2021
DOI: 10.48550/arxiv.2104.11914
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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case

Natalia Díaz-Rodríguez,
Alberto Lamas,
Jules Sanchez
et al.

Abstract: The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented performance over classical machine learning algorithms. However, DL models are black-box methods hard to debug, interpret, and certify. DL alone cannot provide explanations that can be validated by a non technical audience such as end-users or domain experts. In contrast, symbolic AI systems that convert concepts into rules or symbols -such as knowledge graphs-are easier to explain. However, they present lower … Show more

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