Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs. - Alessandro Renda; Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (LOD, 2018)

A Fuzzy Density-based Clustering Algorithm for Streaming Data. - Andrea Aliperti; Alessio Bechini; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2019)

Monitoring the public opinion about the vaccination topic from tweets analysis. - Eleonora D'Andrea; Pietro Ducange; Alessio Bechini; Alessandro Renda; Francesco Marcelloni (Expert Syst. Appl., 2019)

Comparing ensemble strategies for deep learning: An application to facial expression recognition. - Alessandro Renda; Marco Barsacchi; Alessio Bechini; Francesco Marcelloni (Expert Syst. Appl., 2019)

FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning. - Alessio Bechini; Martina Criscione; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ-IEEE, 2020)

XAI Models for Quality of Experience Prediction in Wireless Networks. - Alessandro Renda; Pietro Ducange; Gionatan Gallo; Francesco Marcelloni (FUZZ-IEEE, 2021)

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)

Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application. - Alessio Bechini; Alessandro Bondielli; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (IEEE Access, 2021)

Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy. - Alessio Bechini; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (IEEE Intell. Syst., 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)

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy. - Alessandro Bondielli; Giuseppe Cancello Tortora; Pietro Ducange; Armando Macri; Francesco Marcelloni; Alessandro Renda (EAIS, 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)

Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. - Miltiadis C. Filippou; Vasiliki Lamprousi; Jafar Mohammadi; Mattia Merluzzi; Elif Ustundag Soykan; Tamás Borsos; Nandana Rajatheva; Nuwanthika Rajapaksha; Luc Le Magoarou; Pietro Piscione; András Benczúr; Quentin Lampin; et al. (AI6G@WCCI, 2022)

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking. - Alessandro Renda; Pietro Ducange; Francesco Marcelloni; Dario Sabella; Miltiadis C. Filippou; Giovanni Nardini; Giovanni Stea; Antonio Virdis; Davide Micheli; Damiano Rapone; Leonardo Gomes Baltar (Inf., 2022)

TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams. - Alessio Bechini; Francesco Marcelloni; Alessandro Renda (IEEE Trans. Fuzzy Syst., 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)

An Application for Federated Learning of XAI Models in Edge Computing Environments. - Alessio Bechini; Mattia Daole; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (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)

Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project. - Pietro Ducange; Francesco Marcelloni; Davide Micheli; Giovanni Nardini; Alessandro Renda; Dario Sabella; Giovanni Stea; Antonio Virdis (Ital-IA, 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)

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G. - Mattia Merluzzi; Tamás Borsos; Nandana Rajatheva; András A. Benczúr; Hamed Farhadi; Taha Yassine; Markus Dominik Mueck; Sokratis Barmpounakis; Emilio Calvanese Strinati; Dilin Dampahalage; Panagiotis Demestichas; Pietro Ducange; et al. (IEEE Access, 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)

XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images. - Mattia Daole; Pietro Ducange; Francesco Marcelloni; Giustino Claudio Miglionico; Alessandro Renda; Alessio Schiavo (EXPLAINS, 2024)

Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers. - Mattia Daole; Pietro Ducange; Francesco Marcelloni; Alessandro Renda (FUZZ, 2024)

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)

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)

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)