publications

2025

1. FGCS

   Devising an Actor-based Middleware Support to Federated Learning Experiments and Systems

   A. Bechini and J.L Corcuera Bárcena

   Future Generation Computer Systems, 2025

   DOI Bib

   @article{bechini2025devising,
     title = {Devising an Actor-based Middleware Support to Federated Learning Experiments and Systems},
     author = {Bechini, A. and Corcuera Bárcena, J.L},
     journal = {Future Generation Computer Systems},
     year = {2025},
     volume = {166},
     pages = {107646},
     publisher = {Elsevier},
     doi = {10.1016/j.future.2024.107646},
     url = {https://www.sciencedirect.com/science/article/pii/S0167739X24006101},
   }

2. INFFUS

   Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees

   J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, and 1 more author

   Information Fusion, 2025

   DOI Bib

   @article{corcuera2025increasing,
     title = {Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A.},
     journal = {Information Fusion},
     volume = {113},
     year = {2025},
     publisher = {Elsevier},
     doi = {10.1016/j.inffus.2024.102598},
     url = {https://www.sciencedirect.com/science/article/pii/S1566253524003762},
   }

2024

1. IEEE TAI

   Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data

   J.L. Corcuera Bárcena, F. Marcelloni, A. Renda, and 2 more authors

   IEEE Transactions on Artificial Intelligence, 2024

   DOI Bib

   @article{corcuera2024federated,
     title = {Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data},
     author = {Corcuera Bárcena, J.L. and Marcelloni, F. and Renda, A. and Bechini, A. and Ducange, P.},
     journal = {IEEE Transactions on Artificial Intelligence},
     year = {2024},
     pages = {1--15},
     publisher = {IEEE},
     doi = {10.1109/TAI.2024.3426408},
     url = {https://ieeexplore.ieee.org/document/10595840},
   }

2023

1. SoftwareX

   OpenFL-XAI: Federated Learning of Explainable Artificial Intelligence Models in Python

   D. Mattia, A. Schiavo, J.L. Corcuera Bárcena, and 3 more authors

   SoftwareX, 2023

   DOI Bib

   @article{mattia2023openfl,
     title = {OpenFL-XAI: Federated Learning of Explainable Artificial Intelligence Models in Python},
     author = {Mattia, D. and Schiavo, A. and Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A.},
     journal = {SoftwareX},
     volume = {23},
     pages = {101505},
     year = {2023},
     publisher = {Elsevier},
     doi = {10.1016/j.softx.2023.101505},
     url = {https://www.softxjournal.com/article/S2352-7110(23)00201-7/fulltext},
   }

2. ComCom

   Enabling federated learning of explainable AI models within beyond-5G/6G networks

   J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, and 7 more authors

   Computer Communications, 2023

   DOI Bib

   @article{corcuera2023enabling,
     title = {Enabling federated learning of explainable AI models within beyond-5G/6G networks},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Nardini, G. and Noferi, A. and Renda, A. and Ruffini, F. and Schiavo, A. and Stea, G. and Virdis, A.},
     journal = {Computer Communications},
     volume = {210},
     pages = {356--375},
     year = {2023},
     publisher = {Elsevier},
     doi = {10.1016/j.comcom.2023.07.039},
     url = {https://www.sciencedirect.com/science/article/pii/S0140366423002724},
   }

3. IJCCI

   Experimental Assessment of Heterogeneous Fuzzy Regression Trees

   J.L. Corcuera Bárcena, P. Ducange, R. Gallo, and 3 more authors

   In International Joint Conference on Computational Intelligence, 2023

   DOI Bib

   @inproceedings{corcuera2023experimental,
     title = {Experimental Assessment of Heterogeneous Fuzzy Regression Trees},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Gallo, R. and Marcelloni, F. and Renda, A. and Ruffini, F.},
     booktitle = {International Joint Conference on Computational Intelligence},
     pages = {376--384},
     year = {2023},
     doi = {10.5220/0012231000003595},
     url = {https://www.scitepress.org/Link.aspx?doi=10.5220/0012231000003595},
   }

4. xAI

   Federated learning of explainable artificial intelligence models for predicting parkinson’s disease progression

   J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, and 2 more authors

   In Explainable Artificial Intelligence, 2023

   DOI Bib

   @incollection{corcuera2023federated_parkinsons,
     title = {Federated learning of explainable artificial intelligence models for predicting parkinson's disease progression},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A. and Ruffini, F.},
     booktitle = {Explainable Artificial Intelligence},
     editor = {Longo, Luca},
     pages = {630--648},
     year = {2023},
     publisher = {Springer Nature Switzerland},
     address = {Cham},
     doi = {10.1007/978-3-031-44064-9_34},
   }

5. xAI

   Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks

   J.L. Corcuera Bárcena, M. Daole, P. Ducange, and 4 more authors

   In Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), 2023

   Bib

   @inproceedings{corcuera2023federated_video,
     title = {Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks},
     author = {Corcuera Bárcena, J.L. and Daole, M. and Ducange, P. and Marcelloni, F. and Nardini, G. and Renda, A. and Stea, G.},
     booktitle = {Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023)},
     volume = {3554},
     pages = {164--168},
     year = {2023},
     url = {https://ceur-ws.org/Vol-3554/paper29.pdf},
   }

6. FUZZ-IEEE

   Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks

   J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, and 3 more authors

   In IEEE International Conference on Fuzzy Systems, 2023

   DOI Bib

   @inproceedings{corcuera2023federated_tsk,
     title = {Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A. and Ruffini, F. and Schiavo, A.},
     booktitle = {IEEE International Conference on Fuzzy Systems},
     year = {2023},
     doi = {10.1109/FUZZ52849.2023.10309758},
     url = {https://ieeexplore.ieee.org/document/10309758},
   }

2022

1. ACM TKDD

   A News-based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting

   A. Bechini, A. Bondielli, J.L. Corcuera Bárcena, and 3 more authors

   ACM Transactions on Knowledge Discovery from Data, Jul 2022

   DOI Bib

   @article{bechini2022news,
     title = {A News-based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting},
     author = {Bechini, A. and Bondielli, A. and Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A.},
     journal = {ACM Transactions on Knowledge Discovery from Data},
     volume = {16},
     number = {6},
     year = {2022},
     month = jul,
     publisher = {ACM},
     doi = {10.1145/3532186},
     url = {https://doi.org/10.1145/3532186},
   }

2. XAI.it

   Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models

   J.L. Corcuera Bárcena, M. Daole, P. Ducange, and 4 more authors

   In XAI.it 2022, the 3rd Italian Workshop on Explainable Artificial Intelligence, 2022

   Bib

   @inproceedings{corcuera2022fedxai,
     title = {Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models},
     author = {Corcuera Bárcena, J.L. and Daole, M. and Ducange, P. and Marcelloni, F. and Renda, A. and Ruffini, F. and Schiavo, A.},
     booktitle = {XAI.it 2022, the 3rd Italian Workshop on Explainable Artificial Intelligence},
     year = {2022},
     url = {https://ceur-ws.org/Vol-3277/paper8.pdf},
   }

3. FUZZ-IEEE

   Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis

   A. Bechini, J.L. Corcuera Bárcena, P. Ducange, and 2 more authors

   In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022

   DOI Bib

   @inproceedings{bechini2022increasing,
     title = {Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis},
     author = {Bechini, A. and Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A.},
     booktitle = {2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
     pages = {1--8},
     year = {2022},
     doi = {10.1109/FUZZ-IEEE55066.2022.9882604},
   }

4. FUZZ-IEEE

   An Approach to Federated Learning of Explainable Fuzzy Regression Models

   J.L. Corcuera Bárcena, P. Ducange, A. Ercolani, and 2 more authors

   In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022

   DOI Bib

   @inproceedings{corcuera2022approach,
     title = {An Approach to Federated Learning of Explainable Fuzzy Regression Models},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Ercolani, A. and Marcelloni, F. and Renda, A.},
     booktitle = {2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
     pages = {1--8},
     year = {2022},
     doi = {10.1109/FUZZ-IEEE55066.2022.9882881},
   }

5. OLUD

   Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks

   J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, and 2 more authors

   In First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022), 2022

   DOI Bib

   @inproceedings{corcuera2022hoeffding,
     title = {Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A. and Ruffini, F.},
     booktitle = {First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022)},
     year = {2022},
     doi = {10.5281/zenodo.7024541},
   }

6. AI6G

   Towards Trustworthy AI for QoE prediction in B5G/6G Networks

   J.L. Corcuera Bárcena, P. Ducange, F. Marcelloni, and 5 more authors

   In 1st Int’l WS on Artificial Intelligence in beyond 5G and 6G Wireless Networks - AI6G2022, 2022

   DOI Bib

   @inproceedings{corcuera2022towards,
     title = {Towards Trustworthy AI for QoE prediction in B5G/6G Networks},
     author = {Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Nardini, G. and Noferi, A. and Renda, A. and Stea, G. and Virdis, A.},
     booktitle = {1st Int'l WS on Artificial Intelligence in beyond 5G and 6G Wireless Networks - AI6G2022},
     volume = {3189},
     pages = {1--9},
     year = {2022},
     doi = {10.5281/zenodo.7024525},
     url = {http://ceur-ws.org/Vol-3189/paper_07.pdf},
   }

2021

1. WILF

   A Federated Fuzzy c-means Clustering Algorithm

   J.L. Corcuera Bárcena, F. Marcelloni, A. Renda, and 2 more authors

   In WILF’21: The 13th International Workshop on Fuzzy Logic and Applications, 2021

   DOI Bib

   @inproceedings{corcuera2021federated,
     title = {A Federated Fuzzy c-means Clustering Algorithm},
     author = {Corcuera Bárcena, J.L. and Marcelloni, F. and Renda, A. and Bechini, A. and Ducange, P.},
     booktitle = {WILF’21: The 13th International Workshop on Fuzzy Logic and Applications},
     year = {2021},
     doi = {10.5281/zenodo.5962365},
     url = {http://ceur-ws.org/Vol-3074/paper08.pdf},
   }

2. SMARTCOMP

   Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome

   A. Bechini, A. Bondielli, J.L. Corcuera Bárcena, and 3 more authors

   In 2021 IEEE International Conference on Smart Computing (SMARTCOMP), 2021

   DOI Bib

   @inproceedings{bechini2021mining,
     title = {Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome},
     author = {Bechini, A. and Bondielli, A. and Corcuera Bárcena, J.L. and Ducange, P. and Marcelloni, F. and Renda, A.},
     booktitle = {2021 IEEE International Conference on Smart Computing (SMARTCOMP)},
     pages = {317--322},
     year = {2021},
     doi = {10.1109/SMARTCOMP52413.2021.00066},
   }