Mattia Daole

According to our database, Mattia Daole authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers.

Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda

Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

XAIMed: A Diagnostic Support Tool for Explaining AI Decisions on Medical Images.

Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giustino Claudio Miglionico, Alessandro Renda, Alessio Schiavo

Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, 2024

2023

OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python.

Mattia Daole, Alessio Schiavo, José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda

SoftwareX, July, 2023

Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks.

José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Renda, Giovanni Stea

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

An Application for Federated Learning of XAI Models in Edge Computing Environments.

Alessio Bechini, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models.

José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini, Alessio Schiavo

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

Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3.

Alessio Schiavo, Filippo Minutella, Mattia Daole, Marsha Gomez Gomez

CoRR, 2021