EXplainable Artificial Intelligence (XAI)—From Theory to Methods and Applications

EXplainable Artificial Intelligence (XAI)—From Theory to Methods and Applications

Intelligent applications supported by Machine Learning have achieved remarkable performance rates for a wide range of tasks in many domains. However, understanding why a trained algorithm makes a particular decision remains problematic. Given the growing interest in the application of learning-based...

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Bibliographic Details
Main Authors: Evandro S. Ortigossa, Thales Goncalves, Luis Gustavo Nonato
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Black-box models
explainability
explainable machine learning
interpretability
interpretable machine learning
Online Access:https://ieeexplore.ieee.org/document/10549884/

Internet

https://ieeexplore.ieee.org/document/10549884/

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