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ORCIDFabrizio Riguzzi
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- affiliation: University of Ferrara, Italy
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2020 – today
- 2024
[j64]Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Integration between constrained optimization and deep networks: a survey. Frontiers Artif. Intell. 7 (2024)- [j63]Fabrizio Riguzzi:
Quantum algorithms for weighted constrained sampling and weighted model counting. Quantum Mach. Intell. 6(2): 73 (2024) - [c102]Damiano Azzolini, Matteo Bonato, Elisabetta Gentili, Fabrizio Riguzzi:
Logic Programming for Knowledge Graph Completion. CILC 2024 - [c101]Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian:
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. ICCCN 2024: 1-9 - [i23]Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian:
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. CoRR abs/2406.00938 (2024) - [i22]Fabrizio Riguzzi:
Quantum Algorithms for Weighted Constrained Sampling and Weighted Model Counting. CoRR abs/2407.12816 (2024) - [i21]Damiano Azzolini, Fabrizio Riguzzi:
Fast Inference for Probabilistic Answer Set Programs via the Residual Program. CoRR abs/2408.07524 (2024) - [i20]Damiano Azzolini, Elisabetta Gentili, Fabrizio Riguzzi:
Symbolic Parameter Learning in Probabilistic Answer Set Programming. CoRR abs/2408.08732 (2024) - [i19]Damiano Azzolini, Elena Bellodi, Rafael Kiesel, Fabrizio Riguzzi:
Solving Decision Theory Problems with Probabilistic Answer Set Programming. CoRR abs/2408.11371 (2024) - [i18]Damiano Azzolini, Fabrizio Riguzzi:
Probabilistic Answer Set Programming with Discrete and Continuous Random Variables. CoRR abs/2409.20274 (2024) - 2023
- [j62]Damiano Azzolini
, Fabrizio Riguzzi:
Lifted inference for statistical statements in probabilistic answer set programming. Int. J. Approx. Reason. 163: 109040 (2023) - [j61]Tom Schrijvers, Birthe van den Berg, Fabrizio Riguzzi:
Automatic Differentiation in Prolog. Theory Pract. Log. Program. 23(4): 900-917 (2023) - [c100]Damiano Azzolini, Fabrizio Riguzzi:
Inference in Probabilistic Answer Set Programming Under the Credal Semantics. AI*IA 2023: 367-380 - [c99]Damiano Azzolini, Elisabetta Gentili, Fabrizio Riguzzi:
Link Prediction in Knowledge Graphs with Probabilistic Logic Programming: Work in Progress. ICLP Workshops 2023 - [c98]Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi:
Regularization in Probabilistic Inductive Logic Programming. ILP 2023: 16-29 - [i17]Tom Schrijvers, Birthe van den Berg, Fabrizio Riguzzi:
Automatic Differentiation in Prolog. CoRR abs/2305.07878 (2023) - [i16]Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi:
Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases. CoRR abs/2306.09138 (2023) - 2022
- [j60]Damiano Azzolini, Fabrizio Riguzzi:
Probabilistic Logic Models for the Lightning Network. Cryptogr. 6(2): 29 (2022) - [j59]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) - [j58]Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Symbolic DNN-Tuner. Mach. Learn. 111(2): 625-650 (2022) - [j57]Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi:
Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters. SoftwareX 17: 100957 (2022) - [c97]Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi:
Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities. AI*IA 2022: 33-46 - [c96]Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi:
MAP Inference in Probabilistic Answer Set Programs. AI*IA 2022: 413-426 - [c95]Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi:
Abduction in (Probabilistic) Answer Set Programming. CILC 2022: 90-103 - [c94]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Semantics for Hybrid Probabilistic Logic Programs with Function Symbols: Technical Summary. ICLP Workshops 2022 - [c93]Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi:
Learning the Parameters of Probabilistic Answer Set Programs. ILP 2022: 1-14 - [c92]Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi:
Statistical Statements in Probabilistic Logic Programming. LPNMR 2022: 43-55 - [c91]Marco Alberti, Riccardo Zese, Fabrizio Riguzzi, Evelina Lamma:
An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols. ICLP Technical Communications / Doctoral Consortium 2022: 65-78 - 2021
- [j56]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
A semantics for Hybrid Probabilistic Logic programs with function symbols. Artif. Intell. 294: 103452 (2021) - [j55]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Giorgio Bertorelle, Emiliano Trucchi:
Identification of natural selection in genomic data with deep convolutional neural network. BioData Min. 14(1) (2021) - [j54]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Marco Alberti, Evelina Lamma:
Probabilistic inductive constraint logic. Mach. Learn. 110(4): 723-754 (2021) - [j53]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma:
Learning hierarchical probabilistic logic programs. Mach. Learn. 110(7): 1637-1693 (2021) - [j52]Damiano Azzolini, Fabrizio Riguzzi:
Optimizing Probabilities in Probabilistic Logic Programs. Theory Pract. Log. Program. 21(5): 543-556 (2021) - [j51]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) - [c90]Damiano Azzolini, Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma:
A Probabilistic Logic Model of Lightning Network. BIS (Workshops) 2021: 321-333 - [c89]Damiano Azzolini, Fabrizio Riguzzi:
Reducing Probabilistic Logic Programs. RuleML+RR (Supplement) 2021 - [c88]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
- [j50]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) - [j49]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) - [j48]Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese:
MAP Inference for Probabilistic Logic Programming. Theory Pract. Log. Program. 20(5): 641-655 (2020) - [c87]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Modeling Smart Contracts with Probabilistic Logic Programming. BIS (Workshops) 2020: 86-98 - [c86]Fabrizio Riguzzi:
Quantum Weighted Model Counting. ECAI 2020: 2640-2647 - [c85]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
An Analysis of Gibbs Sampling for Probabilistic Logic Programs. ICLP Workshops 2020 - [c84]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
- [j47]Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, Sriraam Natarajan:
Editorial: Statistical Relational Artificial Intelligence. Frontiers Robotics AI 6: 68 (2019) - [j46]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming. Inf. 10(11): 335 (2019) - [j45]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) - [j44]Arnaud Nguembang Fadja, Fabrizio Riguzzi:
Lifted discriminative learning of probabilistic logic programs. Mach. Learn. 108(7): 1111-1135 (2019) - [j43]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) - [j42]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) - [c83]Damiano Azzolini, Fabrizio Riguzzi, Franco Masotti, Evelina Lamma:
A Comparison of MCMC Sampling for Probabilistic Logic Programming. AI*IA 2019: 18-29 - [c82]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma:
Analyzing Transaction Fees with Probabilistic Logic Programming. BIS (Workshops) 2019: 243-254 - [c81]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
- [j41]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) - [j40]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) - [c80]Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi:
Vision Inspection with Neural Networks. RiCeRcA@AI*IA 2018 - [c79]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma:
Expectation Maximization in Deep Probabilistic Logic Programming. AI*IA 2018: 293-306 - [c78]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 - [c77]Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma:
Learning the Parameters of Deep Probabilistic Logic Programs. PLP@ILP 2018: 9-14 - [c76]Fabrizio Riguzzi, Jan Wielemaker, Riccardo Zese:
Probabilistic Inference in SWI-Prolog. PLP@ILP 2018: 15-27 - [c75]Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, Riccardo Zese:
Modeling Bitcoin Protocols with Probabilistic Logic Programming. PLP@ILP 2018: 49-61 - [c74]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
- [j39]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) - [j38]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) - [j37]Fabrizio Riguzzi, Giuseppe Cota, Elena Bellodi, Riccardo Zese:
Causal inference in cplint. Int. J. Approx. Reason. 91: 216-232 (2017) - [j36]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) - [c73]Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Iterated Fixpoint Well-Founded Semantics for Hybrid Knowledge Bases. ICTCS/CILC 2017: 248-261 - [c72]Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi:
Deep Probabilistic Logic Programming. PLP@ILP 2017: 3-14 - [c71]Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases. PLP@ILP 2017: 40-50 - [c70]Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Dischargeable Obligations in Abductive Logic Programming. RuleML+RR 2017: 7-21 - [c69]Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Inductive Logic Programming on the Web. RuleML+RR (Supplement) 2017 - 2016
- [j35]Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma:
Statistical relational learning for workflow mining. Intell. Data Anal. 20(3): 515-541 (2016) - [j34]Fabrizio Riguzzi:
The distribution semantics for normal programs with function symbols. Int. J. Approx. Reason. 77: 1-19 (2016) - [j33]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, Giuseppe Cota:
Probabilistic logic programming on the web. Softw. Pract. Exp. 46(10): 1381-1396 (2016) - [c68]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 - [c67]Marco Alberti, Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Logical Inference on the Web. AI*IA 2016: 351-363 - [c66]Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics. AI*IA 2016: 364-376 - [c65]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, Evelina Lamma:
Scaling Structure Learning of Probabilistic Logic Programs by MapReduce. ECAI 2016: 1602-1603 - [c64]Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota:
Probabilistic Inductive Logic Programming on the Web. EKAW (Satellite Events) 2016: 172-175 - [c63]Marco Alberti, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese:
Probabilistic Constraint Logic Theories. PLP@ILP 2016: 15-28 - 2015
- [j32]Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi:
Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn. 100(1): 127-156 (2015) - [j31]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Probabilistic Description Logics under the distribution semantics. Semantic Web 6(5): 477-501 (2015) - [j30]Elena Bellodi, Fabrizio Riguzzi:
Structure learning of probabilistic logic programs by searching the clause space. Theory Pract. Log. Program. 15(2): 169-212 (2015) - [c62]Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma:
Tableau Reasoners for Probabilistic Ontologies Exploiting Logic Programming Techniques. DC@AI*IA 2015: 1-6 - [c61]Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
Learning Probabilistic Ontologies with Distributed Parameter Learning. DC@AI*IA 2015: 7-12 - [c60]Arnaud Nguembang Fadja, Fabrizio Riguzzi:
Probabilistic Logic Programming in Action. BIRS-IMLKE 2015: 89-116 - [c59]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
Abductive logic programming for Datalog +/- ontologies. CILC 2015: 128-143 - [c58]Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota:
An Abductive Framework for Datalog± Ontologies. ICLP (Technical Communications) 2015 - [c57]Fabrizio Riguzzi:
The Distribution Semantics is Well-Defined for All Normal Programs. PLP@ICLP 2015: 69-84 - [c56]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese:
Reasoning with Probabilistic Ontologies. IJCAI 2015: 4310-4316 - [c55]Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi:
Logic Programming Techniques for Reasoning with Probabilistic Ontologies. JOWO@IJCAI 2015 - [c54]Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma:
Distributed Parameter Learning for Probabilistic Ontologies. ILP 2015: 30-45 - [c53]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
- [j29]Fabrizio Riguzzi:
Speeding Up Inference for Probabilistic Logic Programs. Comput. J. 57(3): 347-363 (2014) - [j28]Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese:
A History of Probabilistic Inductive Logic Programming. Frontiers Robotics AI 1: 6 (2014) - [j27]Fabrizio Riguzzi, Filip Zelezný:
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012). Mach. Learn. 94(1): 1-2 (2014) - [j26]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) - [j25]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) - [c52]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, Giuseppe Cota:
Learning Probabilistic Description Logics. URSW (LNCS Vol.) 2014: 63-78 - [c51]