Introducing User Feedback-Based Counterfactual Explanations (UFCE)
Abstract Machine learning models are widely used in real-world applications. However, their complexity makes it often challenging to interpret the rationale behind their decisions. Counterfactual explanations (CEs) have emerged as a viable solution for generating comprehensible explanations in eXpla...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2024-05-01
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| Serie: | International Journal of Computational Intelligence Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s44196-024-00508-6 |
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