[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 ]
[21] 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 ]
[22] 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 ]
[23] 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 ]
[24] 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 ]
[25] 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 ]
[26] 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 ]
[27] 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 ]
[28] 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 ]
[29] 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 ]
[30] 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 ]
[31] 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 ]
[32] 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 ]
[33] 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 ]
[34] 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 ]
[35] 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 ]

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