A Comparative Analysis of Explainable AI (XAI) Techniques for Transparent and Reliable Image Classification
Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Exp...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2026-05-01
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| Serie: | Entropy |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1099-4300/28/5/562 |
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