Fabrizio Riguzzi

Fabrizio Riguzzi's photo
Associate Professor
Dipartimento di Matematica e Informatica, Università di Ferrara,

Office 130
Blocco A, Polo Scientifico Tecnologico
University of Ferrara
Via Saragat 1, 44122, Ferrara, Italia
Tel: +390532974792 Fax: +390532974836
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

The computer science group of the University of Ferrara ranked first in Italy according to the 2011-2014 research assessment (VQR)
see column “Pos. grad. compl.” in Table 3.4 on page 45 of the final report

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

[15] Fabrizio Riguzzi. Quantum weighted model counting. In Giuseppe De Giacomo, editor, European Conference on Artificial Intelligence (ECAI 2020), 2020. [ bib | .pdf ]
[14] 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 ]
[13] 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 ]
[12] Fabrizio Riguzzi Michele Fraccaroli, Evelina Lamma. Automatic setting of dnn hyper-parameters by mixing bayesian optimization and tuning rules. In The Sixth International Conference on Machine Learning, Optimization, and Data Science 2020. To be published., Lecture Notes in Computer Science. Springer, 2020. [ bib ]
[11] Damiano Azzolini, Fabrizio Riguzzi, and Evelina Lamma. Analyzing transaction fees with probabilistic logic programming. In Witold Abramowicz and Rafael Corchuelo, editors, Business Information Systems Workshops BIS 2019, volume 373 of Lecture Notes in Business Information Processing, pages 243--254, Cham, 2019. © Springer, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-36691-9_21. [ bib | DOI | .pdf ]
[10] Fabrizio Riguzzi. Quantum weighted model counting. arXiv, abs/1910.13530, 2019. [ bib | http ]
[9] Damiano Azzolini, Fabrizio Riguzzi, and Evelina Lamma. Studying transaction fees in the bitcoin blockchain with probabilistic logic programming. Information, 10(11):335, © CCBY, 2019. [ bib | DOI | http ]
[8] Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, and Franco Masotti. A comparison of MCMC sampling for probabilistic logic programming. In Mario Alviano, Gianluigi Greco, and Francesco Scarcello, editors, Proceedings of the 18th Conference of the Italian Association for Artificial Intelligence (AI*IA2019), Rende, Italy 19-22 November 2019, volume 11946 of Lecture Notes in Computer Science, pages 18--29, Heidelberg, Germany, 2019. © Springer, Springer. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-35166-3_2. [ bib | DOI | .pdf ]
[7] Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, and Sriraam Natarajan. Editorial: Statistical relational artificial intelligence. Frontiers in Robotics and AI, 6:68, © by the authors, 2019. [ bib | DOI | http ]
[6] Giuseppe Cota, Fabrizio Riguzzi, Evelina Lamma, and Riccardo Zese. KRaider: a crawler for linked data. In Alberto Casagrande and Eugenio Omodeo, editors, Proceedings of the 34th Italian Conference on Computational Logic, volume 2396 of CEUR Workshop Proceedings, pages 202--216, Aachen, Germany, 2019. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[5] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Lifted discriminative learning of probabilistic logic programs. Machine Learning, 108(7):1111--1135, © Springer, 2019. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[4] Nicolas Lachiche, Christel Vrain, Fabrizio Riguzzi, Bellodi Elena, and Zese Riccardo. Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. Machine Learning, pages 1--3, 2019. [ bib | DOI ]
[3] Riccardo Zese, Giuseppe Cota, Evelina Lamma, Elena Bellodi, and Fabrizio Riguzzi. Probabilistic DL reasoning with pinpointing formulas: A prolog-based approach. Theory and Practice of Logic Programming, 19(3):449--476, © Cambridge University Press, 2019. [ bib | DOI | .pdf ]
[2] Fabrizio Riguzzi. Review of Avanzini, Martin; Dal Lago, Ugo. On sharing, memoization, and polynomial time. Inform. and Comput. 261 (2018), part 1, 3--22. Mathematical Reviews, © American Mathematical Society, January 2019. [ bib | http ]
[1] Jan Wielemaker, Fabrizio Riguzzi, Bob Kowalski, Torbjörn Lager, Fariba Sadri, and Miguel Calejo. Using SWISH to realise interactive web based tutorials for logic based languages. Theory and Practice of Logic Programming, 19(2):229--261, © Cambridge University Press, 2019. [ 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.
  • 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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