Fabrizio Ruffini

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 10

Top Topics

Condition Monitoring

Schottky Barrier

Regression Trees

Top Venues

Publications

Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. FUZZ (2024)
José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Experimental Assessment of Heterogeneous Fuzzy Regression Trees. IJCCI (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks. FUZZ (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo, Giovanni Stea, Antonio Virdis
Enabling federated learning of explainable AI models within beyond-5G/6G networks. Comput. Commun. 210 (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. xAI (1) (2023)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. OLUD@WCCI (2022)
José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. XAI.it@AI*IA (2022)
Antonio Piazzi, Mauro Tucci, Fabrizio Ruffini, Emanuele Crisostomi
One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants. ISGT-Europe (2020)
Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci
Condition monitoring and early diagnostics methodologies for hydropower plants. CoRR (2019)
Alessandro Betti, Maria Luisa Lo Trovato, Fabio Salvatore Leonardi, Giuseppe Leotta, Fabrizio Ruffini, Ciro Lanzetta
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach. CoRR (2019)
Marco Morelli, Fabrizio Ruffini, Andrea Masini, Marco Alberto Carlo Potenza
Web tools for performance analysis and planning support for solar energy plants (PV, CSP, CPV) starting from remotely sensed optical images. EnviroInfo (2013)