Titolo | Pubblicato in | Anno |
---|---|---|
State of the Art of Visual Analytics for eXplainable Deep Learning | COMPUTER GRAPHICS FORUM | 2023 |
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening | MACHINE LEARNING | 2023 |
Towards a fuller understanding of neurons with Clustered Compositional Explanations | Advances in Neural INformation Processing Systems | 2023 |
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking | CEUR Workshop Proceedings | 2022 |
Prototype-based Interpretable Graph Neural Networks | IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE | 2022 |
Detection accuracy for evaluating compositional explanations of units | 2022 | |
A self-interpretable module for deep image classification on small data | APPLIED INTELLIGENCE | 2022 |
Explainable inference on sequential data via memory-tracking | Proceedings of the 29th International Joint Conference on Artificial Intelligence | 2020 |
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