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ConvGeN: Convex space learning improves deep-generative oversampling for
  tabular imbalanced classification on smaller datasets

ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets

20 June 2022
Kristian Schultz
Saptarshi Bej
Waldemar Hahn
M. Wolfien
P. Srivastava
Olaf Wolkenhauer
    DiffM
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Papers citing "ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets"

3 / 3 papers shown
Title
A multi-schematic classifier-independent oversampling approach for
  imbalanced datasets
A multi-schematic classifier-independent oversampling approach for imbalanced datasets
Saptarshi Bej
K. Schulz
P. Srivastava
M. Wolfien
Olaf Wolkenhauer
20
13
0
15 Jul 2021
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
119
468
0
09 Jun 2018
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,256
0
09 Jun 2011
1