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2020 – today
- 2024
[j3]Alessio Schiavo
, Francesco Marcelloni, Pietro Ducange, Alessandro Renda, Fabrizio Ruffini, Renzo Dani:
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data. IEEE Access 12: 162756-162768 (2024)- [j2]Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease. Cogn. Comput. 16(6): 3051-3076 (2024) - [c8]Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. FUZZ 2024: 1-10 - 2023
- [j1]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: 356-375 (2023) - [c7]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: 1-8 - [c6]José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Experimental Assessment of Heterogeneous Fuzzy Regression Trees. IJCCI 2023: 376-384 - [c5]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: 630-648 - 2022
- [c4]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: 104-117 - [c3]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 - 2020
- [c2]Antonio Piazzi, Mauro Tucci, Fabrizio Ruffini, Emanuele Crisostomi:
One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants. ISGT-Europe 2020: 1176-1180
2010 – 2019
- 2019
- [i2]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 abs/1901.10855 (2019) - [i1]Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci:
Condition monitoring and early diagnostics methodologies for hydropower plants. CoRR abs/1911.06242 (2019) - 2013
- [c1]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: 155-158
Coauthor Index
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