Biagio La Rosa

Orcid: 0000-0002-4071-170X

According to our database1, Biagio La Rosa authored at least 10 papers between 2020 and 2024.

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Bibliography

2024
Prototype-Based Interpretable Graph Neural Networks.
IEEE Trans. Artif. Intell., April, 2024

Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening.
Mach. Learn., April, 2024

Explaining Deep Neural Networks by Leveraging Intrinsic Methods.
CoRR, 2024

2023
A self-interpretable module for deep image classification on small data.
Appl. Intell., April, 2023

State of the Art of Visual Analytics for eXplainable Deep Learning.
Comput. Graph. Forum, February, 2023

Towards a fuller understanding of neurons with Clustered Compositional Explanations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models.
CoRR, 2021

A Discussion about Explainable Inference on Sequential Data via Memory-Tracking.
Proceedings of the AIxIA 2021 Discussion Papers co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

Detection Accuracy for Evaluating Compositional Explanations of Units.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
Explainable Inference on Sequential Data via Memory-Tracking.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020


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