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Alessandro Renda
Alessandro Renda
Verified email at ing.unipi.it - Homepage
Title
Cited by
Cited by
Year
Monitoring the public opinion about the vaccination topic from tweets analysis
E D'Andrea, P Ducange, A Bechini, A Renda, F Marcelloni
Expert Systems with Applications 116, 209-226, 2019
1642019
Comparing ensemble strategies for deep learning: An application to facial expression recognition
A Renda, M Barsacchi, A Bechini, F Marcelloni
Expert Systems with Applications 136, 1-11, 2019
552019
Federated learning of explainable AI models in 6G systems: Towards secure and automated vehicle networking
A Renda, P Ducange, F Marcelloni, D Sabella, MC Filippou, G Nardini, ...
Information 13 (8), 395, 2022
332022
TSF-DBSCAN: A novel fuzzy density-based approach for clustering unbounded data streams
A Bechini, F Marcelloni, A Renda
IEEE Transactions on Fuzzy Systems 30 (3), 623-637, 2020
272020
Stance analysis of twitter users: the case of the vaccination topic in italy
A Bechini, P Ducange, F Marcelloni, A Renda
IEEE Intelligent Systems 36 (5), 131-139, 2020
222020
Addressing event-driven concept drift in twitter stream: a stance detection application
A Bechini, A Bondielli, P Ducange, F Marcelloni, A Renda
IEEE Access 9, 77758-77770, 2021
202021
XAI models for quality of experience prediction in wireless networks
A Renda, P Ducange, G Gallo, F Marcelloni
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021
172021
An approach to federated learning of explainable fuzzy regression models
JLC Bárcena, P Ducange, A Ercolani, F Marcelloni, A Renda
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022
152022
The Hexa-X project vision on Artificial Intelligence and Machine Learning-driven Communication and Computation co-design for 6G
M Merluzzi, T Borsos, N Rajatheva, AA Benczúr, H Farhadi, T Yassine, ...
IEEE Access, 2023
112023
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models.
JLC Bárcena, M Daole, P Ducange, F Marcelloni, A Renda, F Ruffini, ...
XAI. it@ AI* IA, 104-117, 2022
102022
Towards Trustworthy AI for QoE prediction in B5G/6G Networks.
JLC Bárcena, P Ducange, F Marcelloni, G Nardini, A Noferi, A Renda, ...
AI6G@ WCCI, 2022
92022
Increasing accuracy and explainability in fuzzy regression trees: An experimental analysis
A Bechini, JLC Bárcena, P Ducange, F Marcelloni, A Renda
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022
62022
Pervasive artificial intelligence in next generation wireless: The Hexa-X project perspective
F Miltiadis, L Vasiliki, M Jafar, M Mattia, EU Soykan, B Tamas, R Nandana, ...
CEUR WORKSHOP PROCEEDINGS, 2022
62022
Enabling federated learning of explainable AI models within beyond-5G/6G networks
JLC Bárcena, P Ducange, F Marcelloni, G Nardini, A Noferi, A Renda, ...
Computer Communications 210, 356-375, 2023
52023
FDBSCAN-APT: a fuzzy density-based clustering algorithm with automatic parameter tuning
A Bechini, M Criscione, P Ducange, F Marcelloni, A Renda
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020
42020
A fuzzy density-based clustering algorithm for streaming data
A Aliperti, A Bechini, F Marcelloni, A Renda
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2019
42019
Pervasive artificial intelligence in next generation wireless: the Hexa-X project perspective
MC Filippou, V Lamprousi, J Mohammadi, M Merluzzi, SE Ustundag, ...
CEUR Workshop Proceedings 3189, 2022
32022
A federated fuzzy c-means clustering algorithm.
JLC Bárcena, F Marcelloni, A Renda, A Bechini, P Ducange
WILF, 2021
32021
A news-based framework for uncovering and tracking city area profiles: assessment in Covid-19 setting
A Bechini, A Bondielli, JLC Bárcena, P Ducange, F Marcelloni, A Renda
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-29, 2022
22022
Online monitoring of stance from tweets: The case of green pass in Italy
A Bondielli, GC Tortora, P Ducange, A Macri, F Marcelloni, A Renda
2022 IEEE International Conference on Evolving and Adaptive Intelligent …, 2022
22022
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