"ConvGeN: A convex space learning approach for deep-generative oversampling ..."

Kristian Schultz et al. (2024)

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DOI: 10.1016/J.PATCOG.2023.110138

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type: Journal Article

metadata version: 2024-02-05

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Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer:
ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets. Pattern Recognit. 147: 110138 (2024)

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