A Comparative Study of Assessment Metrics for Imbalanced Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42941-5_11
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4. Farou, Z., Kopeikina, L., Horváth, T.: Solving multi-class imbalance problems using improved tabular GANs. In: Yin, H., Camacho, D., Tino, P. (eds.) Intelligent Data Engineering and Automated Learning – IDEAL 2022. IDEAL 2022. Lecture Notes in Computer Science, vol. 13756. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-21753-1_51
5. Lecture Notes in Computer Science;Z Farou,2020
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