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Machine Learning Approaches for the Prediction of Gas Turbine Transients
NGUEMBANG FADJA, Arnaud; Cota, Giuseppe; Bertasi, Francesco; Riguzzi, Fabrizio; Losi, Enzo; Manservigi, Lucrezia; Venturini, Mauro; Bechini, Giovanni     details >>
JOURNAL OF COMPUTER SCIENCE
Vol. 20, No. 5, pp: 495-510, Anno: 2024

Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers
Greco, Salvatore; Salatiello, Alessandro; Fabbri, Nicolò; Riguzzi, Fabrizio; Locorotondo, Emanuele; Spaggiari, Riccardo; DE GIORGI, Alfredo; Passaro, Angelina     details >>
BIOMEDICINES
Vol. 11, No. 3, pp: 831-1-831-18, Anno: 2023

Lifted inference for statistical statements in probabilistic answer set programming
Azzolini, D.; Riguzzi, F.     details >>
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Vol. 163, No. 1, pp: 109040-109056, Anno: 2023

Prediction of Gas Turbine Trip: A Novel Methodology Based on Random Forest Models
Losi, Enzo; Venturini, Mauro; Manservigi, Lucrezia; Ceschini Giuseppe, Fabio; Bechini, Giovanni; Cota, Giuseppe; Riguzzi, Fabrizio     details >>
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER
Vol. 144, No. 3, pp: 031025-1-031025-13, Anno: 2022

Probabilistic Logic Models for the Lightning Network
Azzolini, D.; Riguzzi, F.     details >>
CRYPTOGRAPHY
Vol. 6, No. 2, pp: 29-1-29-21, Anno: 2022

Abduction with probabilistic logic programming under the distribution semantics
Azzolini, D.; Bellodi, E.; Ferilli, S.; Riguzzi, F.; Zese, R.     details >>
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Vol. 142, No. 1, pp: 41-63, Anno: 2022

Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters
Fraccaroli, M.; Lamma, E.; Riguzzi, F.     details >>
SOFTWAREX
Vol. 17, No. 1, pp: 100957-1-100957-7, Anno: 2022

Symbolic DNN-Tuner
Fraccaroli, M.; Lamma, E.; Riguzzi, F.     details >>
MACHINE LEARNING
Vol. 111, No. 2, pp: 625-650, Anno: 2022

A Machine Learning Framework for Multi-Hazard Risk Assessment at the Regional Scale in Earthquake and Flood-Prone Areas
Rocchi, A.; Chiozzi, A.; Nale, M.; Nikolic, Z.; Riguzzi, F.; Mantovan, L.; Gilli, A.; Benvenuti, E.     details >>
APPLIED SCIENCES
Vol. 12, No. 2, pp: 583-1-583-17, Anno: 2022

Probabilistic inductive constraint logic
Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo; Alberti, Marco; Lamma, Evelina     details >>
MACHINE LEARNING
Vol. 110, No. 4, pp: 723-754, Anno: 2021

Identification of natural selection in genomic data with deep convolutional neural network
Nguembang Fadja, A.; Riguzzi, F.; Bertorelle, G.; Trucchi, E.     details >>
BIODATA MINING
Vol. 14, No. 1, pp: 51-1-51-18, Anno: 2021

Structured Methodology for Clustering Gas Turbine Transients by Means of Multivariate Time Series
Losi, E.; Venturini, M.; Manservigi, L.; Ceschini, G. F.; Bechini, G.; Cota, G.; Riguzzi, F.     details >>
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER
Vol. 143, No. 3, pp: 031014-1-031014-13, Anno: 2021

Nonground Abductive Logic Programming with Probabilistic Integrity Constraints
Bellodi, E.; Gavanelli, M.; Zese, R.; Lamma, E.; Riguzzi, F.     details >>
THEORY AND PRACTICE OF LOGIC PROGRAMMING
Vol. 21, No. 5, pp: 557-574, Anno: 2021

A semantics for Hybrid Probabilistic Logic programs with function symbols
Azzolini, D.; Riguzzi, F.; Lamma, E.     details >>
ARTIFICIAL INTELLIGENCE
Vol. 294, No. 1, pp: 103452-1-103452-23, Anno: 2021

Learning hierarchical probabilistic logic programs
Nguembang Fadja, A.; Riguzzi, F.; Lamma, E.     details >>
MACHINE LEARNING
Vol. 110, No. 7, pp: 1637-1693, Anno: 2021

Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling
Chesani, F.; Cota, G.; Gavanelli, M.; Lamma, E.; Mello, P.; Riguzzi, F.     details >>
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Vol. 95, No. 1, pp: 103861-1-103861-11, Anno: 2020

MAP Inference for Probabilistic Logic Programming
Bellodi, E.; Alberti, M.; Riguzzi, F.; Zese, R.     details >>
THEORY AND PRACTICE OF LOGIC PROGRAMMING
Vol. 20, No. 5, pp: 641-655, Anno: 2020

Dischargeable Obligations in the ScIFF Framework
Alberti, M.; Gavanelli, M.; Lamma, E.; Riguzzi, F.; Satoh, K.; Zese, R.     details >>
FUNDAMENTA INFORMATICAE
Vol. 176, No. 3-4, pp: 321-348, Anno: 2020

Editorial: Statistical relational artificial intelligence
Riguzzi, F.; Kersting, K.; Lippi, M.; Natarajan, S.     details >>
FRONTIERS IN ROBOTICS AND AI
Vol. 6, No. 1, pp: 68-69, Anno: 2019

Lifted discriminative learning of probabilistic logic programs
Nguembang Fadja, A.; Riguzzi, F.     details >>
MACHINE LEARNING
Vol. 108, No. 7, pp: 1111-1135, Anno: 2019

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