riccardo Zese. Dischargeable obligations in the SCIFF framework. Fundamenta Informaticae, 176(3-4):321--348, 2020. [ bib | DOI ]
[12] Federico Chesani, Giuseppe Cota, Marco Gavanelli, Evelina Lamma, Paola Mello, and Fabrizio Riguzzi. Declarative and mathematical programming approaches to decision support systems for food recycling. Engineering Applications of Artificial Intelligence, 95:103861, 2020. [ bib | DOI ]
[11] Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giusppe Fabio Ceschini, Giovanni. Bechini, Giuseppe Cota, and Fabrizio Riguzzi. Structured methodology for clustering gas turbine transients by means of multi-variate time series. In Proc. ASME Turbo Expo 2020, volume Volume 9: Oil and Gas Applications; Organic Rankine Cycle Power Systems; Steam Turbine of Turbo Expo: Power for Land, Sea, and Air, pages 1--16. ASME, 2020. V009T21A005. [ bib | DOI ]
[10] Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio Riguzzi. A framework for reasoning on probabilistic description logics. In Giuseppe Cota, Marilena Daquino, and Gian Luca Pozzato, editors, Applications and Practices in Ontology Design, Extraction, and Reasoning, volume 49 of Studies on the Semantic Web, pages 127--144. IOS Press, © Akademische Verlagsgesellschaft AKA GmbH, Berlin, 2020. [ bib | DOI ]
[9] Fabrizio Riguzzi. Quantum weighted model counting. In Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, and Jérôme Lang, editors, 24th European Conference on Artificial Intelligence (ECAI 2020), pages 2640--2647, Amsterdam, Berlin, Washington DC, 2020. © CC BY-NC 4.0, IOS Press. [ bib | DOI | http | .pdf ]
[8] Fabrizio Riguzzi. Review of Kahl, Patrick Thor; Leclerc, Anthony P.; Tran, Son Cao A parallel memory-efficient epistemic logic program solver: harder, better, faster. Ann. Math. Artif. Intell. 86 (2019), no. 1-3, 61–85. Mathematical Reviews, © American Mathematical Society, January 2020. [ bib | http ]
[7] Fabrizio Riguzzi. Review of Costantini, Stefania. About epistemic negation and world views in epistemic logic programs. Theory Pract. Log. Program. 19 (2019), no. 5-6, 790--807. Mathematical Reviews, © American Mathematical Society, May 2020. [ bib | http ]
[6] Fabrizio Riguzzi. Review of Arieli, Ofer; Borg, AnneMarie; Heyninck, Jesse A review of the relations between logical argumentation and reasoning with maximal consistency. Ann. Math. Artif. Intell. 87 (2019), no. 3, 187--226. Mathematical Reviews, © American Mathematical Society, 2020. [ bib | http ]
[5] Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, and Riccardo Zese. MAP inference for probabilistic logic programming. Theory and Practice of Logic Programming, 20(5):641–655, © Cambridge University Press, 2020. [ bib | DOI | http | .pdf ]
[4] Damiano Azzolini, Fabrizio Riguzzi, and Evelina Lamma. An analysis of Gibbs sampling for probabilistic logic programs. In Carmine Dodaro, George Aristidis Elder, Wolfgang Faber, Jorge Fandinno, Martin Gebser, Markus Hecher, Emily LeBlanc, Michael Morak, and Jessica Zangari, editors, Workshop on Probabilistic Logic Programming (PLP 2020), volume 2678 of CEUR Workshop Proceedings, pages 1--13, Aachen, Germany, 2020. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[3] Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca A. Lisi, Marco Maratea, Alessandra Mileo, and Fabrizio Riguzzi, editors. Proceedings 36th International Conference on Logic Programming (Technical Communications), number 325 in Electronic Proceedings in Theoretical Computer Science, 2020. [ bib | DOI | http ]
[2] Damiano Azzolini, Elena Bellodi, Alessandro Brancaleoni, Fabrizio Riguzzi, and Evelina Lamma. Modeling bitcoin lightning network by logic programming. In Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca Lisi, Marco Maratea, Alessandra Mileo, and Fabrizio Riguzzi, editors, Proceedings of the 36th International Conference on Logic Programming (Technical Communications), pages 258--260, Waterloo, Australia, 2020. © by the authors, Open Publishing Association. [ bib | DOI | http | http ]
[1] Damiano Azzolini, Fabrizio Riguzzi, and Evelina Lamma. Modeling smart contracts with probabilistic logic programming. In Witold Abramowicz and Gary Klein, editors, Business Information Systems Workshops, volume 394 of Lecture Notes in Business Information Processing, pages 86--98, Cham, 2020. © Springer, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-61146-0_7. [ bib | DOI | .pdf ]

Activities

Awards

  • 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
  • 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)

Tutorials

Teaching

Biographic Notes

Hobby: trekking.

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