Web tools for performance analysis and planning support for solar energy plants (PV, CSP, CPV) starting from remotely sensed optical images. - Marco Morelli; Fabrizio Ruffini; Andrea Masini; Marco Alberto Carlo Potenza (EnviroInfo, 2013)

Predictive Maintenance in Photovoltaic Plants with a Big Data Approach. - Alessandro Betti; Maria Luisa Lo Trovato; Fabio Salvatore Leonardi; Giuseppe Leotta; Fabrizio Ruffini; Ciro Lanzetta (CoRR, 2019)

Condition monitoring and early diagnostics methodologies for hydropower plants. - Alessandro Betti; Emanuele Crisostomi; Gianluca Paolinelli; Antonio Piazzi; Fabrizio Ruffini; Mauro Tucci (CoRR, 2019)

One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants. - Antonio Piazzi; Mauro Tucci; Fabrizio Ruffini; Emanuele Crisostomi (ISGT-Europe, 2020)

Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. - José Luis Corcuera Bárcena; Mattia Daole; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini; Alessio Schiavo (XAI.it@AI*IA, 2022)

Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (OLUD@WCCI, 2022)

Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini; Alessio Schiavo (FUZZ, 2023)

Experimental Assessment of Heterogeneous Fuzzy Regression Trees. - José Luis Corcuera Bárcena; Pietro Ducange; Riccardo Gallo; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (IJCCI, 2023)

Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (xAI (1), 2023)

Enabling federated learning of explainable AI models within beyond-5G/6G networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Giovanni Nardini; Alessandro Noferi; Alessandro Renda; Fabrizio Ruffini; Alessio Schiavo; Giovanni Stea; Antonio Virdis (Comput. Commun., 2023)

Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. - Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (FUZZ, 2024)

On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data. - Alessio Schiavo; Francesco Marcelloni; Pietro Ducange; Alessandro Renda; Fabrizio Ruffini; Renzo Dani (IEEE Access, 2024)

Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease. - Pietro Ducange; Francesco Marcelloni; Alessandro Renda; Fabrizio Ruffini (Cogn. Comput., 2024)

Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability. - Filiz Ersöz; Taner Ersöz; Francesco Marcelloni; Fabrizio Ruffini (IEEE Access, 2025)