Self-Adaptive-Synthetic-Over-Sampling-Approach

Version 1.0.0 (142 KB) by 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

Cite As

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.

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.