Alessandro Renda

Orcid: 0000-0002-0482-5048

According to our database1, Alessandro Renda authored at least 29 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G.
IEEE Access, 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

Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project.
Proceedings of the Italia Intelligenza Artificiale, 2023

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

An Application for Federated Learning of XAI Models in Edge Computing Environments.
Proceedings of the IEEE International Conference on Fuzzy Systems, 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

TSF-DBSCAN: A Novel Fuzzy Density-Based Approach for Clustering Unbounded Data Streams.
IEEE Trans. Fuzzy Syst., 2022

Federated Learning of Explainable AI Models in 6G Systems: Towards Secure and Automated Vehicle Networking.
Inf., 2022

Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective.
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

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

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy.
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 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
Stance Analysis of Twitter Users: The Case of the Vaccination Topic in Italy.
IEEE Intell. Syst., 2021

Addressing Event-Driven Concept Drift in Twitter Stream: A Stance Detection Application.
IEEE Access, 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

XAI Models for Quality of Experience Prediction in Wireless Networks.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020
FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
Comparing ensemble strategies for deep learning: An application to facial expression recognition.
Expert Syst. Appl., 2019

Monitoring the public opinion about the vaccination topic from tweets analysis.
Expert Syst. Appl., 2019

A Fuzzy Density-based Clustering Algorithm for Streaming Data.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Assessing Accuracy of Ensemble Learning for Facial Expression Recognition with CNNs.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018


  Loading...