Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data - researchr publication

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Yoonseok Kim, Taeheon Lee, Youngjoo Hyun, Eric Coatanéa, Siren Mika, Jeonghoon Mo, Youngjun Yoo. Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data. Computers in Industry, 153:104024, December 2023. [doi]

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