Balancing misclassification errors in image-based inference using problem domain semantics and a nested cascade architecture
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Pattern recognition models, particularly neural networks, often focus on maximising classification accuracy. However, in practice, the types of errors made (misclassification between different classes) can have varying associated costs. Current methods overloo... ...
