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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Autors principals:	Evandro S. Ortigossa, Thales Goncalves, Luis Gustavo Nonato
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Black-box models explainability explainable machine learning interpretability interpretable machine learning
Accés en línia:	https://ieeexplore.ieee.org/document/10549884/
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