Exploring the Impact of Backbone Architecture on Explainable CNNs’ Interpretability
The growing demand for interpretable models in machine learning underscores the importance of transparency in decision-making processes for building trust and ensuring accountability in AI systems. Unlike complex black-box models, interpretable models shed light on the reasoning behind predictio...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Scientia Publishing House
2024-10-01
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| Series: | Acta Universitatis Sapientiae: Informatica |
| Subjects: | |
| Online Access: | https://acta.sapientia.ro/content/docs/info16-1-07-918601.pdf |
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