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ORCIDAlessandro Renda
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2020 – today
- 2025
[j14]José Luis Corcuera Bárcena
, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees. Inf. Fusion 113: 102598 (2025)- 2024
- [j13]Alessio Schiavo, Francesco Marcelloni, Pietro Ducange, Alessandro Renda, Fabrizio Ruffini, Renzo Dani:
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data. IEEE Access 12: 162756-162768 (2024) - [j12]Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson's Disease. Cogn. Comput. 16(6): 3051-3076 (2024) - [j11]José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange:
Federated $c$-Means and Fuzzy $c$-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data. IEEE Trans. Artif. Intell. 5(12): 6426-6441 (2024) - [c22]Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giustino Claudio Miglionico, Alessandro Renda, Alessio Schiavo:
XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images. EXPLAINS 2024: 27-37 - [c21]Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers. FUZZ 2024: 1-9 - [c20]Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering. FUZZ 2024: 1-10 - 2023
- [j10]Mattia Merluzzi, Tamás Borsos, Nandana Rajatheva, András A. Benczúr, Hamed Farhadi, Taha Yassine, Markus Dominik Mueck, Sokratis Barmpounakis, Emilio Calvanese Strinati, Dilin Dampahalage, Panagiotis Demestichas, Pietro Ducange, Miltiadis C. Filippou, Leonardo Gomes Baltar, Johan Haraldson, Leyli Karaçay, Dani Korpi, Vasiliki Lamprousi, Francesco Marcelloni, Jafar Mohammadi, Nuwanthika Rajapaksha, Alessandro Renda, Mikko A. Uusitalo:
The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G. IEEE Access 11: 65620-65648 (2023) - [j9]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) - [j8]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) - [c19]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 - [c18]Alessio Bechini, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
An Application for Federated Learning of XAI Models in Edge Computing Environments. FUZZ 2023: 1-7 - [c17]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 - [c16]Pietro Ducange, Francesco Marcelloni, Davide Micheli, Giovanni Nardini, Alessandro Renda, Dario Sabella, Giovanni Stea, Antonio Virdis:
Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project. Ital-IA 2023: 359-364 - [c15]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 - [c14]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
- [j7]Alessandro Renda, Pietro Ducange, Francesco Marcelloni, Dario Sabella, Miltiadis C. Filippou, Giovanni Nardini, Giovanni Stea, Antonio Virdis, Davide Micheli, Damiano Rapone, Leonardo Gomes Baltar:
Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking. Inf. 13(8): 395 (2022) - [j6]Alessio Bechini, Francesco Marcelloni, Alessandro Renda:
TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams. IEEE Trans. Fuzzy Syst. 30(3): 623-637 (2022) - [j5]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) - [c13]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 - [c12]Alessandro Bondielli, Giuseppe Cancello Tortora, Pietro Ducange, Armando Macri, Francesco Marcelloni, Alessandro Renda:
Online Monitoring of Stance from Tweets: The case of Green Pass in Italy. EAIS 2022: 1-8 - [c11]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 - [c10]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 - [c9]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 - [c8]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 - [c7]Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamás Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, András Benczúr, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur:
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. AI6G@WCCI 2022 - [e1]Alessandro Renda, Pietro Ducange, Tamás Borsos, Hannu Flinck:
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), Padova, Italy, July 21, 2022. CEUR Workshop Proceedings 3189, CEUR-WS.org 2022 [contents] - 2021
- [j4]Alessio Bechini, Alessandro Bondielli, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application. IEEE Access 9: 77758-77770 (2021) - [j3]Alessio Bechini, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy. IEEE Intell. Syst. 36(5): 131-139 (2021) - [c6]Alessandro Renda, Pietro Ducange, Gionatan Gallo, Francesco Marcelloni:
XAI Models for Quality of Experience Prediction in Wireless Networks. FUZZ-IEEE 2021: 1-6 - [c5]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 - [c4]José Luis Corcuera Bárcena, Francesco Marcelloni, Alessandro Renda, Alessio Bechini, Pietro Ducange:
A federated fuzzy c-means clustering algorithm. WILF 2021 - 2020
- [c3]Alessio Bechini, Martina Criscione, Pietro Ducange, Francesco Marcelloni, Alessandro Renda:
FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning. FUZZ-IEEE 2020: 1-8
2010 – 2019
- 2019
- [j2]Eleonora D'Andrea, Pietro Ducange, Alessio Bechini, Alessandro Renda, Francesco Marcelloni:
Monitoring the public opinion about the vaccination topic from tweets analysis. Expert Syst. Appl. 116: 209-226 (2019) - [j1]Alessandro Renda, Marco Barsacchi, Alessio Bechini, Francesco Marcelloni:
Comparing ensemble strategies for deep learning: An application to facial expression recognition. Expert Syst. Appl. 136: 1-11 (2019) - [c2]Andrea Aliperti, Alessio Bechini, Francesco Marcelloni, Alessandro Renda:
A Fuzzy Density-based Clustering Algorithm for Streaming Data. FUZZ-IEEE 2019: 1-6 - 2018
- [c1]Alessandro Renda, Marco Barsacchi, Alessio Bechini, Francesco Marcelloni:
Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs. LOD 2018: 406-417
Coauthor Index
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last updated on 2025-01-27 00:44 CET by the dblp team
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