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2020 – today
- 2022
[j59]Damiano Azzolini
, Fabrizio Riguzzi:
Probabilistic Logic Models for the Lightning Network. Cryptogr. 6(2): 29 (2022)- [j58]Damiano Azzolini, Elena Bellodi, Stefano Ferilli, Fabrizio Riguzzi, Riccardo Zese:
Abduction with probabilistic logic programming under the distribution semantics. Int. J. Approx. Reason. 142: 41-63 (2022) - [j57]Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Symbolic DNN-Tuner. Mach. Learn. 111(2): 625-650 (2022) - 2021
- [j56]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
A semantics for Hybrid Probabilistic Logic programs with function symbols. Artif. Intell. 294: 103452 (2021) - [j55]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Marco Alberti, Evelina Lamma:
Probabilistic inductive constraint logic. Mach. Learn. 110(4): 723-754 (2021) - [j54]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma:
Learning hierarchical probabilistic logic programs. Mach. Learn. 110(7): 1637-1693 (2021) - [j53]Damiano Azzolini, Fabrizio Riguzzi:
Optimizing Probabilities in Probabilistic Logic Programs. Theory Pract. Log. Program. 21(5): 543-556 (2021) - [j52]Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi:
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints. Theory Pract. Log. Program. 21(5): 557-574 (2021) - [c89]Damiano Azzolini, Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma:
A Probabilistic Logic Model of Lightning Network. BIS (Workshops) 2021: 321-333 - [c88]Damiano Azzolini, Fabrizio Riguzzi:
Reducing Probabilistic Logic Programs. RuleML+RR (Supplement) 2021 - [c87]Damiano Azzolini, Fabrizio Riguzzi:
Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs. ICLP Technical Communications 2021: 14-26 - [i15]Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi:
Non-ground Abductive Logic Programming with Probabilistic Integrity Constraints. CoRR abs/2108.03033 (2021) - [i14]Damiano Azzolini, Fabrizio Riguzzi:
Optimizing Probabilities in Probabilistic Logic Programs. CoRR abs/2108.03095 (2021) - 2020
- [j51]Federico Chesani, Giuseppe Cota, Marco Gavanelli, Evelina Lamma, Paola Mello, Fabrizio Riguzzi:
Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling. Eng. Appl. Artif. Intell. 95: 103861 (2020) - [j50]Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Ken Satoh, Riccardo Zese:
Dischargeable Obligations in the 𝒮CIFF Framework. Fundam. Informaticae 176(3-4): 321-348 (2020) - [j49]Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese:
MAP Inference for Probabilistic Logic Programming. Theory Pract. Log. Program. 20(5): 641-655 (2020) - [c86]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Modeling Smart Contracts with Probabilistic Logic Programming. BIS (Workshops) 2020: 86-98 - [c85]Fabrizio Riguzzi:
Quantum Weighted Model Counting. ECAI 2020: 2640-2647 - [c84]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
An Analysis of Gibbs Sampling for Probabilistic Logic Programs. ICLP Workshops 2020 - [c83]Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. LOD (1) 2020: 477-488 - [p3]Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
A Framework for Reasoning on Probabilistic Description Logics. Applications and Practices in Ontology Design, Extraction, and Reasoning 2020: 127-144 - [e7]Francesco Ricca, Alessandra Russo, Sergio Greco, Nicola Leone, Alexander Artikis, Gerhard Friedrich, Paul Fodor, Angelika Kimmig, Francesca A. Lisi, Marco Maratea, Alessandra Mileo, Fabrizio Riguzzi:
Proceedings 36th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2020, (Technical Communications) UNICAL, Rende (CS), Italy, 18-24th September 2020. EPTCS 325, 2020 [contents] - [i13]Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. CoRR abs/2006.02105 (2020) - [i12]Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese:
MAP Inference for Probabilistic Logic Programming. CoRR abs/2008.01394 (2020) - [i11]Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
A Framework for Reasoning on Probabilistic Description Logics. CoRR abs/2010.01087 (2020)
2010 – 2019
- 2019
- [j48]Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, Sriraam Natarajan:
Editorial: Statistical Relational Artificial Intelligence. Frontiers Robotics AI 6: 68 (2019) - [j47]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming. Inf. 10(11): 335 (2019) - [j46]Nicolas Lachiche, Christel Vrain, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese:
Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. Mach. Learn. 108(7): 1057-1059 (2019) - [j45]Arnaud Nguembang Fadja, Fabrizio Riguzzi:
Lifted discriminative learning of probabilistic logic programs. Mach. Learn. 108(7): 1111-1135 (2019) - [j44]Jan Wielemaker, Fabrizio Riguzzi, Robert A. Kowalski, Torbjörn Lager, Fariba Sadri, Miguel Calejo:
Using SWISH to Realize Interactive Web-based Tutorials for Logic-based Languages. Theory Pract. Log. Program. 19(2): 229-261 (2019) - [j43]Riccardo Zese, Giuseppe Cota, Evelina Lamma, Elena Bellodi, Fabrizio Riguzzi:
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach. Theory Pract. Log. Program. 19(3): 449-476 (2019) - [c82]Damiano Azzolini, Fabrizio Riguzzi, Franco Masotti, Evelina Lamma:
A Comparison of MCMC Sampling for Probabilistic Logic Programming. AI*IA 2019: 18-29 - [c81]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Analyzing Transaction Fees with Probabilistic Logic Programming. BIS (Workshops) 2019: 243-254 - [c80]Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese, Evelina Lamma:
KRaider: a Crawler for Linked Data. CILC 2019: 202-216 - [i10]Fabrizio Riguzzi:
Quantum Weighted Model Counting. CoRR abs/1910.13530 (2019) - 2018
- [j42]Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Giuseppe Cota, Evelina Lamma:
Tableau reasoning for description logics and its extension to probabilities. Ann. Math. Artif. Intell. 82(1-3): 101-130 (2018) - [j41]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
Reasoning on Datalog± Ontologies with Abductive Logic Programming. Fundam. Informaticae 159(1-2): 65-93 (2018) - [c79]Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi:
Vision Inspection with Neural Networks. RiCeRcA@AI*IA 2018 - [c78]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma:
Expectation Maximization in Deep Probabilistic Logic Programming. AI*IA 2018: 293-306 - [c77]Federico Chesani, Giuseppe Cota, Evelina Lamma, Paola Mello, Fabrizio Riguzzi:
A Decision Support System for Food Recycling based on Constraint Logic Programming and Ontological Reasoning. CILC 2018: 117-131 - [c76]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma:
Learning the Parameters of Deep Probabilistic Logic Programs. PLP@ILP 2018: 9-14 - [c75]Fabrizio Riguzzi, Jan Wielemaker, Riccardo Zese:
Probabilistic Inference in SWI-Prolog. PLP@ILP 2018: 15-27 - [c74]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, Riccardo Zese:
Modeling Bitcoin Protocols with Probabilistic Logic Programming. PLP@ILP 2018: 49-61 - [c73]Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese, Elena Bellodi, Evelina Lamma:
A Modular Inference System for Probabilistic Description Logics. SUM 2018: 78-92 - [p2]Fabrizio Riguzzi, Theresa Swift:
A survey of probabilistic logic programming. Declarative Logic Programming 2018: 185-228 - [e6]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese:
Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (ILP 2018), Ferrara, Italy, September 2-4, 2018. CEUR Workshop Proceedings 2206, CEUR-WS.org 2018 [contents] - [e5]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese:
Inductive Logic Programming - 28th International Conference, ILP 2018, Ferrara, Italy, September 2-4, 2018, Proceedings. Lecture Notes in Computer Science 11105, Springer 2018, ISBN 978-3-319-99959-3 [contents] - [i9]Jan Wielemaker, Fabrizio Riguzzi, Bob Kowalski, Torbjörn Lager, Fariba Sadri, Miguel Calejo:
Using SWISH to realise interactive web based tutorials for logic based languages. CoRR abs/1808.08042 (2018) - [i8]Riccardo Zese, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi:
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach. CoRR abs/1809.06180 (2018) - 2017
- [j40]Marco Alberti, Elena Bellodi, Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese:
cplint on SWISH: Probabilistic Logical Inference with a Web Browser. Intelligenza Artificiale 11(1): 47-64 (2017) - [j39]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, Evelina Lamma:
A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics. Int. J. Approx. Reason. 80: 313-333 (2017) - [j38]Fabrizio Riguzzi, Giuseppe Cota, Elena Bellodi, Riccardo Zese:
Causal inference in cplint. Int. J. Approx. Reason. 91: 216-232 (2017) - [j37]Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota:
A web system for reasoning with probabilistic OWL. Softw. Pract. Exp. 47(1): 125-142 (2017) - [c72]Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Iterated Fixpoint Well-Founded Semantics for Hybrid Knowledge Bases. ICTCS/CILC 2017: 248-261 - [c71]Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi:
Deep Probabilistic Logic Programming. PLP@ILP 2017: 3-14 - [c70]Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases. PLP@ILP 2017: 40-50 - [c69]Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Dischargeable Obligations in Abductive Logic Programming. RuleML+RR 2017: 7-21 - [c68]Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Inductive Logic Programming on the Web. RuleML+RR (Supplement) 2017 - 2016
- [j36]Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma:
Statistical relational learning for workflow mining. Intell. Data Anal. 20(3): 515-541 (2016) - [j35]Fabrizio Riguzzi:
The distribution semantics for normal programs with function symbols. Int. J. Approx. Reason. 77: 1-19 (2016) - [j34]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, Giuseppe Cota:
Probabilistic logic programming on the web. Softw. Pract. Exp. 46(10): 1381-1396 (2016) - [c67]Fabrizio Riguzzi, Evelina Lamma, Marco Alberti, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
Probabilistic Logic Programming for Natural Language Processing. URANIA@AI*IA 2016: 30-37 - [c66]Marco Alberti, Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Logical Inference on the Web. AI*IA 2016: 351-363 - [c65]Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics. AI*IA 2016: 364-376 - [c64]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, Evelina Lamma:
Scaling Structure Learning of Probabilistic Logic Programs by MapReduce. ECAI 2016: 1602-1603 - [c63]Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota:
Probabilistic Inductive Logic Programming on the Web. EKAW (Satellite Events) 2016: 172-175 - [c62]Marco Alberti, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Constraint Logic Theories. PLP@ILP 2016: 15-28 - 2015
- [j33]Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi:
Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn. 100(1): 127-156 (2015) - [j32]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Probabilistic Description Logics under the distribution semantics. Semantic Web 6(5): 477-501 (2015) - [j31]Elena Bellodi, Fabrizio Riguzzi:
Structure learning of probabilistic logic programs by searching the clause space. Theory Pract. Log. Program. 15(2): 169-212 (2015) - [c61]Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma:
Tableau Reasoners for Probabilistic Ontologies Exploiting Logic Programming Techniques. DC@AI*IA 2015: 1-6 - [c60]Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
Learning Probabilistic Ontologies with Distributed Parameter Learning. DC@AI*IA 2015: 7-12 - [c59]Arnaud Nguembang Fadja, Fabrizio Riguzzi:
Probabilistic Logic Programming in Action. BIRS-IMLKE 2015: 89-116 - [c58]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
Abductive logic programming for Datalog +/- ontologies. CILC 2015: 128-143 - [c57]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
An Abductive Framework for Datalog± Ontologies. ICLP (Technical Communications) 2015 - [c56]Fabrizio Riguzzi:
The Distribution Semantics is Well-Defined for All Normal Programs. PLP@ICLP 2015: 69-84 - [c55]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Reasoning with Probabilistic Ontologies. IJCAI 2015: 4310-4316 - [c54]Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
Logic Programming Techniques for Reasoning with Probabilistic Ontologies. JOWO@IJCAI 2015 - [c53]Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma:
Distributed Parameter Learning for Probabilistic Ontologies. ILP 2015: 30-45 - [c52]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
Abductive Logic Programming for Normative Reasoning and Ontologies. JSAI-isAI Workshops 2015: 187-203 - [e4]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi:
AI*IA 2015, Advances in Artificial Intelligence - XIVth International Conference of the Italian Association for Artificial Intelligence, Ferrara, Italy, September 23-25, 2015, Proceedings. Lecture Notes in Computer Science 9336, Springer 2015, ISBN 978-3-319-24308-5 [contents] - [e3]Fabrizio Riguzzi, Joost Vennekens:
Proceedings of the 2nd International Workshop on Probabilistic Logic Programming co-located with 31st International Conference on Logic Programming (ICLP 2015), Cork, Ireland, August 31st, 2015. CEUR Workshop Proceedings 1413, CEUR-WS.org 2015 [contents] - [i7]Jan Wielemaker, Torbjörn Lager, Fabrizio Riguzzi:
SWISH: SWI-Prolog for Sharing. CoRR abs/1511.00915 (2015) - [i6]Fabrizio Riguzzi:
Introduzione all'Intelligenza Artificiale. CoRR abs/1511.04352 (2015) - 2014
- [j30]Fabrizio Riguzzi:
Speeding Up Inference for Probabilistic Logic Programs. Comput. J. 57(3): 347-363 (2014) - [j29]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese:
A History of Probabilistic Inductive Logic Programming. Frontiers Robotics AI 1: 6 (2014) - [j28]Fabrizio Riguzzi, Filip Zelezný:
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012). Mach. Learn. 94(1): 1-2 (2014) - [j27]Fabrizio Riguzzi, Terrance Swift:
Terminating Evaluation of Logic Programs with Finite Three-Valued Models. ACM Trans. Comput. Log. 15(4): 32:1-32:38 (2014) - [j26]Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Vítor Santos Costa, Riccardo Zese:
Lifted Variable Elimination for Probabilistic Logic Programming. Theory Pract. Log. Program. 14(4-5): 681-695 (2014) - [c51]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, Giuseppe Cota:
Learning Probabilistic Description Logics. URSW (LNCS Vol.) 2014: 63-78 - [c50]Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Fabiano Aguiari:
Semantics and Inference for Probabilistic Description Logics. URSW (LNCS Vol.) 2014: 79-99 - [i5]Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Vítor Santos Costa, Riccardo Zese:
Lifted Variable Elimination for Probabilistic Logic Programming. CoRR abs/1405.3218 (2014) - 2013
- [j25]Fabrizio Riguzzi:
MCINTYRE: A Monte Carlo System for Probabilistic Logic Programming. Fundam. Informaticae 124(4): 521-541 (2013) - [j24]Matteo Baldoni, Paola Mello, Fabrizio Riguzzi:
Guest-editorial: 25 years of AI*IA. Intelligenza Artificiale 7(2): 69 (2013) - [j23]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, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [j22]Elena Bellodi, Fabrizio Riguzzi:
Expectation maximization over binary decision diagrams for probabilistic logic programs. Intell. Data Anal. 17(2): 343-363 (2013) - [j21]Fabrizio Riguzzi, Terrance Swift:
Well-definedness and efficient inference for probabilistic logic programming under the distribution semantics. Theory Pract. Log. Program. 13(2): 279-302 (2013) - [c49]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Computing Instantiated Explanations in OWL DL. AI*IA 2013: 397-408 - [c48]Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
A Description Logics Tableau Reasoner in Prolog. CILC 2013: 33-47 - [c47]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli:
Constraint and Optimization techniques for supporting Policy Making. CILC 2013: 195-209 - [c46]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Learning the Parameters of Probabilistic Description Logics. ILP (Late Breaking Papers) 2013: 46-51 - [c45]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
BUNDLE: A Reasoner for Probabilistic Ontologies. RR 2013: 183-197 - [c44]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Parameter Learning for Probabilistic Ontologies. RR 2013: 265-270 - [e2]Fabrizio Riguzzi, Filip Zelezný:
Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, Dubrovnik, Croatia, September 17-19, 2012. CEUR Workshop Proceedings 975, CEUR-WS.org 2013 [contents] - [e1]Fabrizio Riguzzi, Filip Zelezný:
Inductive Logic Programming - 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7842, Springer 2013, ISBN 978-3-642-38811-8 [contents] - [i4]Elena Bellodi, Fabrizio Riguzzi:
Structure Learning of Probabilistic Logic Programs by Searching the Clause Space. CoRR abs/1309.2080 (2013) - 2012
- [j20]Elena Bellodi, Fabrizio Riguzzi:
Experimentation of an expectation maximization algorithm for probabilistic logic programs. Intelligenza Artificiale 6(1): 3-18 (2012) - [j19]Fabrizio Riguzzi, Nicola Di Mauro:
Applying the information bottleneck to statistical relational learning. Mach. Learn. 86(1): 89-114 (2012) - [c43]Ludovico Buffon, Evelina Lamma, Fabrizio Riguzzi, Davide Formenti:
Un sistema di Vision Inspection basato su reti neurali. PAI 2012: 1-6 - [c42]Elena Bellodi, Fabrizio Riguzzi:
Parameter and Structure Learning Algorithms for Statistical Relational Learning. DC@AI*IA 2012: 5-9 - [c41]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Semantics and Inference for Probabilistic Ontologies. PAI 2012: 41-46 - [c40]Fabrizio Riguzzi:
Optimizing Inference for Probabilistic Logic Programs Exploiting Independence and Exclusiveness. CILC 2012: 206-220 - [c39]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma:
Probabilistic Ontologies in Datalog+/-. CILC 2012: 221-235 - [c38]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma:
Probabilistic Datalog+/- under the Distribution Semantics. Description Logics 2012 - [c37]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli:
Constraint and Optimization techniques for supporting Policy Making. ISAIM 2012 - [c36]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Epistemic and Statistical Probabilistic Ontologies. URSW 2012: 3-14 - 2011
- [j18]Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari:
Learning specifications of interaction protocols and business processes and proving their properties. Intelligenza Artificiale 5(1): 71-75 (2011) - [j17]Fabrizio Riguzzi, Terrance Swift:
The PITA system: Tabling and answer subsumption for reasoning under uncertainty. Theory Pract. Log. Program. 11(4-5): 433-449 (2011) - [c35]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Davide Sottara, Alessandro Cangini, Paolo Cagnoli:
An Application of Fuzzy Logic to Strategic Environmental Assessment. AI*IA 2011: 324-335 - [c34]Fabrizio Riguzzi:
MCINTYRE: A Monte Carlo Algorithm for Probabilistic Logic Programming. CILC 2011: 25-39 - [c33]