| Monitoring the public opinion about the vaccination topic from tweets analysis E D'Andrea, P Ducange, A Bechini, A Renda, F Marcelloni Expert Systems with Applications 116, 209-226, 2019 | 192 | 2019 |
| Comparing ensemble strategies for deep learning: An application to facial expression recognition A Renda, M Barsacchi, A Bechini, F Marcelloni Expert Systems with Applications 136, 1-11, 2019 | 72 | 2019 |
| Federated learning of explainable AI models in 6G systems: Towards secure and automated vehicle networking A Renda, P Ducange, F Marcelloni, D Sabella, MC Filippou, G Nardini, ... Information 13 (8), 395, 2022 | 70 | 2022 |
| TSF-DBSCAN: A novel fuzzy density-based approach for clustering unbounded data streams A Bechini, F Marcelloni, A Renda IEEE Transactions on Fuzzy Systems 30 (3), 623-637, 2020 | 50 | 2020 |
| Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. JLC Bárcena, M Daole, P Ducange, F Marcelloni, A Renda, F Ruffini, ... XAI. it@ AI* IA, 104-117, 2022 | 31 | 2022 |
| Addressing event-driven concept drift in twitter stream: a stance detection application A Bechini, A Bondielli, P Ducange, F Marcelloni, A Renda IEEE Access 9, 77758-77770, 2021 | 30 | 2021 |
| An approach to federated learning of explainable fuzzy regression models JLC Bárcena, P Ducange, A Ercolani, F Marcelloni, A Renda 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 29 | 2022 |
| Stance analysis of twitter users: the case of the vaccination topic in italy A Bechini, P Ducange, F Marcelloni, A Renda IEEE Intelligent Systems 36 (5), 131-139, 2020 | 25 | 2020 |
| XAI models for quality of experience prediction in wireless networks A Renda, P Ducange, G Gallo, F Marcelloni 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 24 | 2021 |
| Enabling federated learning of explainable AI models within beyond-5G/6G networks JLC Bárcena, P Ducange, F Marcelloni, G Nardini, A Noferi, A Renda, ... Computer Communications 210, 356-375, 2023 | 23 | 2023 |
| The hexa-x project vision on artificial intelligence and machine learning-driven communication and computation co-design for 6g M Merluzzi, T Borsos, N Rajatheva, AA Benczúr, H Farhadi, T Yassine, ... IEEE Access 11, 65620-65648, 2023 | 22 | 2023 |
| Pervasive AI in next generation wireless: The Hexa-X project perspective M Filippou, V Lamprousi, J Mohammadi, M Merluzzi, EU Soykan, ... IEEE WCCl 2022-First International Workshop on Artificial Intelligence in …, 2022 | 13* | 2022 |
| Towards trustworthy AI for QoE prediction in B5G/6G networks JL CORCUERA BÁRCENA, P Ducange, F Marcelloni, G Nardini, A Noferi, ... CEUR WORKSHOP PROCEEDINGS 3189, 2022 | 12 | 2022 |
| A federated fuzzy c-means clustering algorithm JL Corcuera Bárcena, F Marcelloni, A Renda, A Bechini, P Ducange CEUR WORKSHOP PROCEEDINGS 3074, 1-9, 2021 | 10 | 2021 |
| OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python M Daole, A Schiavo, JLC Bárcena, P Ducange, F Marcelloni, A Renda SoftwareX 23, 101505, 2023 | 7 | 2023 |
| Increasing accuracy and explainability in fuzzy regression trees: An experimental analysis A Bechini, JLC Bárcena, P Ducange, F Marcelloni, A Renda 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 7 | 2022 |
| An application for federated learning of XAI models in edge computing environments A Bechini, M Daole, P Ducange, F Marcelloni, A Renda 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-7, 2023 | 6 | 2023 |
| A fuzzy density-based clustering algorithm for streaming data A Aliperti, A Bechini, F Marcelloni, A Renda 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019 | 6 | 2019 |
| Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees JLC Bárcena, P Ducange, F Marcelloni, A Renda Information Fusion 113, 102598, 2025 | 5 | 2025 |
| Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease P Ducange, F Marcelloni, A Renda, F Ruffini Cognitive Computation 16 (6), 3051-3076, 2024 | 5 | 2024 |
Francesco MarcelloniProfessor of Data Mining and Machine Learning, University of Pisa, Circle U. AllianceEmail verificata su unipi.it
