Fabrizio Ruffini

17 papers C 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning.
Mach. Learn.
Pietro Ducange, Francesco Marcelloni, Giustino Claudio Miglionico, Alessandro Renda, Fabrizio Ruffini
2025 — conf
An Explainable Brain Tumor Classification System based on Fuzzy Decision Trees.
FUZZ
Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Giustino Claudio Miglionico, Fabrizio Ruffini
2025 — conf
An Explainable Histopathological Nuclei Classification System Based on Fuzzy Decision Trees.
IJCCI (1)
Pietro Ducange, Masoume Gholizade, Francesco Marcelloni, Giustino Claudio Miglionico, Fabrizio Ruffini
2025 J jnl
Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability.
IEEE Access
Filiz Ersöz, Taner Ersöz, Francesco Marcelloni, Fabrizio Ruffini
2024 — conf
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering.
FUZZ
Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
2024 J jnl
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease.
Cogn. Comput.
Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
2024 J jnl
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data.
IEEE Access
Alessio Schiavo, Francesco Marcelloni, Pietro Ducange, Alessandro Renda, Fabrizio Ruffini, Renzo Dani
2023 J jnl
Enabling federated learning of explainable AI models within beyond-5G/6G networks.
Comput. Commun.
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo, Giovanni Stea, Antonio Virdis
2023 C conf
Experimental Assessment of Heterogeneous Fuzzy Regression Trees.
IJCCI
José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
2023 — conf
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression.
xAI (1)
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
2023 — conf
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks.
FUZZ
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo
2022 — conf
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models.
XAI.it@AI*IA
José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo
2022 — conf
Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks.
OLUD@WCCI
José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini
2020 — conf
One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants.
ISGT-Europe
Antonio Piazzi, Mauro Tucci, Fabrizio Ruffini, Emanuele Crisostomi
2019 J jnl
Condition monitoring and early diagnostics methodologies for hydropower plants.
CoRR
Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci
2019 J jnl
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach.
CoRR
Alessandro Betti, Maria Luisa Lo Trovato, Fabio Salvatore Leonardi, Giuseppe Leotta, Fabrizio Ruffini, Ciro Lanzetta
2013 — conf
Web tools for performance analysis and planning support for solar energy plants (PV, CSP, CPV) starting from remotely sensed optical images.
EnviroInfo
Marco Morelli, Fabrizio Ruffini, Andrea Masini, Marco Alberto Carlo Potenza