| 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 | 30 | 2022 |
| 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 | 30 | 2022 |
| 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 | 20 | 2023 |
| Towards Trustworthy AI for QoE prediction in B5G/6G Networks. JLC Bárcena, P Ducange, F Marcelloni, G Nardini, A Noferi, A Renda, ... AI6G@ WCCI, 2022 | 12 | 2022 |
| A federated fuzzy c-means clustering algorithm. JLC Bárcena, F Marcelloni, A Renda, A Bechini, P Ducange WILF, 2021 | 9 | 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 |
| 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 | 4 | 2025 |
| Federated TSK models for predicting quality of experience in B5G/6G networks JLC Bárcena, P Ducange, F Marcelloni, A Renda, F Ruffini, A Schiavo 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-8, 2023 | 3 | 2023 |
| Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression JLC Bárcena, P Ducange, F Marcelloni, A Renda, F Ruffini World Conference on Explainable Artificial Intelligence, 630-648, 2023 | 3 | 2023 |
| A news-based framework for uncovering and tracking city area profiles: assessment in Covid-19 setting A Bechini, A Bondielli, JLC Bárcena, P Ducange, F Marcelloni, A Renda ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-29, 2022 | 3 | 2022 |
| Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. JLC Bárcena, P Ducange, F Marcelloni, A Renda, F Ruffini OLUD@ WCCI, 2022 | 3 | 2022 |
| Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data JLC Bárcena, F Marcelloni, A Renda, A Bechini, P Ducange IEEE Transactions on Artificial Intelligence, 2024 | 1 | 2024 |
| Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome A Bechini, A Bondielli, JLC Bárcena, P Ducange, F Marcelloni, A Renda 2021 IEEE International Conference on Smart Computing (SMARTCOMP), 317-322, 2021 | 1 | 2021 |
| Devising an actor-based middleware support to federated learning experiments and systems A Bechini, JLC Bárcena Future Generation Computer Systems 166, 107646, 2025 | | 2025 |
| NEW APPROACHES TO LEARNING OF TRUSTWORTHY AI SYSTEMS IN CLUSTERING AND PREDICTION PROBLEMS JLC BÁRCENA | | 2024 |
| Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks JLC Bárcena, M Daole, P Ducange, F Marcelloni, G Nardini, A Renda, ... CEUR WORKSHOP PROCEEDINGS 3554, 164-168, 2023 | | 2023 |
| Experimental Assessment of Heterogeneous Fuzzy Regression Trees. JLC Bárcena, P Ducange, R Gallo, F Marcelloni, A Renda, F Ruffini IJCCI, 376-384, 2023 | | 2023 |
| Fake News Detection through density-based data stream clustering JLC BARCENA | | 2020 |
Francesco MarcelloniProfessor of Data Mining and Machine Learning, University of PisaEmail verificata su unipi.it