Fabrizio Riguzzi – Publications by Year

2018

[1] Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Vision inspection with neural networks. In Marco Maratea and Mauro Vallati, editors, R.i.C.e.R.c.A: RCRA Incontri E Confronti, Proceedings of the RiCeRcA Workshop co-located with the 17th International Conference of the Italian Association for Artificial Intelligence (Ai*iA 2018), volume 2272 of CEUR Workshop Proceedings, pages 1--10, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[2] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Deep learning for probabilistic logic programming. In Marco Rospocher, Luciano Serafini, and Sara Tonelli, editors, AI*IA 2018 Doctoral Consortium, Proceedings of the AI*IA Doctoral Consortium (DC), volume 2249 of CEUR Workshop Proceedings, pages 43--47, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[3] Federico Chesani, Giuseppe Cota, Evelina Lamma, Paola Mello, and Fabrizio Riguzzi. A decision support system for food recycling based on constraint logic programming and ontological reasoning. In Paolo Felli and Marco Montali, editors, Proceedings of the 33rd Italian Conference on Computational Logic, volume 2214 of CEUR Workshop Proceedings, pages 117--131, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[4] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Expectation maximization in deep probabilistic logic programming. In Chiara Ghidini, Bernardo Magnini, and Andrea Passerini, editors, Proceedings of the 17th Conference of the Italian Association for Artificial Intelligence (AI*IA2018), Trento, Italy, 20-23 November, 2018, volume 11298 of Lecture Notes in Computer Science, pages 293--306, Heidelberg, Germany, 2018. © Springer, Springer. [ bib | DOI | .pdf ]
[5] Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese, Elena Bellodi, and Evelina Lamma. A modular inference system for probabilistic description logics. In Davide Ciucci, Gabriella Pasi, and Barbara Vantaggi, editors, Scalable Uncertainty Management 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings, volume 11142 of Lecture Notes in Computer Science, pages 78--92, Heidelberg, Germany, 2018. © Springer, Springer. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-00461-3_6. [ bib | DOI | .pdf ]
[6] 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, 2018. [ bib | .pdf ]
[7] Riccardo Zese, Elena Bellodi, Giuseppe Cota, Fabrizio Riguzzi, and Evelina Lamma. Probabilistic DL reasoning with pinpointing formulas: A Prolog-based approach. Theory and Practice of Logic Programming, 2018. [ bib | .pdf ]
[8] Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese. Preface. In Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese, editors, Inductive Logic Programming 28th International Conference, ILP 2018, Ferrara, Italy, September 2-4, 2018, Proceedings, volume 11105 of Lecture Notes in Artificial Intelligence, pages V--VI, Heidelberg, Germany, 2018. © Springer, Springer. [ bib | DOI | .pdf ]
[9] Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese, editors. Inductive Logic Programming 28th International Conference, ILP 2018, Ferrara, Italy, September 2-4, 2018, Proceedings, volume 11105 of Lecture Notes in Artificial Intelligence, Heidelberg, Germany, 2018. © Springer, Springer. [ bib | DOI | http ]
[10] Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese, editors. Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), volume 2206 of CEUR Workshop Proceedings, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | http ]
[11] Arnaud Nguembang Fadja, Fabrizio Riguzzi, and Evelina Lamma. Learning the parameters of deep probabilistic logic programs. In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings, pages 9--14, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[12] Fabrizio Riguzzi, Jan Wielemaker, and Riccardo Zese. Probabilistic inference in swi-prolog. In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings, pages 15--27, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[13] Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, and Riccardo Zese. Modeling bitcoin protocols with probabilistic logic programming. In Elena Bellodi and Tom Schrijvers, editors, Probabilistic Logic Programming (PLP 2018), volume 2219 of CEUR Workshop Proceedings, pages 49--61, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[14] Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese. Preface. In Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese, editors, Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), volume 2206 of CEUR Workshop Proceedings, pages 1--5, Aachen, Germany, 2018. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[15] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Lifted discriminative learning of probabilistic logic programs. Machine Learning, © Springer, 2018. [ bib | DOI | .pdf ]
[16] Fabrizio Riguzzi. Foundations of Probabilistic Logic Programming. River Publishers, Gistrup, Denmark, 2018. [ bib | http ]
[17] Fabrizio Riguzzi. Review of Jiroušek, Radim , Radim; Shenoy, Prakash P. A new definition of entropy of belief functions in the Dempster-Shafer theory. Internat. J. Approx. Reason. 92 (2018), 49--65. Mathematical Reviews, © American Mathematical Society, May 2018. [ bib | http ]
[18] Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Giuseppe Cota, and Evelina Lamma. Tableau reasoning for description logics and its extension to probabilities. Annals of Mathematics and Artificial Intelligence, 82(1):101--130, © Springer, March 2018. [ bib | DOI | .pdf | http ]
[19] Fabrizio Riguzzi and Theresa Swift. Probabilistic logic programming under the distribution semantics. In Michael Kifer and Yanhong A. Liu, editors, Declarative Logic Programming: Theory, Systems, and Applications, pages 185--228. Association for Computing Machinery and Morgan & Claypool, New York, NY, USA, 2018. [ bib | DOI | .pdf ]
[20] Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, and Giuseppe Cota. Reasoning on datalog+- ontologies with abductive logic programming. Fundamenta Informaticae, 159:65--93, 2018. [ bib | DOI | .pdf ]

2017

[1] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Probabilistic logic programming in action. In Andreas Holzinger, Randy Goebel, Massimo Ferri, and Vasile Palade, editors, Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers, volume 10344 of Lecture Notes in Computer Science, pages 89--116. Springer, Heidelberg, Germany, © Springer, 2017. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-69775-8_5. [ bib | DOI | .pdf ]
[2] Fabrizio Riguzzi, Giuseppe Cota, Elena Bellodi, and Riccardo Zese. Causal inference in cplint. International Journal of Approximate Reasoning, 91(Supplement C):216--232, © Elsevier, December 2017. [ bib | DOI | .pdf ]
[3] Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese. Iterated fixpoint well-founded semantics for hybrid knowledge bases. In Dario Della Monica, Aniello Murano, Sasha Rubin, and Luigi Sauro, editors, Joint Proceedings of the 18th Italian Conference on Theoretical Computer Science and the 32nd Italian Conference on Computational Logic, volume 1949 of CEUR Workshop Proceedings, pages 248--261, Aachen, Germany, 2017. Sun SITE Central Europe. [ bib | .pdf ]
[4] Arnaud Nguembang Fadja and Fabrizio Riguzzi. Lifted discriminative learning of probabilistic logic programs. In Nicolas Lachiche and Christel Vrain, editors, 27th International Conference on Inductive Logic Programming, ILP 2017, 2017. [ bib | .pdf ]
[5] Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese. A distribution semantics for non-DL-safe probabilistic hybrid knowledge bases. In Christian Theil Have and Riccardo Zese, editors, 4th International Workshop on Probabilistic logic programming, PLP 2017, volume 1916 of CEUR Workshop Proceedings, pages 40--50, Aachen, Germany, 2017. Sun SITE Central Europe. [ bib | .pdf ]
[6] Arnaud Nguembang Fadja, Evelina Lamma, and Fabrizio Riguzzi. Deep probabilistic logic programming. In Christian Theil Have and Riccardo Zese, editors, Proceedings of the 4th International Workshop on Probabilistic logic programming, (PLP 2017), volume 1916 of CEUR Workshop Proceedings, pages 3--14, Aachen, Germany, 2017. Sun SITE Central Europe. [ bib | .pdf ]
[7] Cristian Zambelli, Giuseppe Cancelliere, Fabrizio Riguzzi, Evelina Lamma, Piero Olivo, Alessia Marelli, and Rino Micheloni. Characterization of TLC 3D-NAND flash endurance through machine learning for LDPC code rate optimization. In 2017 IEEE International Memory Workshop (IMW), pages 1--4. IEEE, May 2017. [ bib | DOI ]
[8] Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, and Zese Riccardo. Dischargeable obligations in abductive logic programming. In Stefania Costantini, Enrico Franconi, William Van Woensel, Roman Kontchakov, Fariba Sadri, and Dumitru Roman, editors, Rules and Reasoning: International Joint Conference, RuleML+RR 2017, London, UK, July 12--15, 2017, Proceedings, volume 10364 of Lecture Notes in Computer Science, pages 7--21, Cham, 2017. © Springer International Publishing AG, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-61252-2_2. [ bib | DOI | .pdf ]
[9] Fabrizio Riguzzi, Riccardo Zese, and Giuseppe Cota. Probabilistic inductive logic programming on the web. In 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016; Bologna; Italy; 19 November 2016 through 23 November 2016, volume 10180 of Lecture Notes in Computer Science, pages 172--175. Springer, Cham, © Springer International Publishing AG, 2017. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-58694-6_25. [ bib | DOI | .pdf ]
[10] Fabrizio Riguzzi, Evelina Lamma, Marco Alberti, Elena Bellodi, Riccardo Zese, and Giuseppe Cota. Probabilistic logic programming for natural language processing. In Federico Chesani, Paola Mello, and Michela Milano, editors, URANIA 2016, Deep Understanding and Reasoning: A Challenge for Next-generation Intelligent Agents, Proceedings of the AI*IA Workshop on Deep Understanding and Reasoning: A Challenge for Next-generation Intelligent Agents 2016 co-located with 15th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2016), volume 1802 of CEUR Workshop Proceedings, pages 30--37, Aachen, Germany, 2017. © by the authors, Sun SITE Central Europe. [ bib | http | .pdf ]
[11] Marco Alberti, Elena Bellodi, Giuseppe Cota, Fabrizio Riguzzi, and Riccardo Zese. cplint on SWISH: Probabilistic logical inference with a web browser. Intelligenza Artificiale, 11(1):47--64, © IOS Press, 2017. [ bib | DOI | .pdf ]
[12] Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese, and Giuseppe Cota. A web system for reasoning with probabilistic OWL. Software: Practice and Experience, 47(1):125--142, © Wiley, January 2017. [ bib | DOI | .pdf ]
[13] Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, and Evelina Lamma. A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics. International Journal of Approximate Reasoning, 80(Supplement C):313--333, © Elsevier, January 2017. [ bib | DOI | .pdf ]
[14] Fabrizio Riguzzi. Review of Kötzing, Timo; Palenta, Raphaela A map of update constraints in inductive inference. Theoret. Comput. Sci. 650 (2016), 4--24. . Mathematical Reviews, © American Mathematical Society, March 2017. [ bib | http ]
[15] Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Zese Riccardo, and Giuseppe Cota. Abductive logic programming for normative reasoning and ontologies. In Mihoko Otake, Setsuya Kurahashi, Yuiko Ota, Ken Satoh, and Daisuke Bekki, editors, New Frontiers in Artificial Intelligence: JSAI-isAI 2015 Workshops, LENLS, JURISIN, AAA, HAT-MASH, TSDAA, ASD-HR, and SKL, Kanagawa, Japan, November 16-18, 2015, Revised Selected Papers, volume 10091 of Lecture Notes in Computer Science, pages 187--203, Cham, 2017. © Springer International Publishing AG, Springer International Publishing. [ bib | DOI ]

2016

[1] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, and Giuseppe Cota. Probabilistic logic programming on the web. Software: Practice and Experience, 46(10):1381--1396, © Wiley, October 2016. [ bib | DOI | .pdf ]
[2] Fabrizio Riguzzi. Deductive and inductive probabilistic programming (invited talk). In Arjen Hommersom and Samer Abdallah, editors, Proceedings of the 3nd International Workshop on Probabilistic Logic Programming (PLP), volume 1661 of CEUR Workshop Proceedings, pages 1--1, Aachen, Germany, 2016. © by the authors, Sun SITE Central Europe. [ bib | http | .pdf ]
[3] Marco Alberti, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese. Probabilistic constraint logic theories. In Arjen Hommersom and Samer Abdallah, editors, Proceedings of the 3nd International Workshop on Probabilistic Logic Programming (PLP), volume 1661 of CEUR Workshop Proceedings, pages 15--28, Aachen, Germany, 2016. © by the authors, Sun SITE Central Europe. [ bib | http | .pdf ]
[4] Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, and Evelina Lamma. Scaling structure learning of probabilistic logic programs by mapreduce. In Maria Fox and Gal Kaminka, editors, 22nd European Conference on Artificial Intelligence ECAI 2016, volume 285 of Frontiers in Artificial Intelligence and Applications, pages 1602--1603. IOS Press, © CC-BY-NC 4.0, 2016. [ bib | DOI | http ]
[5] Marco Alberti, Giuseppe Cota, Fabrizio Riguzzi, and Riccardo Zese. Probabilistic logical inference on the web. In Giovanni Adorni, Stefano Cagnoni, Marco Gori, and Marco Maratea, editors, Proceedings of the 15th Conference of the Italian Association for Artificial Intelligence (AI*IA2016), Genova, Italy, 28 November - 1 December 2016, volume 10037 of Lecture Notes in Computer Science, pages 351--363, Heidelberg, Germany, 2016. © Springer International Publishing AG, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49130-1_26. [ bib | DOI | .pdf ]
[6] Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese. Probabilistic hybrid knowledge bases under the distribution semantics. In Giovanni Adorni, Stefano Cagnoni, Marco Gori, and Marco Maratea, editors, Proceedings of the 15th Conference of the Italian Association for Artificial Intelligence (AI*IA2016), Genova, Italy, 28 November - 1 December 2016, volume 10037 of Lecture Notes in Computer Science, pages 364--376, Heidelberg, Germany, 2016. © Springer International Publishing AG, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-49130-1_27. [ bib | DOI | .pdf ]
[7] Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Distributed parameter learning for probabilistic ontologies. In Katsumi Inoue, Hayato Ohwada, and Akihiro Yamamoto, editors, Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto, Japan, August 20-22, 2015, Revised Selected Papers, volume 9575 of Lecture Notes in Computer Science, pages 30--45, Heidelberg, Germany, 2016. © Springer International Publishing Switzerland, Springer International Publishing. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-40566-7_3. [ bib | DOI | .pdf ]
[8] Fabrizio Riguzzi. The distribution semantics for normal programs with function symbols. International Journal of Approximate Reasoning, 77(Supplement C):1 -- 19, © Elsevier, October 2016. [ bib | DOI | .pdf ]
[9] Fabrizio Riguzzi and Giuseppe Cota. Probabilistic logic programming tutorial. The Association for Logic Programming Newsletter, 29(1), © by the authors, March/April 2016. [ bib | http ]
[10] Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Statistical relational learning for workflow mining. Intelligent Data Analysis, 20(3):515--541, © IOS Press, April 2016. [ bib | DOI | .pdf ]
[11] Fabrizio Riguzzi. Review of Echenim, M.; Peltier, N. A superposition calculus for abductive reasoning. J. Automat. Reason. 57, no. 2, 97--134, 2016. . Mathematical Reviews, © American Mathematical Society, December 2016. [ bib | http ]
[12] Fabrizio Riguzzi. Review of Kaminski, Benjamin Lucien; Katoen, Joost-Pieter; Matheja, Christoph; Olmedo, Federico Weakest precondition reasoning for expected run-times of probabilistic programs. Programming languages and systems, 364--389, Lecture Notes in Comput. Sci., 9632, Springer, Berlin, 2016. Mathematical Reviews, © American Mathematical Society, October 2016. [ bib | http ]
[13] Fabrizio Riguzzi. Review of Drabent, Wlodzimierz On definite program answers and least Herbrand models. Theory Pract. Log. Program. 16 (2016), no. 4, 498--508. Mathematical Reviews, © American Mathematical Society, October 2016. [ bib | http ]
[14] Fabrizio Riguzzi. Review of Jansen, Nils; Kaminski, Benjamin Lucien; Katoen, Joost-Pieter; Olmedo, Federico; Gretz, Friedrich; McIver, Annabelle Conditioning in probabilistic programming. The 31st Conference on the Mathematical Foundations of Programming Semantics (MFPS XXXI), 199--216, Electron. Notes Theor. Comput. Sci., 319, Elsevier Sci. B. V., Amsterdam, 2015. . Mathematical Reviews, © American Mathematical Society, July 2016. [ bib | http ]
[15] Fabrizio Riguzzi. Review of Alviano, Mario; Faber, Wolfgang Supportedly stable answer sets for logic programs with generalized atoms. (English summary) Web reasoning and rule systems, 30-44, Lecture Notes in Comput. Sci., 9209, Springer, 2015. . Mathematical Reviews, © American Mathematical Society, April 2016. [ bib | http ]
[16] Fabrizio Riguzzi. Review of Chowdhury, Md. Solimul; Liu, Fangfang; Chen, Wu; Karimi, Arash; You, Jia-Huai Polynomial approximation to well-founded semantics for logic programs with generalized atoms: case studies. Logic-based program synthesis and transformation, 279-296, Lecture Notes in Comput. Sci., 8981, Springer, 2015. Mathematical Reviews, © American Mathematical Society, January 2016. [ bib | http ]
[17] Fabrizio Riguzzi. Review of Janhunen, Tomi; Niemelä, Ilkka Cumulativity tailored for nonmonotonic reasoning. Advances in knowledge representation, logic programming, and abstract argumentation, 96--111, Lecture Notes in Comput. Sci., 9060, Springer, 2015. . Mathematical Reviews, © American Mathematical Society, January 2016. [ bib | http ]

2015

[1] Fabrizio Riguzzi. Introduzione all'intelligenza artificiale. CoRR, abs/1511.04352, © CC-BY, 2015. Published as Fabrizio Riguzzi, Introduzione all'Intelligenza Artificiale, Terre di Confine, 2(1), January 2006, License CC-BY. [ bib | http ]
[2] Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio Riguzzi. Learning probabilistic ontologies with distributed parameter learning. In Elena Bellodi and Alessio Bonfietti, editors, Proceedings of the Doctoral Consortium (DC) co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), volume 1485 of CEUR Workshop Proceedings, pages 7--12, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[3] Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Tableau reasoners for probabilistic ontologies exploiting logic programming techniques. In Elena Bellodi and Alessio Bonfietti, editors, Proceedings of the Doctoral Consortium (DC) co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), volume 1485 of CEUR Workshop Proceedings, pages 1--6, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[4] Fabrizio Riguzzi. Review of De Raedt, Luc; Kimmig, Angelika Probabilistic (logic) programming concepts. Mach. Learn. 100 (2015), no. 1, 5--47. Mathematical Reviews, © American Mathematical Society, November 2015. [ bib | http ]
[5] Fabrizio Riguzzi. Review of Wakaki, Toshiko Preference-based argumentation built from prioritized logic programming. J. Logic Comput. 25 (2015), no. 2, 251-301. . Mathematical Reviews, © American Mathematical Society, September 2015. [ bib | http ]
[6] Fabrizio Riguzzi. Review of Cinicioglu, Esma Nur Decision making with consonant belief functions: discrepancy resulting with the probability transformation method used. Yugosl. J. Oper. Res. 24 (2014), no. 3, 359-370. Mathematical Reviews, © American Mathematical Society, August 2015. [ bib | http ]
[7] Marco Gavanelli, Evelina Lamma, and Fabrizio Riguzzi, editors. AI*IA 2015, Advances in Artificial Intelligence, XIVth International Conference of the Italian Association for Artificial Intelligence, Ferrara, Italy, September 23-25, 2015, Proceedings, volume 9336 of Lecture Notes in Computer Science, Heidelberg, Germany, 2015. © Springer International Publishing Switzerland, Springer International Publishing. [ bib | DOI | http ]
[8] Fabrizio Riguzzi. The distribution semantics is well-defined for all normal programs. In Fabrizio Riguzzi and Joost Vennekens, editors, Proceedings of the 2nd International Workshop on Probabilistic Logic Programming (PLP), volume 1413 of CEUR Workshop Proceedings, pages 69--84, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib | http | .pdf ]
[9] Fabrizio Riguzzi and Joost Vennekens, editors. Proceedings of the 2nd International Workshop on Probabilistic Logic Programming (PLP), volume 1413 of CEUR Workshop Proceedings, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib | http ]
[10] Jan Wielemaker, Torbjörn Lager, and Fabrizio Riguzzi. SWISH: SWI-Prolog for sharing. In Stefan Ellmauthaler and Claudia Schulz, editors, International Workshop on User-Oriented Logic Programming (IULP 2015), © by the authors, 2015. [ bib | http ]
[11] Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio Riguzzi. Structure learning with distributed parameter learning for probabilistic ontologies. In Jaakko Hollmen and Panagiotis Papapetrou, editors, Doctoral Consortium of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pages 75--84, © by the authors, 2015. [ bib | http | http ]
[12] Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, and Giuseppe Cota. An abductive framework for Datalog+- ontologies. In Marina De Vos, Thomas Eiter, Yuliya Lierler, and Francesca Toni, editors, Technical Communications of the 31st Int'l. Conference on Logic Programming (ICLP 2015), number 1433 in CEUR Workshop Proceedings, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[13] Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, and Giuseppe Cota. Abductive logic programming for Datalog+- ontologies. In Davide Ancona, Marco Maratea, and Viviana Mascardi, editors, Proceedings of the 30th Italian Conference on Computational Logic (CILC2015), Genova, Italy, 1-3 July 2015, number 1459 in CEUR Workshop Proceedings, pages 128--143, Aachen, Germany, 2015. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[14] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Reasoning with probabilistic ontologies. In Qiang Yang and Michael Wooldridge, editors, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 25-31 July 2015, pages 4310--4316, Palo Alto, California USA, 2015. © International Joint Conferences on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence. [ bib | .pdf ]
[15] Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio Riguzzi. Logic programming techniques for reasoning with probabilistic ontologies. In Odile Papini, Salem Benferhat, Laurent Garcia, Marie-Laure Mugnier, Eduardo Fermé, Thomas Meyer, Renata Wassermann, Torsten Hahmann, Ken Baclawski, Adila Krisnadhi, Pavel Klinov, Stefano Borgo, Oliver Kutz, and Daniele Porello, editors, Joint Ontology Workshops 2015, JOWO 2015 - Episode 1: The Argentine Winter of Ontology; Buenos Aires; Argentina; 25 July 2015 through 27 July 2015, volume 1517 of CEUR Workshop Proceedings, Aachen, Germany, 2015. © CC0 https://creativecommons.org/publicdomain/zero/1.0/, Sun SITE Central Europe. [ bib | .pdf ]
[16] Nicola Di Mauro, Elena Bellodi, and Fabrizio Riguzzi. Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Machine Learning, 100(1):127--156, © Springer International Publishing, July 2015. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[17] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Probabilistic description logics under the distribution semantics. Semantic Web - Interoperability, Usability, Applicability, 6(5):447--501, 2015. [ bib | DOI | .pdf ]
[18] Elena Bellodi and Fabrizio Riguzzi. Structure learning of probabilistic logic programs by searching the clause space. Theory and Practice of Logic Programming, 15(2):169--212, © Cambridge University Press, 2015. [ bib | DOI | http | http ]

2014

[1] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, and Giuseppe Cota. Learning probabilistic description logics. In Fernando Bobillo, Rommel N. Carvalho, Paulo C.G. Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web III, volume 8816 of Lecture Notes in Computer Science, pages 63--78. Springer International Publishing, © Springer International Publishing, 2014. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[2] Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, and Fabiano Aguiari. Semantics and inference for probabilistic description logics. In Fernando Bobillo, Rommel N. Carvalho, Paulo C.G. Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, and Michael Pool, editors, Uncertainty Reasoning for the Semantic Web III, volume 8816 of Lecture Notes in Computer Science, pages 79--99. Springer International Publishing, © Springer International Publishing, 2014. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[3] Fabrizio Riguzzi and Terrance Swift. The PITA system for logical-probabilistic inference. In Stephen H. Muggleton and Hiroaki Watanabe, editors, Latest Advances in Inductive Logic Programming, Inductive Logic Programming, 21th International Conference, ILP 2011, Late Breaking papers, London, UK, 31 July-3 August, 2011, pages 79--86, Longon, UK, 2014. © World Scientific, World Scientific. [ bib | DOI | .pdf ]
[4] Fabrizio Riguzzi, Elena Bellodi, and Riccardo Zese. A history of probabilistic inductive logic programming. Frontiers in Robotics and AI, 1(6):1--5, © by the authors, 2014. [ bib | DOI | http ]
[5] Fabrizio Riguzzi and Terrance Swift. Terminating evaluation of logic programs with finite three-valued models. ACM Transactions on Computational Logic, 15(4):32:1--32:38, © ACM, September 2014. [ bib | DOI | http | .pdf ]
[6] Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Vitor Santos Costa, and Riccardo Zese. Lifted variable elimination for probabilistic logic programming. Theory and Practice of Logic Programming, 14(Special issue 4-5 - ICLP 2014):681--695, © Cambridge University Press, 2014. [ bib | DOI | http ]
[7] Fabrizio Riguzzi. Speeding up inference for probabilistic logic programs. The Computer Journal, 57(3):347--363, © Oxford University Press, 2014. [ bib | DOI | .pdf ]
[8] Fabrizio Riguzzi and Filip Železný. Guest editors' introduction: Special issue on Inductive Logic Programming (ILP 2012). Machine Learning, 94(1-2):1--2, 2014. [ bib | DOI | http ]
[9] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Learning the parameters of probabilistic description logics. In Gerson Zaverucha, Vitor Santos Costa, and Aline Marins Paes, editors, Late Breaking papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th to 30th, 2013, volume 1187 of CEUR Workshop Proceedings, pages 46--51, Aachen, Germany, 2014. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]

2013

[1] Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, and Giovanni Semeraro. Italian machine learning and data mining research: The last years. Intelligenza Artificiale, 7(2):77--89, © IOS Press, 2013. [ bib | DOI ]
[2] Matteo Baldoni, Paola Mello, and Fabrizio Riguzzi. Guest-editorial: 25 years of AI*IA. Intelligenza Artificiale, 7(2):69--69, © IOS Press, 2013. [ bib | DOI ]
[3] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Computing instantiated explanations in OWL DL. In Matteo Baldoni, Cristina Baroglio, and Guido Boella, editors, Proceedings of the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA2013), Turin, Italy, 4-6 December 2013, volume 8249 of Lecture Notes in Artificial Intelligence, pages 397--408, Heidelberg, Germany, 2013. © Springer, Springer. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[4] Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio Riguzzi. A description logics tableau reasoner in Prolog. In Domenico Cantone and Marianna Nicolosi Asmundo, editors, Proceedings of the 28th Italian Conference on Computational Logic (CILC2013), Catania, Italy, 25-27 September 2013, number 1068 in CEUR Workshop Proceedings, pages 33--47, Aachen, Germany, 2013. © by the authors, Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[5] Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, and Riccardo Zese. BUNDLE: A reasoner for probabilistic ontologies. In Wolfgang Faber and Domenico Lembo, editors, 7th International Conference on Web Reasoning and Rule Systems (RR 2013), Mannheim, Germany, July 27-29 2013. Proceedings, volume 7994 of Lecture Notes in Computer Science, pages 183--197, Heidelberg, Germany, 2013. © Springer, Springer. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[6] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Parameter learning for probabilistic ontologies. In Wolfgang Faber and Domenico Lembo, editors, 7th International Conference on Web Reasoning and Rule Systems (RR 2013), Mannheim, Germany, July 27-29 2013. Proceedings, volume 7994 of Lecture Notes in Computer Science, pages 265--270, Heidelberg, Germany, 2013. © Springer, Springer. The original publication is available at http://link.springer.com. [ bib | DOI | .pdf ]
[7] Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, and Paolo Cagnoli. Constraint and optimization techniques for supporting policy making. In Ting Yu, Nitesh Chawla, and Simeon Simoff, editors, Computational Intelligent Data Analysis for Sustainable Development, Data Mining and Knowledge Discovery Series, chapter 12, pages 361--382. Chapman & Hall/CRC, Abingdon, UK, 2013. [ bib | DOI | http | .pdf ]
[8] Fabrizio Riguzzi and Filip Železný, editors. Inductive Logic Programming, 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers, volume 7842 of Lecture Notes in Artificial Intellingence, Heidelberg, Germany, 2013. © Springer, Springer. [ bib | http ]
[9] Fabrizio Riguzzi and Filip Železný, editors. Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming (ILP), volume 975 of CEUR Workshop Proceedings, Aachen, Germany, 2013. © by the authors, Sun SITE Central Europe. [ bib | http ]
[10] Fabrizio Riguzzi. MCINTYRE: A Monte Carlo system for probabilistic logic programming. Fundamenta Informaticae, 124(4):521--541, © IOS Press, 2013. [ bib | DOI | .pdf ]
[11] Elena Bellodi and Fabrizio Riguzzi. Expectation Maximization over binary decision diagrams for probabilistic logic programs. Intelligent Data Analysis, 17(2):343--363, © IOS Press, 2013. [ bib | DOI | .pdf ]
[12] Fabrizio Riguzzi and Terrance Swift. Well-definedness and efficient inference for probabilistic logic programming under the distribution semantics. Theory and Practice of Logic Programming, 13(Special Issue 02 - 25th Annual GULP Conference):279--302, © Cambridge University Press, March 2013. [ bib | DOI | http ]

2012

[1] Fabrizio Riguzzi and Filip Železný. Preface. In Fabrizio Riguzzi and Filip Železný, editors, Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming (ILP), volume 975 of CEUR Workshop Proceedings, pages 3--4, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[2] Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese. Epistemic and statistical probabilistic ontologies. In Fernando Bobillo, Rommel Carvalho, Paulo C. G. da Costa, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, and Michael Pool, editors, Proceedings of the 8th International Workshop on Uncertain Reasoning for the Semantic Web (URSW2012), Boston, USA, 11 November 2012, number 900 in CEUR Workshop Proceedings, pages 3--14, Aachen, Germany, 2012. Sun SITE Central Europe. [ bib | .pdf ]
[3] Elena Bellodi and Fabrizio Riguzzi. Parameter and structure learning algorithms for statistical relational learning. In Paolo Liberatore, Michele Lombardi, and Floriano Scioscia, editors, Doctoral Consortium of the 12th AI*IA Symposium on Artificial Intelligence, Proceedings of the Doctoral Consortium of the 12th Symposium of the Italian Association for Artificial Intelligence Rome, Italy, June 15, 2012, volume 926 of CEUR Workshop Proceedings, pages 5--9, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[4] Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, and Riccardo Zese. Semantics and inference for probabilistic ontologies. In Matteo Baldoni, Federico Chesani, Bernardo Magnini, Paola Mello, and Marco Montali, editors, Popularize Artificial Intelligence. Proceedings of the AI*IA Workshop and Prize for Celebrating 100th Anniversary of Alan Turing's Birth (PAI 2012), Rome, Italy, June 15, 2012, volume 860 of CEUR Workshop Proceedings, pages 41--46, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[5] Ludovico Buffon, Evelina Lamma, Fabrizio Riguzzi, and Davide Formenti. Un sistema di vision inspection basato su reti neurali. In Matteo Baldoni, Federico Chesani, Bernardo Magnini, Paola Mello, and Marco Montai, editors, Popularize Artificial Intelligence. Proceedings of the AI*IA Workshop and Prize for Celebrating 100th Anniversary of Alan Turing's Birth (PAI 2012), Rome, Italy, June 15, 2012, volume 860 of CEUR Workshop Proceedings, pages 1--6, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[6] Fabrizio Riguzzi, Elena Bellodi, and Evelina Lamma. Probabilistic Datalog+/- under the distribution semantics. In Yevgeny Kazakov, Domenico Lembo, and Frank Wolter, editors, Proceedings of the 25th International Workshop on Description Logics (DL2012), Roma, Italy, 7-10 June 2012, volume 846 of CEUR Workshop Proceedings, pages 519--529, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[7] Fabrizio Riguzzi, Elena Bellodi, and Evelina Lamma. Probabilistic ontologies in Datalog+/-. In Proceedings of the 27th Italian Conference on Computational Logic (CILC2012), Roma, Italy, 6-7 June 2012, volume 857 of CEUR Workshop Proceedings, pages 221--235, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[8] Fabrizio Riguzzi. Optimizing inference for probabilistic logic programs exploiting independence and exclusiveness. In Proceedings of the 27th Italian Conference on Computational Logic (CILC2012), Roma, Italy, 6-7 June 2012, volume 857 of CEUR Workshop Proceedings, pages 206--220, Aachen, Germany, 2012. © by the authors, Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[9] Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, and Paolo Cagnoli. Constraint and optimization techniques for supporting policy making. In International Symposium on Artificial Intelligence and Mathematics (ISAIM 2012), Fort Lauderdale, Florida, USA, January 9-11, 2012, 2012. [ bib | .pdf ]
[10] Elena Bellodi and Fabrizio Riguzzi. Learning the structure of probabilistic logic programs. In Stephen H. Muggleton, Alireza Tamaddoni-Nezhad, and Francesca A. Lisi, editors, Inductive Logic Programming 21st International Conference, ILP 2011, London, UK, July 31 - August 3, 2011. Revised Papers, volume 7207 of LNCS, pages 61--75, Heidelberg, Germany, 2012. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | .pdf ]
[11] Elena Bellodi and Fabrizio Riguzzi. Experimentation of an expectation maximization algorithm for probabilistic logic programs. Intelligenza Artificiale, 8(1):3--18, © IOS Press, 2012. [ bib | DOI | .pdf ]
[12] Fabrizio Riguzzi and Nicola Di Mauro. Applying the information bottleneck to statistical relational learning. Machine Learning, 86(1):89--114, © Springer, 2012. The original publication is available at http://www.springerlink.com. [ bib | DOI | .pdf ]

2011

[1] Fabrizio Riguzzi, Arianna Fabbri, and Elena Zuffi. Sistemi informativi. Collana Progetto Leonardo. Esculapio, Bologna, Italy, November 2011. [ bib ]
[2] Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, and Simone Albani. A distribution semantics for probabilistic ontologies. In Fernando Bobillo, Rommel Carvalho, Paulo C. G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, and Michael Pool, editors, Proceedings ot the 7th International Workshop on Uncertainty Reasoning for the Semantic Web, Bonn, Germany, 23 October, 2011, volume 778 of CEUR Workshop Proceedings, pages 75--86, Aachen, Germany, 2011. Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[3] Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Davide Sottara, Alessandro Cangini, and Paolo Cagnoli. An application of fuzzy logic to strategic environmental assessment. In Roberto Pirrone and Filippo Sorbello, editors, Proceedings of the 12th Congress of the Italian Association for Artificial Intelligence, Palermo, 15-17 September 2011, volume 6934 of Lecture Notes in Artificial Intelligence, pages 324--335, Heidelberg, Germany, 2011. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | http | .pdf ]
[4] Elena Bellodi and Fabrizio Riguzzi. An Expectation Maximization algorithm for probabilistic logic programs. In Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, and Giuseppe Manco, editors, Proceedings of the Workshop on Mining Complex Patterns (MCP2011), 17 September 2011, pages 26--37, Palermo, Italy, © by the authors, September 2011. [ bib | .pdf ]
[5] Elena Bellodi and Fabrizio Riguzzi. EM over binary decision diagrams for probabilistic logic programs. In Proceedings of the 26th Italian Conference on Computational Logic (CILC2011), Pescara, Italy, 31 August 31-2 September, 2011, volume 810 of CEUR Workshop Proceedings, pages 229--243, Aachen, Germany, 2011. © by the authors, Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[6] Fabrizio Riguzzi. MCINTYRE: A Monte Carlo algorithm for probabilistic logic programming. In Fabio Fioravanti, editor, Proceedings of the 26th Italian Conference on Computational Logic (CILC2011), Pescara, Italy, 31 August-2 September, 2011, volume 810 of CEUR Workshop Proceedings, pages 25--39, Aachen, Germany, 2011. © by the author, Sun SITE Central Europe. [ bib | .pdf | .pdf ]
[7] Stefano Bragaglia and Fabrizio Riguzzi. Approximate inference for logic programs with annotated disjunctions. In Paolo Frasconi and Francesca Lisi, editors, Inductive Logic Programming 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers, volume 6489 of LNCS, pages 30--37, Heidelberg, Germany, 2011. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | .pdf | http ]
[8] Fabrizio Riguzzi and Terrance Swift. The PITA system: Tabling and answer subsumption for reasoning under uncertainty. Theory and Practice of Logic Programming, 27th International Conference on Logic Programming (ICLP'11) Special Issue, Lexington, Kentucky 6-10 July 2011, 11(4--5):433--449, © Cambridge University Press, 2011. [ bib | DOI | http | .pdf ]
[9] Elena Bellodi and Fabrizio Riguzzi. EM over binary decision diagrams for probabilistic logic programs. Technical Report CS-2011-01, Dipartimento di Ingegneria, Università di Ferrara, Italy, 2011. [ bib | .pdf ]
[10] Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, and Sergio Storari. Learning specifications of interaction protocols and business processes and proving their properties. Intelligenza artificiale, 5(1):71--75, February 2011. [ bib | DOI | .pdf ]