An Algorithm for Learning Abductive Rules. - Evelina Lamma; Paola Mello; Michela Milano; Fabrizio Riguzzi (APPIA-GULP-PRODE, 1997)

Introducing Abduction into (Extensional) Inductive Logic Programming Systems. - Evelina Lamma; Paola Mello; Michela Milano; Fabrizio Riguzzi (AI*IA, 1997)

Learning with Abduction. - Antonis C. Kakas; Fabrizio Riguzzi (ILP, 1997)

A System for Abductive Learning of Logic Programs. - Evelina Lamma; Paola Mello; Michela Milano; Fabrizio Riguzzi (LPKR, 1997)

Learning Multiple Predicates. - Antonis C. Kakas; Evelina Lamma; Fabrizio Riguzzi (AIMSA, 1998)

Integrating Abduction and Induction. - Fabrizio Riguzzi (ECAI, 1998)

Adopting an Object-Oriented Data Model in Inductive Logic Programming. - Michela Milano; Andrea Omicini; Fabrizio Riguzzi (FLAIRS, 1999)

Integrating Induction and Abduction in Logic Programming. - Evelina Lamma; Paola Mello; Michela Milano; Fabrizio Riguzzi (Inf. Sci., 1999)

A System for Monitoring Nosocomial Infections. - Evelina Lamma; M. Manservigi; Paola Mello; Sergio Storari; Fabrizio Riguzzi (ISMDA, 2000)

Strategies in Combined Learning via Logic Programs. - Evelina Lamma; Fabrizio Riguzzi; Luís Moniz Pereira (Mach. Learn., 2000)

Abductive Concept Learning. - Antonis C. Kakas; Fabrizio Riguzzi (New Gener. Comput., 2000)

Belief Revision by Lamarckian Evolution. - Evelina Lamma; Luís Moniz Pereira; Fabrizio Riguzzi (EvoWorkshops, 2001)

An Expert System for Microbiological Data Validation and Surveillance. - Evelina Lamma; Paola Mello; Anna Nanetti; G. Poli; Fabrizio Riguzzi; Sergio Storari (ISMDA, 2001)

An application of machine learning and statistics to defect detection. - Rita Cucchiara; Paola Mello; Massimo Piccardi; Fabrizio Riguzzi (Intell. Data Anal., 2001)

Rule-based Programming for Building Expert Systems: a Comparison in the Microbiological Data Validation and Surveillance Domain. - Evelina Lamma; L. Maestrami; Paola Mello; Fabrizio Riguzzi; Sergio Storari (RULE@PLI, 2001)

An Intelligent Medical System for Mocrobiological Data Validation and Nosocomial Infection Surveillance. - Evelina Lamma; G. Modestino; Fabrizio Riguzzi; Sergio Storari; Paola Mello; Anna Nanetti (CBMS, 2002)

Improving the SLA Algorithm Using Association Rules. - Evelina Lamma; Fabrizio Riguzzi; Andrea Stambazzi; Sergio Storari (AI*IA, 2003)

Belief Revision via Lamarckian Evolution. - Evelina Lamma; Fabrizio Riguzzi; Luís Moniz Pereira (New Gener. Comput., 2003)

Discovering Validation Rules from Microbiological Data. - Evelina Lamma; Fabrizio Riguzzi; Sergio Storari; Paola Mello; Anna Nanetti (New Gener. Comput., 2003)

Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm. - Evelina Lamma; Fabrizio Riguzzi; Sergio Storari (ECAI, 2004)

Learning Logic Programs with Annotated Disjunctions. - Fabrizio Riguzzi (ILP, 2004)

A System for Measuring Function Points from an ER-DFD Specification. - Evelina Lamma; Paola Mello; Fabrizio Riguzzi (Comput. J., 2004)

Bayesian Networks Learning for Gene Expression Datasets. - Giacomo Gamberoni; Evelina Lamma; Fabrizio Riguzzi; Sergio Storari; Stefano Volinia (IDA, 2005)

Artificial Intelligence Techniques for Monitoring Dangerous Infections. - Evelina Lamma; Paola Mello; Anna Nanetti; Fabrizio Riguzzi; Sergio Storari; Gianfranco Valastro (IEEE Trans. Inf. Technol. Biomed., 2006)

A Top Down Interpreter for LPAD and CP-Logic. - Fabrizio Riguzzi (AI*IA, 2007)

Inducing Declarative Logic-Based Models from Labeled Traces. - Evelina Lamma; Paola Mello; Marco Montali; Fabrizio Riguzzi; Sergio Storari (BPM, 2007)

Applying Inductive Logic Programming to Process Mining. - Evelina Lamma; Paola Mello; Fabrizio Riguzzi; Sergio Storari (ILP, 2007)

Inducing Specification of Interaction Protocols and Business Processes and Proving their Properties. - Marco Alberti 001; Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Sergio Storari (Il Milione, 2008)

Checking Compliance of Execution Traces to Business Rules. - Federico Chesani; Paola Mello; Marco Montali; Fabrizio Riguzzi; Maurizio Sebastianis; Sergio Storari (Business Process Management Workshops, 2008)

Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics. - Fabrizio Riguzzi (ICLP, 2008)

The SLGAD Procedure for Inference on Logic Programs with Annotated Disjunctions. - Fabrizio Riguzzi (RCRA, 2008)

ALLPAD: approximate learning of logic programs with annotated disjunctions. - Fabrizio Riguzzi (Mach. Learn., 2008)

Exploiting association and correlation rules parameters for learning Bayesian networks. - Sergio Storari; Fabrizio Riguzzi; Evelina Lamma (Intell. Data Anal., 2009)

Extended semantics and inference for the Independent Choice Logic. - Fabrizio Riguzzi (Log. J. IGPL, 2009)

Exploiting Inductive Logic Programming Techniques for Declarative Process Mining. - Federico Chesani; Evelina Lamma; Paola Mello; Marco Montali; Fabrizio Riguzzi; Sergio Storari (Trans. Petri Nets Other Model. Concurr., 2009)

Probabilistic Logic-Based Process Mining. - Elena Bellodi; Fabrizio Riguzzi; Evelina Lamma (CILC, 2010)

An Extended Semantics for Logic Programs with Annotated Disjunctions and its Efficient Implementation. - Fabrizio Riguzzi; Terrance Swift (CILC, 2010)

Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. - Fabrizio Riguzzi; Terrance Swift (ICLP (Technical Communications), 2010)

Approximate Inference for Logic Programs with Annotated Disjunctions. - Stefano Bragaglia; Fabrizio Riguzzi (ILP, 2010)

Probabilistic Declarative Process Mining. - Elena Bellodi; Fabrizio Riguzzi; Evelina Lamma (KSEM, 2010)

Preface. - Marco Gavanelli; Fabrizio Riguzzi; Alberto Pettorossi (Fundam. Informaticae, 2010)

SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions. - Fabrizio Riguzzi (Fundam. Informaticae, 2010)

Logic-based decision support for strategic environmental assessment. - Marco Gavanelli; Fabrizio Riguzzi; Michela Milano; Paolo Cagnoli (Theory Pract. Log. Program., 2010)

Incremental Declarative Process Mining. - Massimiliano Cattafi; Evelina Lamma; Fabrizio Riguzzi; Sergio Storari (Smart Information and Knowledge Management, 2010)

An Application of Fuzzy Logic to Strategic Environmental Assessment. - Marco Gavanelli; Fabrizio Riguzzi; Michela Milano; Davide Sottara; Alessandro Cangini; Paolo Cagnoli (AI*IA, 2011)

EM over Binary Decision Diagrams for Probabilistic Logic Programs. - Elena Bellodi; Fabrizio Riguzzi (CILC, 2011)

MCINTYRE: A Monte Carlo Algorithm for Probabilistic Logic Programming. - Fabrizio Riguzzi (CILC, 2011)

Learning the Structure of Probabilistic Logic Programs. - Elena Bellodi; Fabrizio Riguzzi (ILP, 2011)

The PITA System for Logical-Probabilistic Inference. - Fabrizio Riguzzi; Terrance Swift (ILP (Late Breaking Papers), 2011)

A Distribution Semantics for Probabilistic Ontologies. - Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi; Simone Albani (URSW, 2011)

Learning specifications of interaction protocols and business processes and proving their properties. - Marco Alberti 001; Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Sergio Storari (Intelligenza Artificiale, 2011)

The PITA system: Tabling and answer subsumption for reasoning under uncertainty. - Fabrizio Riguzzi; Terrance Swift (Theory Pract. Log. Program., 2011)

Parameter and Structure Learning Algorithms for Statistical Relational Learning. - Elena Bellodi; Fabrizio Riguzzi (DC@AI*IA, 2012)

Un sistema di Vision Inspection basato su reti neurali. - Ludovico Buffon; Evelina Lamma; Fabrizio Riguzzi; Davide Formenti (PAI, 2012)

Semantics and Inference for Probabilistic Ontologies. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (PAI, 2012)

Optimizing Inference for Probabilistic Logic Programs Exploiting Independence and Exclusiveness. - Fabrizio Riguzzi (CILC, 2012)

Probabilistic Ontologies in Datalog+/-. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma (CILC, 2012)

Probabilistic Datalog+/- under the Distribution Semantics. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma (Description Logics, 2012)

Epistemic and Statistical Probabilistic Ontologies. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (URSW, 2012)

Experimentation of an expectation maximization algorithm for probabilistic logic programs. - Elena Bellodi; Fabrizio Riguzzi (Intelligenza Artificiale, 2012)

Applying the information bottleneck to statistical relational learning. - Fabrizio Riguzzi; Nicola Di Mauro (Mach. Learn., 2012)

Computing Instantiated Explanations in OWL DL. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (AI*IA, 2013)

Constraint and Optimization techniques for supporting Policy Making. - Marco Gavanelli; Fabrizio Riguzzi; Michela Milano; Paolo Cagnoli (CILC, 2013)

A Description Logics Tableau Reasoner in Prolog. - Riccardo Zese; Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi (CILC, 2013)

Learning the Parameters of Probabilistic Description Logics. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (ILP (Late Breaking Papers), 2013)

BUNDLE: A Reasoner for Probabilistic Ontologies. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (RR, 2013)

Parameter Learning for Probabilistic Ontologies. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (RR, 2013)

MCINTYRE: A Monte Carlo System for Probabilistic Logic Programming. - Fabrizio Riguzzi (Fundam. Informaticae, 2013)

Guest-editorial: 25 years of AI*IA. - Matteo Baldoni; Paola Mello; Fabrizio Riguzzi (Intelligenza Artificiale, 2013)

Italian Machine Learning and Data Mining research: The last years. - 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; et al. (Intelligenza Artificiale, 2013)

Expectation maximization over binary decision diagrams for probabilistic logic programs. - Elena Bellodi; Fabrizio Riguzzi (Intell. Data Anal., 2013)

Well-definedness and efficient inference for probabilistic logic programming under the distribution semantics. - Fabrizio Riguzzi; Terrance Swift (Theory Pract. Log. Program., 2013)

Learning Probabilistic Description Logics. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese; Giuseppe Cota (URSW (LNCS Vol.), 2014)

Semantics and Inference for Probabilistic Description Logics. - Riccardo Zese; Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi; Fabiano Aguiari (URSW (LNCS Vol.), 2014)

Speeding Up Inference for Probabilistic Logic Programs. - Fabrizio Riguzzi (Comput. J., 2014)

A History of Probabilistic Inductive Logic Programming. - Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese (Frontiers Robotics AI, 2014)

Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012). - Fabrizio Riguzzi; Filip Zelezný (Mach. Learn., 2014)

Terminating Evaluation of Logic Programs with Finite Three-Valued Models. - Fabrizio Riguzzi; Terrance Swift (ACM Trans. Comput. Log., 2014)

Lifted Variable Elimination for Probabilistic Logic Programming. - Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi; Vítor Santos Costa; Riccardo Zese (Theory Pract. Log. Program., 2014)

Learning Probabilistic Ontologies with Distributed Parameter Learning. - Giuseppe Cota; Riccardo Zese; Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi (DC@AI*IA, 2015)

Tableau Reasoners for Probabilistic Ontologies Exploiting Logic Programming Techniques. - Riccardo Zese; Elena Bellodi; Fabrizio Riguzzi; Evelina Lamma (DC@AI*IA, 2015)

Probabilistic Logic Programming in Action. - Arnaud Nguembang Fadja; Fabrizio Riguzzi (BIRS-IMLKE, 2015)

Abductive logic programming for Datalog +/- ontologies. - Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Giuseppe Cota (CILC, 2015)

An Abductive Framework for Datalog± Ontologies. - Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Giuseppe Cota (ICLP (Technical Communications), 2015)

The Distribution Semantics is Well-Defined for All Normal Programs. - Fabrizio Riguzzi (PLP@ICLP, 2015)

Reasoning with Probabilistic Ontologies. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (IJCAI, 2015)

Logic Programming Techniques for Reasoning with Probabilistic Ontologies. - Riccardo Zese; Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi (JOWO@IJCAI, 2015)

Distributed Parameter Learning for Probabilistic Ontologies. - Giuseppe Cota; Riccardo Zese; Elena Bellodi; Fabrizio Riguzzi; Evelina Lamma (ILP, 2015)

Abductive Logic Programming for Normative Reasoning and Ontologies. - Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Giuseppe Cota (JSAI-isAI Workshops, 2015)

Introduzione all'Intelligenza Artificiale. - Fabrizio Riguzzi (CoRR, 2015)

SWISH: SWI-Prolog for Sharing. - Jan Wielemaker; Torbjörn Lager; Fabrizio Riguzzi (CoRR, 2015)

Bandit-based Monte-Carlo structure learning of probabilistic logic programs. - Nicola Di Mauro; Elena Bellodi; Fabrizio Riguzzi (Mach. Learn., 2015)

Probabilistic Description Logics under the distribution semantics. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese (Semantic Web, 2015)

Structure learning of probabilistic logic programs by searching the clause space. - Elena Bellodi; Fabrizio Riguzzi (Theory Pract. Log. Program., 2015)

Probabilistic Logical Inference on the Web. - Marco Alberti 001; Giuseppe Cota; Fabrizio Riguzzi; Riccardo Zese (AI*IA, 2016)

Probabilistic Hybrid Knowledge Bases Under the Distribution Semantics. - Marco Alberti 001; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese (AI*IA, 2016)

Probabilistic Logic Programming for Natural Language Processing. - Fabrizio Riguzzi; Evelina Lamma; Marco Alberti 001; Elena Bellodi; Riccardo Zese; Giuseppe Cota (URANIA@AI*IA, 2016)

Scaling Structure Learning of Probabilistic Logic Programs by MapReduce. - Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Giuseppe Cota; Evelina Lamma (ECAI, 2016)

Probabilistic Inductive Logic Programming on the Web. - Fabrizio Riguzzi; Riccardo Zese; Giuseppe Cota (EKAW (Satellite Events), 2016)

Probabilistic Constraint Logic Theories. - Marco Alberti 001; Elena Bellodi; Giuseppe Cota; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese (PLP@ILP, 2016)

Statistical relational learning for workflow mining. - Elena Bellodi; Fabrizio Riguzzi; Evelina Lamma (Intell. Data Anal., 2016)

The distribution semantics for normal programs with function symbols. - Fabrizio Riguzzi (Int. J. Approx. Reason., 2016)

Probabilistic logic programming on the web. - Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma; Riccardo Zese; Giuseppe Cota (Softw. Pract. Exp., 2016)

Iterated Fixpoint Well-Founded Semantics for Hybrid Knowledge Bases. - Marco Alberti 001; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese (ICTCS/CILC, 2017)

A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases. - Marco Alberti 001; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese (PLP@ILP, 2017)

Deep Probabilistic Logic Programming. - Arnaud Nguembang Fadja; Evelina Lamma; Fabrizio Riguzzi (PLP@ILP, 2017)

Dischargeable Obligations in Abductive Logic Programming. - Marco Alberti 001; Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese (RuleML+RR, 2017)

Probabilistic Inductive Logic Programming on the Web. - Fabrizio Riguzzi; Riccardo Zese (RuleML+RR (Supplement), 2017)

cplint on SWISH: Probabilistic Logical Inference with a Web Browser. - Marco Alberti 001; Elena Bellodi; Giuseppe Cota; Fabrizio Riguzzi; Riccardo Zese (Intelligenza Artificiale, 2017)

A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics. - Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Giuseppe Cota; Evelina Lamma (Int. J. Approx. Reason., 2017)

Causal inference in cplint. - Fabrizio Riguzzi; Giuseppe Cota; Elena Bellodi; Riccardo Zese (Int. J. Approx. Reason., 2017)

A web system for reasoning with probabilistic OWL. - Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese; Giuseppe Cota (Softw. Pract. Exp., 2017)

A survey of probabilistic logic programming. - Fabrizio Riguzzi; Theresa Swift (Declarative Logic Programming, 2018)

Vision Inspection with Neural Networks. - Arnaud Nguembang Fadja; Evelina Lamma; Fabrizio Riguzzi (RiCeRcA@AI*IA, 2018)

Expectation Maximization in Deep Probabilistic Logic Programming. - Arnaud Nguembang Fadja; Fabrizio Riguzzi; Evelina Lamma (AI*IA, 2018)

A Decision Support System for Food Recycling based on Constraint Logic Programming and Ontological Reasoning. - Federico Chesani; Giuseppe Cota; Evelina Lamma; Paola Mello; Fabrizio Riguzzi (CILC, 2018)

Modeling Bitcoin Protocols with Probabilistic Logic Programming. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma; Elena Bellodi; Riccardo Zese (PLP@ILP, 2018)

Learning the Parameters of Deep Probabilistic Logic Programs. - Arnaud Nguembang Fadja; Fabrizio Riguzzi; Evelina Lamma (PLP@ILP, 2018)

Probabilistic Inference in SWI-Prolog. - Fabrizio Riguzzi; Jan Wielemaker; Riccardo Zese (PLP@ILP, 2018)

A Modular Inference System for Probabilistic Description Logics. - Giuseppe Cota; Fabrizio Riguzzi; Riccardo Zese; Elena Bellodi; Evelina Lamma (SUM, 2018)

Tableau reasoning for description logics and its extension to probabilities. - Riccardo Zese; Elena Bellodi; Fabrizio Riguzzi; Giuseppe Cota; Evelina Lamma (Ann. Math. Artif. Intell., 2018)

Using SWISH to realise interactive web based tutorials for logic based languages. - Jan Wielemaker; Fabrizio Riguzzi; Bob Kowalski 001; Torbjörn Lager; Fariba Sadri; Miguel Calejo (CoRR, 2018)

Reasoning on Datalog± Ontologies with Abductive Logic Programming. - Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Giuseppe Cota (Fundam. Informaticae, 2018)

A Comparison of MCMC Sampling for Probabilistic Logic Programming. - Damiano Azzolini; Fabrizio Riguzzi; Franco Masotti; Evelina Lamma (AI*IA, 2019)

Analyzing Transaction Fees with Probabilistic Logic Programming. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma (BIS (Workshops), 2019)

KRaider: a Crawler for Linked Data. - Giuseppe Cota; Fabrizio Riguzzi; Riccardo Zese; Evelina Lamma (CILC, 2019)

Editorial: Statistical Relational Artificial Intelligence. - Fabrizio Riguzzi; Kristian Kersting; Marco Lippi 001; Sriraam Natarajan (Frontiers Robotics AI, 2019)

Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma (Inf., 2019)

Lifted discriminative learning of probabilistic logic programs. - Arnaud Nguembang Fadja; Fabrizio Riguzzi (Mach. Learn., 2019)

Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018. - Nicolas Lachiche; Christel Vrain; Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese (Mach. Learn., 2019)

Using SWISH to Realize Interactive Web-based Tutorials for Logic-based Languages. - Jan Wielemaker; Fabrizio Riguzzi; Robert A. Kowalski; Torbjörn Lager; Fariba Sadri; Miguel Calejo (Theory Pract. Log. Program., 2019)

Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach. - Riccardo Zese; Giuseppe Cota; Evelina Lamma; Elena Bellodi; Fabrizio Riguzzi (Theory Pract. Log. Program., 2019)

Modeling Smart Contracts with Probabilistic Logic Programming. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma (BIS (Workshops), 2020)

Quantum Weighted Model Counting. - Fabrizio Riguzzi (ECAI, 2020)

An Analysis of Gibbs Sampling for Probabilistic Logic Programs. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma (ICLP Workshops, 2020)

Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules. - Michele Fraccaroli; Evelina Lamma; Fabrizio Riguzzi (LOD (1), 2020)

A Framework for Reasoning on Probabilistic Description Logics. - Giuseppe Cota; Riccardo Zese; Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi (CoRR, 2020)

Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling. - Federico Chesani; Giuseppe Cota; Marco Gavanelli; Evelina Lamma; Paola Mello; Fabrizio Riguzzi (Eng. Appl. Artif. Intell., 2020)

Dischargeable Obligations in the 𝒮CIFF Framework. - Marco Alberti 001; Marco Gavanelli; Evelina Lamma; Fabrizio Riguzzi; Ken Satoh; Riccardo Zese (Fundam. Informaticae, 2020)

MAP Inference for Probabilistic Logic Programming. - Elena Bellodi; Marco Alberti 001; Fabrizio Riguzzi; Riccardo Zese (Theory Pract. Log. Program., 2020)

A Framework for Reasoning on Probabilistic Description Logics. - Giuseppe Cota; Riccardo Zese; Elena Bellodi; Evelina Lamma; Fabrizio Riguzzi (Applications and Practices in Ontology Design, Extraction, and Reasoning, 2020)

A Probabilistic Logic Model of Lightning Network. - Damiano Azzolini; Fabrizio Riguzzi; Elena Bellodi; Evelina Lamma (BIS (Workshops), 2021)

Reducing Probabilistic Logic Programs. - Damiano Azzolini; Fabrizio Riguzzi (RuleML+RR (Supplement), 2021)

A semantics for Hybrid Probabilistic Logic programs with function symbols. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma (Artif. Intell., 2021)

Identification of natural selection in genomic data with deep convolutional neural network. - Arnaud Nguembang Fadja; Fabrizio Riguzzi; Giorgio Bertorelle; Emiliano Trucchi (BioData Min., 2021)

Non-ground Abductive Logic Programming with Probabilistic Integrity Constraints. - Elena Bellodi; Marco Gavanelli; Riccardo Zese; Evelina Lamma; Fabrizio Riguzzi (CoRR, 2021)

Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs. - Damiano Azzolini; Fabrizio Riguzzi (ICLP Technical Communications, 2021)

Learning hierarchical probabilistic logic programs. - Arnaud Nguembang Fadja; Fabrizio Riguzzi; Evelina Lamma (Mach. Learn., 2021)

Probabilistic inductive constraint logic. - Fabrizio Riguzzi; Elena Bellodi; Riccardo Zese; Marco Alberti 001; Evelina Lamma (Mach. Learn., 2021)

Optimizing Probabilities in Probabilistic Logic Programs. - Damiano Azzolini; Fabrizio Riguzzi (Theory Pract. Log. Program., 2021)

Nonground Abductive Logic Programming with Probabilistic Integrity Constraints. - Elena Bellodi; Marco Gavanelli; Riccardo Zese; Evelina Lamma; Fabrizio Riguzzi (Theory Pract. Log. Program., 2021)

Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities. - Damiano Azzolini; Elena Bellodi; Fabrizio Riguzzi (AI*IA, 2022)

MAP Inference in Probabilistic Answer Set Programs. - Damiano Azzolini; Elena Bellodi; Fabrizio Riguzzi (AI*IA, 2022)

Abduction in (Probabilistic) Answer Set Programming. - Damiano Azzolini; Elena Bellodi; Fabrizio Riguzzi (CILC, 2022)

Semantics for Hybrid Probabilistic Logic Programs with Function Symbols: Technical Summary. - Damiano Azzolini; Fabrizio Riguzzi; Evelina Lamma (ICLP Workshops, 2022)

Learning the Parameters of Probabilistic Answer Set Programs. - Damiano Azzolini; Elena Bellodi; Fabrizio Riguzzi (ILP, 2022)

Statistical Statements in Probabilistic Logic Programming. - Damiano Azzolini; Elena Bellodi; Fabrizio Riguzzi (LPNMR, 2022)

An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols. - Marco Alberti 001; Riccardo Zese; Fabrizio Riguzzi; Evelina Lamma (ICLP Technical Communications / Doctoral Consortium, 2022)

Probabilistic Logic Models for the Lightning Network. - Damiano Azzolini; Fabrizio Riguzzi (Cryptogr., 2022)

Abduction with probabilistic logic programming under the distribution semantics. - Damiano Azzolini; Elena Bellodi; Stefano Ferilli; Fabrizio Riguzzi; Riccardo Zese (Int. J. Approx. Reason., 2022)

Symbolic DNN-Tuner. - Michele Fraccaroli; Evelina Lamma; Fabrizio Riguzzi (Mach. Learn., 2022)

Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters. - Michele Fraccaroli; Evelina Lamma; Fabrizio Riguzzi (SoftwareX, 2022)

Inference in Probabilistic Answer Set Programming Under the Credal Semantics. - Damiano Azzolini; Fabrizio Riguzzi (AI*IA, 2023)

Link Prediction in Knowledge Graphs with Probabilistic Logic Programming: Work in Progress. - Damiano Azzolini; Elisabetta Gentili; Fabrizio Riguzzi (ICLP Workshops, 2023)

Regularization in Probabilistic Inductive Logic Programming. - Elisabetta Gentili; Alice Bizzarri; Damiano Azzolini; Riccardo Zese; Fabrizio Riguzzi (ILP, 2023)

Automatic Differentiation in Prolog. - Tom Schrijvers; Birthe van den Berg; Fabrizio Riguzzi (Theory Pract. Log. Program., 2023)

Lifted inference for statistical statements in probabilistic answer set programming. - Damiano Azzolini; Fabrizio Riguzzi (Int. J. Approx. Reason., 2023)

Summary of Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization (Short paper). - Damiano Azzolini; Fabrizio Riguzzi (DP@AI*IA, 2024)

Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection. - Alice Bizzarri; Chung-En Yu; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (AI*IA, 2024)

Logic Programming for Knowledge Graph Completion. - Damiano Azzolini; Matteo Bonato; Elisabetta Gentili; Fabrizio Riguzzi (CILC, 2024)

A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. - Alice Bizzarri; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (ICCCN, 2024)

Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization. - Damiano Azzolini; Fabrizio Riguzzi (UAI, 2024)

A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. - Alice Bizzarri; Chung-En Yu; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (CoRR, 2024)

Integration between constrained optimization and deep networks: a survey. - Alice Bizzarri; Michele Fraccaroli; Evelina Lamma; Fabrizio Riguzzi (Frontiers Artif. Intell., 2024)

Symbolic Parameter Learning in Probabilistic Answer Set Programming. - Damiano Azzolini; Elisabetta Gentili; Fabrizio Riguzzi (Theory Pract. Log. Program., 2024)

Fast Inference for Probabilistic Answer Set Programs Via the Residual Program. - Damiano Azzolini; Fabrizio Riguzzi (Theory Pract. Log. Program., 2024)

Quantum algorithms for weighted constrained sampling and weighted model counting. - Fabrizio Riguzzi (Quantum Mach. Intell., 2024)

An Evaluation of Open Source LLMs for Neuro-Symbolic Integration. - Stefano Sambri; Atefeh Ghanbari; Fabrizio Riguzzi (CILC, 2025)

A semantics for probabilistic hybrid knowledge bases with function symbols. - Marco Alberti 001; Evelina Lamma; Fabrizio Riguzzi; Riccardo Zese (Artif. Intell., 2025)

Neurosymbolic AI for network intrusion detection systems: A survey. - Alice Bizzarri; Chung-En Johnny Yu; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (J. Inf. Secur. Appl., 2025)

Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases. - Riccardo Zese; Evelina Lamma; Fabrizio Riguzzi (Log. Methods Comput. Sci., 2025)

Solving Decision Theory Problems with Probabilistic Answer Set Programming. - Damiano Azzolini; Elena Bellodi; Rafael Kiesel; Fabrizio Riguzzi (Theory Pract. Log. Program., 2025)

Probabilistic Answer Set Programming with Discrete and Continuous Random Variables. - Damiano Azzolini; Fabrizio Riguzzi (Theory Pract. Log. Program., 2025)

Integrating Belief Domains into Probabilistic Logic Programs. - Damiano Azzolini; Fabrizio Riguzzi; Theresa Swift (CoRR, 2025)