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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “CE-GAN”

Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Networkcs.LG

CE-GAN improves deep learning for imbalanced data classification.

problem Difficulty in recognizing minority classes in imbalanced data.

method Class Expert Generative Adversarial Network (CE-GAN) architecture modification.

result CE-GAN provides better performance for imbalanced data classification.

CE-GAN deep learning imbalanced data generative adversarial network minority class

2018-07-12abs ↗pdf ↗