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Elena Bellodi – Publications by Year

2024

[2] Damiano Azzolini, Elena Bellodi, Rafael Kiesel, and Fabrizio Riguzzi. Solving decision theory problems with probabilistic answer set programming. Theory and Practice of Logic Programming, 2024. [ bib | http | http ]
[1] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Learning the parameters of probabilistic answer set programs. In Stephen H. Muggleton and Alireza Tamaddoni-Nezhad, editors, Inductive Logic Programming - ILP 2022, volume 14363 of Lecture Notes in Computer Science, pages 1--14, Cham, 2024. Springer Nature Switzerland. [ bib | DOI | http ]

2023

[6] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Summary of statistical statements in probabilistic logic programming. volume 385, pages 384 -- 385, 2023. [ bib | DOI | http ]
[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] Riccardo Zese and Elena Bellodi. A web application for reasoning on probabilistic description logics knowledge bases. Software: Practice and Experience, In Press:1--22, 2023. [ bib | DOI | http ]
[1] Elena Bellodi, Davide Bertozzi, Alice Bizzarri, Michele Favalli, Michele Fraccaroli, and Riccardo Zese. Efficient resource-aware neural architecture search with a neuro-symbolic approach. pages 171--178, 2023. [ bib | DOI ]

2022

[7] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Abduction in (probabilistic) answer set programming. In Roberta Calegari, Giovanni Ciatto, and Andrea Omicini, editors, Proceedings of the 37th Italian Conference on Computational Logic (CILC2022), volume 3204 of CEUR Workshop Proceedings, pages 90--103, Aachen, Germany, 2022. Sun SITE Central Europe. [ bib | .pdf ]
[6] Damiano Azzolini, Elena Bellodi, and Fabrizio Riguzzi. Statistical statements in probabilistic logic programming. In Georg Gottlob, Daniela Inclezan, and Marco Maratea, editors, Logic Programming and Nonmonotonic Reasoning, pages 43--55, Cham, 2022. Springer International Publishing. [ bib | DOI | http | .pdf ]
[5] Damiano Azzolini, Elena Bellodi, Stefano Ferilli, Fabrizio Riguzzi, and Riccardo Zese. Abduction in probabilistic logic programs. In Yuliya Lierler, Jose F. Morales, Carmine Dodaro, Veronica Dahl, Martin Gebser, and Tuncay Tekle, editors, Proceedings of the 38th International Conference on Logic Programming (Technical Communications), Recently Published Research track, volume 364 of Electronic Proceedings in Theoretical Computer Science, pages 174--176, Waterloo, Australia, 2022. Open Publishing Association. [ bib | DOI | http ]
[4] Damiano Azzolini, Elena Bellodi, Stefano Ferilli, Fabrizio Riguzzi, and Riccardo Zese. Abduction with probabilistic logic programming under the distribution semantics. International Journal of Approximate Reasoning, 142:41--63, 2022. [ bib | DOI | http ]
[3] Damiano Azzolini, Fabrizio Riguzzi, Elena Bellodi, and Evelina Lamma. A probabilistic logic model of lightning network. In Witold Abramowicz, Sören Auer, and Milena Stróżyna, editors, Business Information Systems Workshops, Lecture Notes in Business Information Processing (LNBIP), pages 321--333, Cham, Switzerland, 2022. Springer International Publishing. [ bib | DOI | http | .pdf ]
[2] Riccardo Zese, Elena Bellodi, Michele Fraccaroli, Fabrizio Riguzzi, and Evelina Lamma. Neural networks and deep learning fundamentals. In Rino Micheloni and Cristian Zambelli, editors, Machine Learning and Non-volatile Memories, pages 23--42. Springer International Publishing, Cham, 2022. [ bib | DOI | http ]
[1] Alessandro Seravalli, Mariaelena Busani, Simone Venturi, Arianna Brutti, Carlo Petrovich, Angelo Frascella, Fabrizio Paolucci, Marco Di Felice, Michele Lombardi, Elena Bellodi, Riccardo Zese, Francesco Bertasi, Elia Balugani, Alket Cecaj, Rita Gamberini, Marco Mamei, and Marco Picone. Towards smart cities for tourism: the polis-eye project. In 2022 IEEE International Smart Cities Conference (ISC2), pages 1--7, 2022. [ bib | DOI ]

2021

[4] Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Marco Alberti, and Evelina Lamma. Probabilistic inductive constraint logic. Machine Learning, 110:723--754, 2021. [ bib | DOI | .pdf ]
[3] Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, and Fabrizio Riguzzi. Nonground abductive logic programming with probabilistic integrity constraints. Theory and Practice of Logic Programming, 21(5):557--574, © Cambridge University Press, 2021. [ bib | DOI | http | .pdf ]
[2] Elena Bellodi, Riccardo Zese, and Francesco Bertasi. Machine learning in a policy support system for smart tourism management. In Proceedings of the 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science - LOD, October 4 – 8, 2021 – Grasmere, Lake District, England – UK, volume In press of Lecture Notes in Computer Science, Heidelberg, Germany, 2021. © Springer, Springer Nature. [ bib ]
[1] Riccardo Zese, Elena Bellodi, Chiara Luciani, and Stefano Alvisi. Neural network techniques for detecting intra-domestic water leaks of different magnitude. IEEE Access, 9:126135 -- 126147, 2021. [ bib | DOI | http ]

2020

[5] Elena Bellodi, Alessandro Bertagnon, Marco Gavanelli, and Riccardo Zese. Improving the efficiency of euclidean TSP solving in constraint programming by predicting effective nocrossing constraints. In Matteo Baldoni and Stefania Bandini, editors, AIxIA 2020 - Advances in Artificial Intelligence - XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25-27, 2020, Revised Selected Papers, volume 12414 of Lecture Notes in Computer Science, pages 318--334. Springer, 2020. [ bib | DOI | http ]
[4] Elena Bellodi, Alessandro Bertagnon, Marco Gavanelli, and Riccardo Zese. Improving the efficiency of euclidean TSP solving in Constraint Programming by predicting effective nocrossing constraints. In Riccardo De Benedictis, Marco Maratea, Andrea Micheli, Enrico Scala, Ivan Serina, Alessandro Umbrico, and Mauro Vallati, editors, IPS-RCRA 2020, Italian Workshop on Planning and Scheduling and International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, volume 2745 of CEUR Workshop Proceedings, pages 1--15, Aachen, Germany, 2020. © by the authors, Sun SITE Central Europe. [ bib | .pdf ]
[3] 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 ]
[2] 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 ]
[1] 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 ]

2019

[2] 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 ]
[1] 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 ]

2018

[8] 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 ]
[7] 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 ]
[6] 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 ]
[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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, © IOS Press, 2018. [ bib | DOI | .pdf ]

2017

[6] 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 ]
[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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

[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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 ]

2015

[10] 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 ]
[9] 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 ]
[8] 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 ]
[7] 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 ]
[6] 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 ]
[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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

[5] 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 ]
[4] 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, 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 ]
[2] 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 ]
[1] 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

[5] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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 ]

2012

[7] 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 ]
[6] 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 ]
[5] 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 ]
[4] 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 ]
[3] 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 ]
[2] 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 ]
[1] 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 ]

2011

[4] 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] 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 ]
[2] 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 ]
[1] 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 ]

2010

[2] Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Probabilistic declarative process mining. In Yaxin Bi and Mary-Anne Williams, editors, Proceedings of the 4th International Conference on Knowledge Science, Engineering & Management (KSEM 2010), Belfast, UK, September 1-3, 2010, volume 6291 of Lecture Notes in Computer Science, pages 292--303, Heidelberg, Germany, 2010. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | .pdf | http ]
[1] Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Probabilistic logic-based process mining. In Proceedings of the 25th Italian Conference on Computational Logic (CILC2010), Rende, Italy, July 7-9, 2010., volume 598 of CEUR Workshop Proceedings, Aachen, Germany, 2010. © by the authors, Sun SITE Central Europe. [ bib | .pdf | .pdf ]

2009

[1] Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma. Mining probabilistic declarative process models. In Marco Gavanelli and Toni Mancini, editors, Session R.i.C.e.R.c.A: RCRA Incontri E Confronti of the 16th RCRA International Workshop on Experimental evaluation of algorithms for solving problems with combinatorial explosion (RCRA 2009) Reggio Emilia, Italy, 11-12 December 2009, 2009. [ bib | .pdf ]