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Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure
Research article (Neurocomputing, 2015) · cited 80× · AI/ML
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure
Summary
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure is a scholarly article[1].
Key Facts
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-classifier-behavior-with-noisy-data-considering-performance-and-robustness-the-equalized-loss-of-accuracy
MLA“Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-classifier-behavior-with-noisy-data-considering-performance-and-robustness-the-equalized-loss-of-accuracy.
BibTeX@misc{4ortxyz_evaluating-the-classifier-behavior-with-noisy-data-considering-performance-and-robustness-the-equalized-loss-of-accuracy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-classifier-behavior-with-noisy-data-considering-performance-and-robustness-the-equalized-loss-of-accuracy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure — https://4ort.xyz/entity/evaluating-the-classifier-behavior-with-noisy-data-considering-performance-and-robustness-the-equalized-loss-of-accuracy (retrieved 2026-05-24)
