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 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 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
Fast Inference for Probabilistic Answer Set Programs Via the Residual Program
2025 Azzolini, D.; Riguzzi, F.
Inference in Probabilistic Answer Set Programming Under the Credal Semantics
2023 Azzolini, Damiano; Riguzzi, Fabrizio
| 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 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 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 | |
| Fast Inference for Probabilistic Answer Set Programs Via the Residual Program | 2025 | Azzolini, D.; Riguzzi, F. | |
| Inference in Probabilistic Answer Set Programming Under the Credal Semantics | 2023 | Azzolini, Damiano; Riguzzi, Fabrizio |