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ORCIDPietro Ducange
- > Home > Persons > Pietro Ducange
Publications
- 2023
[j34]José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo, Giovanni Stea, Antonio Virdis:
Enabling federated learning of explainable AI models within beyond-5G/6G networks. Comput. Commun. 210: 356-375 (2023)- [j32]Mattia Daole, Alessio Schiavo, José Luis Corcuera Bárcena
, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python. SoftwareX 23: 101505 (2023) - [c56]José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo:
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks. FUZZ 2023: 1-8 - [c53]José Luis Corcuera Bárcena, Pietro Ducange, Riccardo Gallo, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Experimental Assessment of Heterogeneous Fuzzy Regression Trees. IJCCI 2023: 376-384 - [c51]José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Renda, Giovanni Stea:
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 164-168 - [c50]José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. xAI (1) 2023: 630-648 - 2022
- [j29]Alessio Bechini, Alessandro Bondielli, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting. ACM Trans. Knowl. Discov. Data 16(6): 125:1-125:29 (2022) - [c49]José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo:
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models. XAI.it@AI*IA 2022: 104-117 - [c46]José Luis Corcuera Bárcena, Pietro Ducange, Alessio Ercolani, Francesco Marcelloni, Alessandro Renda:
An Approach to Federated Learning of Explainable Fuzzy Regression Models. FUZZ-IEEE 2022: 1-8 - [c45]Alessio Bechini, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis. FUZZ-IEEE 2022: 1-8 - [c42]José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Noferi, Alessandro Renda, Giovanni Stea, Antonio Virdis:
Towards Trustworthy AI for QoE prediction in B5G/6G Networks. AI6G@WCCI 2022 - [c41]José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks. OLUD@WCCI 2022 - 2021
- [c35]Alessio Bechini, Alessandro Bondielli, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Mining the Stream of News for City Areas Profiling: a Case Study for the City of Rome. SMARTCOMP 2021: 317-322 - [c34]José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange:
A federated fuzzy c-means clustering algorithm. WILF 2021
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