Fabrizio Ruffini

According to our database, Fabrizio Ruffini authored at least 17 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning.

Pietro Ducange, Francesco Marcelloni, Giustino Claudio Miglionico, Alessandro Renda, Fabrizio Ruffini

Mach. Learn., February, 2026

2025

Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability.

Filiz Ersöz, Taner Ersöz, Francesco Marcelloni, Fabrizio Ruffini

IEEE Access, 2025

An Explainable Histopathological Nuclei Classification System Based on Fuzzy Decision Trees.

Pietro Ducange, Masoume Gholizade, Francesco Marcelloni, Giustino Claudio Miglionico, Fabrizio Ruffini

Proceedings of the Computational Intelligence - 17th International Joint Conference, 2025

An Explainable Brain Tumor Classification System based on Fuzzy Decision Trees.

Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Giustino Claudio Miglionico, Fabrizio Ruffini

Proceedings of the IEEE International Conference on Fuzzy Systems, 2025

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., November, 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

Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering.

Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

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., October, 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

Proceedings of the Explainable Artificial Intelligence, 2023

Experimental Assessment of Heterogeneous Fuzzy Regression Trees.

José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

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

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

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

Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

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

Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2020

One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants.

Antonio Piazzi, Mauro Tucci, Fabrizio Ruffini, Emanuele Crisostomi

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

2019

Condition monitoring and early diagnostics methodologies for hydropower plants.

Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci

CoRR, 2019

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

2013

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

Proceedings of the 27th International Conference on Environmental Informatics for Environmental Protection, 2013