Self-Adaptive-Synthetic-Over-Sampling-Approach

版本 1.0.0 (141.7 KB) 作者: X.Gu&P.Angelov
The MATLAB code for the research paper titled "A self‐adaptive synthetic over‐sampling technique for imbalanced classification".
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This code is the self-adaptive synthetic over-sampling (SASYNO) approach described in:

X. Gu, P. Angelov, E Soares "A self-adaptive synthetic over-sampling technique for imbalanced classification,"
International Journal of Intelligent Systems, DOI: 10.1002/int.22230, 2020.

Please cite the paper above if this code helps.

For any queries about the code, please contact Dr. Xiaowei Gu, Prof. Plamen Angelov and Mr. Eduardo Soares
{x.gu3,p.angelov,e.almeidasoares}@lancaster.ac.uk

Programmed by Xiaowei Gu

引用格式

X. Gu, P. Angelov, E Soares "A self-adaptive synthetic over-sampling technique for imbalanced classification," International Journal of Intelligent Systems, DOI: 10.1002/int.22230, 2020.

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