A Survey of Post-Hoc XAI Methods From a Visualization Perspective: Challenges and Opportunities
XAI (eXplainable AI) has become a pivotal area of research with the advancement of deep learning (DL) technologies and applications. Post-hoc explanation methods interpret deep learning predictions by uncovering the significance of input features, while visualization tools can contribute to a deep u...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11039632/ |
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