Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address this issue, counterfactual explanations have been proposed to elucidate the...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/5/2912 |