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...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2025-02-01
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| Sarja: | Algorithms |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/1999-4893/18/2/85 |
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