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

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

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

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

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

Optimizing Probabilities in Probabilistic Logic Programs. - Damiano Azzolini; 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)

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)

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

A Brief Discussion about the Credal Semantics for Probabilistic Answer Set Programs. - Damiano Azzolini (ICLP Workshops, 2023)

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

A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs. - Damiano Azzolini (ILP, 2023)

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

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

A First Journey into the Complexity of Statistical Statements in Probabilistic Answer Set Programming. - Damiano Azzolini; Markus Hecher (ICLP Workshops, 2024)

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

Continuous reasoning for adaptive container image distribution in the cloud-edge continuum. - Damiano Azzolini; Stefano Forti 002; Antonio Ielo (CoRR, 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)

Mixtures of probabilistic logic programs. - Damiano Azzolini (Int. J. Approx. Reason., 2025)

Evolutionary learning of probabilistic logic programs. - Damiano Azzolini (Knowl. Based Syst., 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)

Application Placement with Constraint Relaxation. - Damiano Azzolini; Marco Duca; Stefano Forti 002; Francesco Gallo; Antonio Ielo (CoRR, 2025)

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

Learning answer set programs with aggregates via sampling and genetic programming. - Damiano Azzolini (Mach. Learn., 2025)