ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets

Author:

Schultz Kristian,Bej SaptarshiORCID,Hahn Waldemar,Wolfien Markus,Srivastava Prashant,Wolkenhauer Olaf

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference27 articles.

1. SMOTE: Synthetic minority over-sampling technique;Chawla;J. Artif. Intell. Res. (JAIR),2002

2. A multi-schematic classifier-independent oversampling approach for imbalanced datasets;Saptarshi;IEEE Access,2021

3. Wolkenhauer olaf loras: an oversampling approach for imbalanced datasets;Saptarshi;Mach. Learn.,2021

4. SMOTE for high-dimensional class-imbalanced data;Rok;BMC Bioinformatics,2013

5. An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets;Kovács;Appl. Soft Comput.,2019

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