Damiano Azzolini

Orcid: 0000-0002-7133-2673

According to our database1, Damiano Azzolini authored at least 39 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Learning answer set programs with aggregates via sampling and genetic programming.
Mach. Learn., July, 2025

Integrating Belief Domains into Probabilistic Logic Programs.
CoRR, July, 2025

Application Placement with Constraint Relaxation.
CoRR, July, 2025

Probabilistic Answer Set Programming with Discrete and Continuous Random Variables.
Theory Pract. Log. Program., 2025

Solving Decision Theory Problems with Probabilistic Answer Set Programming.
Theory Pract. Log. Program., 2025

Evolutionary learning of probabilistic logic programs.
Knowl. Based Syst., 2025

Mixtures of probabilistic logic programs.
Int. J. Approx. Reason., 2025

2024
Fast Inference for Probabilistic Answer Set Programs Via the Residual Program.
Theory Pract. Log. Program., 2024

Symbolic Parameter Learning in Probabilistic Answer Set Programming.
Theory Pract. Log. Program., 2024

Continuous reasoning for adaptive container image distribution in the cloud-edge continuum.
CoRR, 2024

Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

A First Journey into the Complexity of Statistical Statements in Probabilistic Answer Set Programming.
Proceedings of the Workshop Proceedings of the 40th International Conference on Logic Programming (ICLP-WS 2024) co-located with the 40th International Conference on Logic Programming (ICLP 2024), 2024

Logic Programming for Knowledge Graph Completion.
Proceedings of the 39th Italian Conference on Computational Logic, 2024

Summary of Inference in Probabilistic Answer Set Programs with Imprecise Probabilities via Optimization (Short paper).
Proceedings of the AIxIA Discussion Papers 2024 co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

2023
Lifted inference for statistical statements in probabilistic answer set programming.
Int. J. Approx. Reason., December, 2023

Regularization in Probabilistic Inductive Logic Programming.
Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs.
Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

Link Prediction in Knowledge Graphs with Probabilistic Logic Programming: Work in Progress.
Proceedings of the International Conference on Logic Programming 2023 Workshops co-located with the 39th International Conference on Logic Programming (ICLP 2023), 2023

A Brief Discussion about the Credal Semantics for Probabilistic Answer Set Programs.
Proceedings of the International Conference on Logic Programming 2023 Workshops co-located with the 39th International Conference on Logic Programming (ICLP 2023), 2023

Inference in Probabilistic Answer Set Programming Under the Credal Semantics.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Abduction with probabilistic logic programming under the distribution semantics.
Int. J. Approx. Reason., 2022

Probabilistic Logic Models for the Lightning Network.
Cryptogr., 2022

Statistical Statements in Probabilistic Logic Programming.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2022

Learning the Parameters of Probabilistic Answer Set Programs.
Proceedings of the Inductive Logic Programming - 31st International Conference, 2022

Semantics for Hybrid Probabilistic Logic Programs with Function Symbols: Technical Summary.
Proceedings of the International Conference on Logic Programming 2022 Workshops co-located with the 38th International Conference on Logic Programming (ICLP 2022), Haifa, Israel, July 31st, 2022

Abduction in (Probabilistic) Answer Set Programming.
Proceedings of the 37th Italian Conference on Computational Logic, Bologna, Italy, June 29, 2022

MAP Inference in Probabilistic Answer Set Programs.
Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities.
Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021
Optimizing Probabilities in Probabilistic Logic Programs.
Theory Pract. Log. Program., 2021

Syntactic Requirements for Well-defined Hybrid Probabilistic Logic Programs.
Proceedings of the Proceedings 37th International Conference on Logic Programming (Technical Communications), 2021

A semantics for Hybrid Probabilistic Logic programs with function symbols.
Artif. Intell., 2021

Reducing Probabilistic Logic Programs.
Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8, 2021

A Probabilistic Logic Model of Lightning Network.
Proceedings of the Business Information Systems Workshops, 2021

2020
An Analysis of Gibbs Sampling for Probabilistic Logic Programs.
Proceedings of the International Conference on Logic Programming 2020 Workshop Proceedings co-located with 36th International Conference on Logic Programming (ICLP 2020), 2020

Modeling Smart Contracts with Probabilistic Logic Programming.
Proceedings of the Business Information Systems Workshops, 2020

2019
Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming.
Inf., 2019

Analyzing Transaction Fees with Probabilistic Logic Programming.
Proceedings of the Business Information Systems Workshops, 2019

A Comparison of MCMC Sampling for Probabilistic Logic Programming.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
Modeling Bitcoin Protocols with Probabilistic Logic Programming.
Proceedings of the 5th International Workshop on Probabilistic Logic Programming, 2018


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