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Open and Extensible Benchmark for Explainable Artificial Intelligence Methods

The interpretability requirement is one of the largest obstacles when deploying machine learning models in various practical fields. Methods of eXplainable Artificial Intelligence (XAI) address those issues. However, the growing number of different solutions in this field creates a demand to assess...

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Principais autores: Ilia Moiseev, Ksenia Balabaeva, Sergey Kovalchuk
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-02-01
Serier:Algorithms
Fag:
XAI evaluation
benchmark
interpretable machine learning
interpretability metrics
explainable artificial intelligence
Online adgang:https://www.mdpi.com/1999-4893/18/2/85
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