Fabrizio Riguzzi

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 82

Top Venues

CoRR

Theory Pract. Log. Program.

Mach. Learn.

AI*IA

Publications

Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. CoRR (2024)
Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Integration between constrained optimization and deep networks: a survey. Frontiers Artif. Intell. 7 (2024)
Damiano Azzolini, Matteo Bonato, Elisabetta Gentili, Fabrizio Riguzzi
Logic Programming for Knowledge Graph Completion. CILC (2024)
Fabrizio Riguzzi
Quantum Algorithms for Weighted Constrained Sampling and Weighted Model Counting. CoRR (2024)
Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi
Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases. CoRR (2023)
Damiano Azzolini, Fabrizio Riguzzi
Lifted inference for statistical statements in probabilistic answer set programming. Int. J. Approx. Reason. 163 (2023)
Tom Schrijvers, Birthe van den Berg, Fabrizio Riguzzi
Automatic Differentiation in Prolog. CoRR (2023)
Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi
Regularization in Probabilistic Inductive Logic Programming. ILP (2023)
Damiano Azzolini, Fabrizio Riguzzi
Inference in Probabilistic Answer Set Programming Under the Credal Semantics. AI*IA (2023)
Tom Schrijvers, Birthe van den Berg, Fabrizio Riguzzi
Automatic Differentiation in Prolog. Theory Pract. Log. Program. 23 (4) (2023)
Damiano Azzolini, Elisabetta Gentili, Fabrizio Riguzzi
Link Prediction in Knowledge Graphs with Probabilistic Logic Programming: Work in Progress. ICLP Workshops (2023)
Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi
Abduction in (Probabilistic) Answer Set Programming. CILC (2022)
Damiano Azzolini, Fabrizio Riguzzi
Probabilistic Logic Models for the Lightning Network. Cryptogr. 6 (2) (2022)
Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi
MAP Inference in Probabilistic Answer Set Programs. AI*IA (2022)
Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi
Statistical Statements in Probabilistic Logic Programming. LPNMR (2022)
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters. SoftwareX 17 (2022)
Damiano Azzolini, Elena Bellodi, Stefano Ferilli, Fabrizio Riguzzi, Riccardo Zese
Abduction with probabilistic logic programming under the distribution semantics. Int. J. Approx. Reason. 142 (2022)
Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi
Learning the Parameters of Probabilistic Answer Set Programs. ILP (2022)
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Symbolic DNN-Tuner. Mach. Learn. 111 (2) (2022)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma
Semantics for Hybrid Probabilistic Logic Programs with Function Symbols: Technical Summary. ICLP Workshops (2022)
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)
Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi
Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities. AI*IA (2022)
Damiano Azzolini, Fabrizio Riguzzi
Reducing Probabilistic Logic Programs. RuleML+RR (Supplement) (2021)
Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Marco Alberti, Evelina Lamma
Probabilistic inductive constraint logic. Mach. Learn. 110 (4) (2021)
Damiano Azzolini, Fabrizio Riguzzi
Optimizing Probabilities in Probabilistic Logic Programs. CoRR (2021)
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)
Damiano Azzolini, Fabrizio Riguzzi
Optimizing Probabilities in Probabilistic Logic Programs. Theory Pract. Log. Program. 21 (5) (2021)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma
A semantics for Hybrid Probabilistic Logic programs with function symbols. Artif. Intell. 294 (2021)
Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints. Theory Pract. Log. Program. 21 (5) (2021)
Damiano Azzolini, Fabrizio Riguzzi
Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs. ICLP Technical Communications (2021)
Damiano Azzolini, Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma
A Probabilistic Logic Model of Lightning Network. BIS (Workshops) (2021)
Elena Bellodi, Marco Gavanelli, Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi
Non-ground Abductive Logic Programming with Probabilistic Integrity Constraints. CoRR (2021)
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma
Learning hierarchical probabilistic logic programs. Mach. Learn. 110 (7) (2021)
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 (2020)
Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese
MAP Inference for Probabilistic Logic Programming. CoRR (2020)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma
Modeling Smart Contracts with Probabilistic Logic Programming. BIS (Workshops) (2020)
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. CoRR (2020)
Fabrizio Riguzzi
Quantum Weighted Model Counting. ECAI (2020)
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. LOD (1) (2020)
Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi
A Framework for Reasoning on Probabilistic Description Logics. CoRR (2020)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma
An Analysis of Gibbs Sampling for Probabilistic Logic Programs. ICLP Workshops (2020)
Elena Bellodi, Marco Alberti, Fabrizio Riguzzi, Riccardo Zese
MAP Inference for Probabilistic Logic Programming. Theory Pract. Log. Program. 20 (5) (2020)
Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Ken Satoh, Riccardo Zese
CIFF Framework. Fundam. Informaticae 176 (3-4) (2020)
Fabrizio Riguzzi, Kristian Kersting, Marco Lippi, Sriraam Natarajan
Editorial: Statistical Relational Artificial Intelligence. Frontiers Robotics AI 6 (2019)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma
Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming. Inf. 10 (11) (2019)
Fabrizio Riguzzi
Quantum Weighted Model Counting. CoRR (2019)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma
Analyzing Transaction Fees with Probabilistic Logic Programming. BIS (Workshops) (2019)
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) (2019)
Damiano Azzolini, Fabrizio Riguzzi, Franco Masotti, Evelina Lamma
A Comparison of MCMC Sampling for Probabilistic Logic Programming. AI*IA (2019)
Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese, Evelina Lamma
KRaider: a Crawler for Linked Data. CILC (2019)
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) (2019)
Arnaud Nguembang Fadja, Fabrizio Riguzzi
Lifted discriminative learning of probabilistic logic programs. Mach. Learn. 108 (7) (2019)
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) (2019)
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)
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) (2018)
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma
Learning the Parameters of Deep Probabilistic Logic Programs. PLP@ILP (2018)
Fabrizio Riguzzi, Jan Wielemaker, Riccardo Zese
Probabilistic Inference in SWI-Prolog. PLP@ILP (2018)
Arnaud Nguembang Fadja, Fabrizio Riguzzi, Evelina Lamma
Expectation Maximization in Deep Probabilistic Logic Programming. AI*IA (2018)
Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese, Elena Bellodi, Evelina Lamma
A Modular Inference System for Probabilistic Description Logics. SUM (2018)
Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi
Vision Inspection with Neural Networks. RiCeRcA@AI*IA (2018)
Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota
Ontologies with Abductive Logic Programming. Fundam. Informaticae 159 (1-2) (2018)
Damiano Azzolini, Fabrizio Riguzzi, Evelina Lamma, Elena Bellodi, Riccardo Zese
Modeling Bitcoin Protocols with Probabilistic Logic Programming. PLP@ILP (2018)
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 (2018)
Riccardo Zese, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach. CoRR (2018)
Fabrizio Riguzzi, Riccardo Zese
Probabilistic Inductive Logic Programming on the Web. RuleML+RR (Supplement) (2017)
Marco Alberti, Elena Bellodi, Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese
cplint on SWISH: Probabilistic Logical Inference with a Web Browser. Intelligenza Artificiale 11 (1) (2017)
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 (2017)
Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese
A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases. PLP@ILP (2017)
Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota
A web system for reasoning with probabilistic OWL. Softw. Pract. Exp. 47 (1) (2017)
Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese
Iterated Fixpoint Well-Founded Semantics for Hybrid Knowledge Bases. ICTCS/CILC (2017)
Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese
Dischargeable Obligations in Abductive Logic Programming. RuleML+RR (2017)
Arnaud Nguembang Fadja, Evelina Lamma, Fabrizio Riguzzi
Deep Probabilistic Logic Programming. PLP@ILP (2017)
Fabrizio Riguzzi, Giuseppe Cota, Elena Bellodi, Riccardo Zese
Causal inference in cplint. Int. J. Approx. Reason. 91 (2017)
Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, Giuseppe Cota
Probabilistic logic programming on the web. Softw. Pract. Exp. 46 (10) (2016)
Marco Alberti, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese
Probabilistic Constraint Logic Theories. PLP@ILP (2016)
Fabrizio Riguzzi
The distribution semantics for normal programs with function symbols. Int. J. Approx. Reason. 77 (2016)
Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese
Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics. AI*IA (2016)
Fabrizio Riguzzi, Riccardo Zese, Giuseppe Cota
Probabilistic Inductive Logic Programming on the Web. EKAW (Satellite Events) (2016)
Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, Evelina Lamma
Scaling Structure Learning of Probabilistic Logic Programs by MapReduce. ECAI (2016)
Marco Alberti, Giuseppe Cota, Fabrizio Riguzzi, Riccardo Zese
Probabilistic Logical Inference on the Web. AI*IA (2016)
Fabrizio Riguzzi, Evelina Lamma, Marco Alberti, Elena Bellodi, Riccardo Zese, Giuseppe Cota
Probabilistic Logic Programming for Natural Language Processing. URANIA@AI*IA (2016)
Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma
Statistical relational learning for workflow mining. Intell. Data Anal. 20 (3) (2016)
Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma
Distributed Parameter Learning for Probabilistic Ontologies. ILP (2015)
Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota
Abductive Logic Programming for Normative Reasoning and Ontologies. JSAI-isAI Workshops (2015)
Jan Wielemaker, Torbjörn Lager, Fabrizio Riguzzi
SWISH: SWI-Prolog for Sharing. CoRR (2015)
Fabrizio Riguzzi
Introduzione all'Intelligenza Artificiale. CoRR (2015)
Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese
Reasoning with Probabilistic Ontologies. IJCAI (2015)
Arnaud Nguembang Fadja, Fabrizio Riguzzi
Probabilistic Logic Programming in Action. BIRS-IMLKE (2015)
Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi
Learning Probabilistic Ontologies with Distributed Parameter Learning. DC@AI*IA (2015)
Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma
Tableau Reasoners for Probabilistic Ontologies Exploiting Logic Programming Techniques. DC@AI*IA (2015)
Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota
An Abductive Framework for Datalog± Ontologies. ICLP (Technical Communications) (2015)
Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese
Probabilistic Description Logics under the distribution semantics. Semantic Web 6 (5) (2015)
Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota
Abductive logic programming for Datalog +/- ontologies. CILC (2015)
Elena Bellodi, Fabrizio Riguzzi
Structure learning of probabilistic logic programs by searching the clause space. Theory Pract. Log. Program. 15 (2) (2015)
Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi
Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn. 100 (1) (2015)
Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi
Logic Programming Techniques for Reasoning with Probabilistic Ontologies. JOWO@IJCAI (2015)
Fabrizio Riguzzi
The Distribution Semantics is Well-Defined for All Normal Programs. PLP@ICLP (2015)
Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Vítor Santos Costa, Riccardo Zese
Lifted Variable Elimination for Probabilistic Logic Programming. CoRR (2014)
Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, Giuseppe Cota
Learning Probabilistic Description Logics. URSW (LNCS Vol.) (2014)
Fabrizio Riguzzi, Terrance Swift
Terminating Evaluation of Logic Programs with Finite Three-Valued Models. ACM Trans. Comput. Log. 15 (4) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabrizio Riguzzi