The long-term goal of the project is to facilitate automated design of machine learning pipelines in the case of imbalanced distribution of target classes.
Currently, only binary imbalanced classification setting is implemented.
If you find this work useful for you research, please cite the following:
@inproceedings{
imba,
title={Imba: Configuration-free Imbalanced Learning},
author={Maksim Aliev and Sergey Muravyov},
booktitle={Proc. of the 36th Conference of Open Innovation Association(FRUCT)},
year={2024},
url={https://ieeexplore.ieee.org/document/10749909}
}