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Imb_dat

some algorithm for imbalanced dataset

  1. UA-KF: Kang Q, Chen X S, Li S S, et al. A noise-filtered under-sampling scheme for imbalanced classification[J]. IEEE transactions on cybernetics, 2016, 47(12): 4263-4274.
  2. TU: Peng M, Zhang Q, Xing X, et al. Trainable undersampling for class-imbalance learning[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33(01): 4707-4714. source code
  3. USS: Zhang J, Wang T, Ng W W Y, et al. Undersampling near decision boundary for imbalance problems[C]//2019 International conference on machine learning and cybernetics (ICMLC). IEEE, 2019: 1-8.
  4. RBU: Koziarski M. Radial-based undersampling for imbalanced data classification[J]. Pattern Recognition, 2020, 102: 107262. source code

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some algorithm for imbalanced dataset

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