Imbalance factor: a simple new scale for measuring inter-class imbalance extent in classification problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-023-01881-y.pdf
Reference36 articles.
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2. Japkowicz N (2001) Concept-learning in the presence of between-class and within-class imbalances. In: Conference of the Canadian society for computational studies of intelligence. Springer, pp 67–77
3. Koziarski M (2021) Potential anchoring for imbalanced data classification. Pattern Recognit 120:108114
4. Wang S, Yao X (2012) Multiclass imbalance problems: analysis and potential solutions. IEEE Trans Syst Man Cybern B Cybern 42(4):1119–1130
5. Bej S, Davtyan N, Wolfien M, Nassar M, Wolkenhauer O (2021) LoRAS: an oversampling approach for imbalanced datasets. Mach Learn 110(2):279–301
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