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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Bibliographic Details
Published in:International Journal of Computational Intelligence Systems
Main Authors: Muhammad Suffian, Jose M. Alonso-Moral, Alessandro Bogliolo
Format: Article
Language:English
Published: Springer 2024-05-01
Subjects:
Explainable artificial intelligence
Human-centred explanations
Interpretable machine learning
Counterfactual explanations
User feedback
Online Access:https://doi.org/10.1007/s44196-024-00508-6

Internet

https://doi.org/10.1007/s44196-024-00508-6

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