José Luis Corcuera Bárcena

Orcid: 0000-0002-9984-1904

According to our database1, José Luis Corcuera Bárcena authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees.
Inf. Fusion, 2025

2023
Enabling federated learning of explainable AI models within beyond-5G/6G networks.
Comput. Commun., October, 2023

OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python.
SoftwareX, July, 2023

Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression.
Proceedings of the Explainable Artificial Intelligence, 2023

Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Experimental Assessment of Heterogeneous Fuzzy Regression Trees.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting.
ACM Trans. Knowl. Discov. Data, 2022

Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks.
Proceedings of the First Workshop on Online Learning from Uncertain Data Streams (OLUD 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI 2022), 2022

Towards Trustworthy AI for QoE prediction in B5G/6G Networks.
Proceedings of the Short Paper Proceedings of the First International Workshop on Artificial Intelligence in Beyond 5G and 6G Wireless Networks (AI6G 2022) co-located with IEEE World Congress on Computational Intelligence (WCCI2022), 2022

Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

An Approach to Federated Learning of Explainable Fuzzy Regression Models.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models.
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021
A federated fuzzy c-means clustering algorithm.
Proceedings of WILF 2021, 2021

Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome.
Proceedings of the IEEE International Conference on Smart Computing, 2021


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