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Experimental Assessment of Heterogeneous Fuzzy Regression Trees., , , , , and . IJCCI, page 376-384. SCITEPRESS, (2023)Condition monitoring and early diagnostics methodologies for hydropower plants., , , , , and . CoRR, (2019)Predictive Maintenance in Photovoltaic Plants with a Big Data Approach., , , , , and . CoRR, (2019)One year Operation of an Innovative Condition Monitoring Technique in Four Hydropower Plants., , , and . ISGT-Europe, page 1176-1180. IEEE, (2020)Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models., , , , , , and . XAI.it@AI*IA, volume 3277 of CEUR Workshop Proceedings, page 104-117. CEUR-WS.org, (2022)Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression., , , , and . xAI (1), volume 1901 of Communications in Computer and Information Science, page 630-648. Springer, (2023)Web tools for performance analysis and planning support for solar energy plants (PV, CSP, CPV) starting from remotely sensed optical images., , , and . EnviroInfo, page 155-158. Shaker, (2013)Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks., , , , and . OLUD@WCCI, volume 3380 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Enabling federated learning of explainable AI models within beyond-5G/6G networks., , , , , , , , , and . Comput. Commun., (October 2023)Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks., , , , , and . FUZZ, page 1-8. IEEE, (2023)