Machine Learning for Classification and Imbalanced Data Analysis - Nature

Retrieved on: 2025-01-24 17:08:40

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Machine learning

Generative artificial intelligence

Cognitive science

Generative adversarial network

Unsupervised learning

Deep learning

Data augmentation

Oversampling and undersampling in data analysis

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Machine Learning for Classification and Imbalanced Data Analysis - Nature. View article details on hiswai:

Summary

The article discusses techniques to address class imbalance in machine learning, integrating deep learning and oversampling methods like DeepSMOTE. Although Generative Adversarial Networks are not directly used, similar oversampling concepts apply within generative AI frameworks.

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