AZZOLINI, Damiano
AZZOLINI, Damiano
Dipartimento di Scienze dell’Ambiente e della Prevenzione
A Brief Discussion about the Credal Semantics for Probabilistic Answer Set Programs
2023 Azzolini, D.
A Comparison of MCMC Sampling for Probabilistic Logic Programming
2019 Azzolini, D.; Riguzzi, F.; Masotti, F.; Lamma, E.
A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs
2023 Azzolini, D.
A First Journey into the Complexity of Statistical Statements in Probabilistic Answer Set Programming
2024 Azzolini, Damiano; Markus, Hecher
A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images
2023 Azzolini, D.; Bizzarri, A.; Fraccaroli, M.; Bertasi, F.; Lamma, E.
A Novel Framework for Reasoning over Optimization Problems in Probabilistic Answer Set Programming
file con accesso da definire2025 Azzolini, Damiano; Mazzotta, Giuseppe; Ricca, Francesco; Riguzzi, Fabrizio
A probabilistic logic model of Lightning Network
2022 Azzolini, Damiano; Riguzzi, Fabrizio; Bellodi, Elena; Lamma, Evelina
A semantics for Hybrid Probabilistic Logic programs with function symbols
2021 Azzolini, D.; Riguzzi, F.; Lamma, E.
Abduction in (Probabilistic) Answer Set Programming
2022 Azzolini, D.; Bellodi, E.; Riguzzi, F.
Abduction in Probabilistic Logic Programs
file con accesso da definire2022 Azzolini, D.; Bellodi, E.; Ferilli, S.; Riguzzi, F.; Zese, R.
Abduction with probabilistic logic programming under the distribution semantics
2022 Azzolini, D.; Bellodi, E.; Ferilli, S.; Riguzzi, F.; Zese, R.
An Algebraic View of MAP Inference in Probabilistic Answer Set Programs
file con accesso da definire2025 Azzolini, D.; Mazzotta, G.; Ricca, F.; Riguzzi, F.
An Analysis of Gibbs Sampling for Probabilistic Logic Programs
2020 Azzolini, D.; Riguzzi, F.; Lamma, E.
Analyzing Transaction Fees with Probabilistic Logic Programming
2019 Azzolini, D.; Riguzzi, F.; Lamma, E.
Application Placement with Constraint Relaxation
2025 Azzolini, Damiano; Duca, Marco; Gallo, Francesco; Ielo, Antonio; Forti, Stefano
Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities
2023 Azzolini, Damiano; Bellodi, Elena; Riguzzi, Fabrizio
Benchmarking in Neuro-Symbolic AI
file con accesso da definire2026 Manhaeve, R.; Giannini, F.; Ali, M.; Azzolini, D.; Bizzarri, A.; Borghesi, A.; Bortolotti, S.; De Raedt, L.; Dhami, D.; Diligenti, M.; Dumancic, S.; Faltings, B.; Gentili, E.; Gerevini, A.; Gori, M.; Guns, T.; Homola, M.; Kersting, K.; Lehmann, J.; Lombardi, M.; Lorello, L.; Marconato, E.; Melacci, S.; Passerini, A.; Paul, D.; Riguzzi, F.; Teso, S.; Yorke-Smith, N.; Lippi, M.
Continuous reasoning for adaptive container image distribution in the cloud–edge continuum
2025 Azzolini, Damiano; Forti, Stefano; Ielo, Antonio
Evolutionary learning of probabilistic logic programs
2025 Azzolini, D.
Extensions and Applications of Probabilistic Logic Programming
2022 Azzolini, Damiano
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Brief Discussion about the Credal Semantics for Probabilistic Answer Set Programs | 2023 | Azzolini, D. | |
| A Comparison of MCMC Sampling for Probabilistic Logic Programming | 2019 | Azzolini, D.; Riguzzi, F.; Masotti, F.; Lamma, E. | |
| A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs | 2023 | Azzolini, D. | |
| A First Journey into the Complexity of Statistical Statements in Probabilistic Answer Set Programming | 2024 | Azzolini, Damiano; Markus, Hecher | |
| A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images | 2023 | Azzolini, D.; Bizzarri, A.; Fraccaroli, M.; Bertasi, F.; Lamma, E. | |
| A Novel Framework for Reasoning over Optimization Problems in Probabilistic Answer Set Programming | 2025 | Azzolini, Damiano; Mazzotta, Giuseppe; Ricca, Francesco; Riguzzi, Fabrizio | file con accesso da definire |
| A probabilistic logic model of Lightning Network | 2022 | Azzolini, Damiano; Riguzzi, Fabrizio; Bellodi, Elena; Lamma, Evelina | |
| A semantics for Hybrid Probabilistic Logic programs with function symbols | 2021 | Azzolini, D.; Riguzzi, F.; Lamma, E. | |
| Abduction in (Probabilistic) Answer Set Programming | 2022 | Azzolini, D.; Bellodi, E.; Riguzzi, F. | |
| Abduction in Probabilistic Logic Programs | 2022 | Azzolini, D.; Bellodi, E.; Ferilli, S.; Riguzzi, F.; Zese, R. | file con accesso da definire |
| Abduction with probabilistic logic programming under the distribution semantics | 2022 | Azzolini, D.; Bellodi, E.; Ferilli, S.; Riguzzi, F.; Zese, R. | |
| An Algebraic View of MAP Inference in Probabilistic Answer Set Programs | 2025 | Azzolini, D.; Mazzotta, G.; Ricca, F.; Riguzzi, F. | file con accesso da definire |
| An Analysis of Gibbs Sampling for Probabilistic Logic Programs | 2020 | Azzolini, D.; Riguzzi, F.; Lamma, E. | |
| Analyzing Transaction Fees with Probabilistic Logic Programming | 2019 | Azzolini, D.; Riguzzi, F.; Lamma, E. | |
| Application Placement with Constraint Relaxation | 2025 | Azzolini, Damiano; Duca, Marco; Gallo, Francesco; Ielo, Antonio; Forti, Stefano | |
| Approximate Inference in Probabilistic Answer Set Programming for Statistical Probabilities | 2023 | Azzolini, Damiano; Bellodi, Elena; Riguzzi, Fabrizio | |
| Benchmarking in Neuro-Symbolic AI | 2026 | Manhaeve, R.; Giannini, F.; Ali, M.; Azzolini, D.; Bizzarri, A.; Borghesi, A.; Bortolotti, S.; De... Raedt, L.; Dhami, D.; Diligenti, M.; Dumancic, S.; Faltings, B.; Gentili, E.; Gerevini, A.; Gori, M.; Guns, T.; Homola, M.; Kersting, K.; Lehmann, J.; Lombardi, M.; Lorello, L.; Marconato, E.; Melacci, S.; Passerini, A.; Paul, D.; Riguzzi, F.; Teso, S.; Yorke-Smith, N.; Lippi, M. | file con accesso da definire |
| Continuous reasoning for adaptive container image distribution in the cloud–edge continuum | 2025 | Azzolini, Damiano; Forti, Stefano; Ielo, Antonio | |
| Evolutionary learning of probabilistic logic programs | 2025 | Azzolini, D. | |
| Extensions and Applications of Probabilistic Logic Programming | 2022 | Azzolini, Damiano |