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1 Ergebnisse
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A genetic algorithm to optimize SMOTE and GAN ratios in cla..:
, In:
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
,
Cho, Hwi-Yeon
;
Kim, Yong-Hyuk
- p. 33-34 , 2020
Link:
https://dl.acm.org/doi/10.1145/3377929.3398153
RT T1 <cTitle>Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion</cTitle>: T1 <Title>A genetic algorithm to optimize SMOTE and GAN ratios in class imbalanced datasets</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3398153&Exemplar=1&LAN=DE A1 Cho, Hwi-Yeon A1 Kim, Yong-Hyuk PB ACM YR 2020 K1 genetic algorithm K1 machine learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Bio-inspired approaches K1 Genetic algorithms SP 33 OP 34 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3377929.3398153 DO https://dl.acm.org/doi/10.1145/3377929.3398153 SF ELIB - SuUB Bremen
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