Effects of Class Imbalance Countermeasures on Interpretability

Effects of Class Imbalance Countermeasures on Interpretability

The widespread use of artificial intelligence (AI) in more and more real-world applications is accompanied by challenges that are not obvious at first glance. In machine learning, class imbalance, characterized by an imbalance in the frequency of classes, is one key challenge that poses essential pr...

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Bibliographic Details
Main Authors: David Cemernek, Shafaq Siddiqi, Roman Kern
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Classification
class imbalance
explainable AI
interpretability
Online Access:https://ieeexplore.ieee.org/document/10478516/

Internet

https://ieeexplore.ieee.org/document/10478516/

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