Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome. - Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (SMARTCOMP, 2021)

A federated fuzzy c-means clustering algorithm. - José Luis Corcuera Bárcena; Francesco Marcelloni; Alessandro Renda; Alessio Bechini; Pietro Ducange (WILF, 2021)

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)

An Approach to Federated Learning of Explainable Fuzzy Regression Models. - José Luis Corcuera Bárcena; Pietro Ducange; Alessio Ercolani; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2022)

Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis. - Alessio Bechini; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2022)

Towards Trustworthy AI for QoE prediction in B5G/6G Networks. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Giovanni Nardini; Alessandro Noferi; Alessandro Renda; Giovanni Stea; Antonio Virdis (AI6G@WCCI, 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)

A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting. - Alessio Bechini; Alessandro Bondielli; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (ACM Trans. Knowl. Discov. Data, 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: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks. - José Luis Corcuera Bárcena; Mattia Daole; Pietro Ducange; Francesco Marcelloni; Giovanni Nardini; Alessandro Renda; Giovanni Stea (xAI (Late-breaking Work, Demos, Doctoral Consortium), 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)

OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python. - Mattia Daole; Alessio Schiavo; José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (SoftwareX, 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)

Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data. - José Luis Corcuera Bárcena; Francesco Marcelloni; Alessandro Renda; Alessio Bechini; Pietro Ducange (IEEE Trans. Artif. Intell., 2024)

Devising an actor-based middleware support to federated learning experiments and systems. - Alessio Bechini; José Luis Corcuera Bárcena (Future Gener. Comput. Syst., 2025)

Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees. - José Luis Corcuera Bárcena; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (Inf. Fusion, 2025)