Location: VIA G. CARUSO, 16, 56122 PISA
Email: jose.corcuera@ing.unipi.it
Profile
Teaching
Incarichi di co-docenza in moduli/insegnamenti
- Advanced Data Amining and Machine Learning (Modulo dell'insegnamento Data Mining and Machine Learning Cod. 878II) per Laurea Magistrale in Artificial intelligence and data engineering
- Advanced Data Amining and Machine Learning (Modulo dell'insegnamento Data Mining and Machine Learning Cod. 878II) per Laurea Magistrale in Artificial intelligence and data engineering
- Advanced Data Amining and Machine Learning (Modulo dell'insegnamento Data Mining and Machine Learning Cod. 878II) per Laurea Magistrale in Artificial intelligence and data engineering
Research
Publications
- Devising an actor-based middleware support to federated learning experiments and systems (Bechini, Alessio; Corcuera Bárcena, José Luis - 2025 - 1.1 Articolo in rivista)
- Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees (Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. - 2025 - 1.1 Articolo in rivista)
- Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data (Corcuera Barcena, J. L.; Marcelloni, F.; Renda, A.; Bechini, A.; Ducange, P. - 2024 - 1.1 Articolo in rivista)
- Experimental Assessment of Heterogeneous Fuzzy Regression Trees (Bárcena, José; Ducange, Pietro; Gallo, Riccardo; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio - 2023 - 4.1 Contributo in Atti di convegno)
- Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks (Corcuera Barcena, J. L.; Daole, M.; Ducange, P.; Marcelloni, F.; Nardini, G.; Renda, A.; Stea, G. - 2023 - 4.1 Contributo in Atti di convegno)
- Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks (Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio - 2023 - 4.1 Contributo in Atti di convegno)
- Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression (Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.; Ruffini, F. - 2023 - 4.1 Contributo in Atti di convegno)
- Enabling federated learning of explainable AI models within beyond-5G/6G networks (Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Nardini, Giovanni; Noferi, Alessandro; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio; Stea, Giovanni; Virdis, Antonio - 2023 - 1.1 Articolo in rivista)
- OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python (Daole, M.; Schiavo, A.; Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. - 2023 - 1.1 Articolo in rivista)
- Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks (CORCUERA BÁRCENA, JOSÉ LUIS; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio - 2022 - 4.1 Contributo in Atti di convegno)