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@inproceedings{dal2015calibrating,
title={Calibrating probability with undersampling for unbalanced classification},
author={Dal Pozzolo, Andrea and Caelen, Olivier and Le Borgne, Yann-A{\"e}l and Watrin, Serge and Bontempi, Gianluca},
booktitle={2015 IEEE Symposium Series on Computational Intelligence},
year={2015},
organization={IEEE}
}
@article{chawla2002smote,
title={SMOTE: synthetic minority over-sampling technique},
author={Chawla, Nitesh V and Bowyer, Kevin W and Hall, Lawrence O and Kegelmeyer, W Philip},
journal={Journal of artificial intelligence research},
volume={16},
pages={321--357},
year={2002}
}
@article{lemaitre2017imbalanced,
title={Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning},
author={Lemaitre, Guillaume and Nogueira, Fernando and Aridas, Christos K},
journal={Journal of Machine Learning Research},
volume={18},
number={17},
pages={1--5},
year={2017}
}
@inproceedings{chen2016xgboost,
title={Xgboost: A scalable tree boosting system},
author={Chen, Tianqi and Guestrin, Carlos},
booktitle={Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining},
pages={785--794},
year={2016}
}
@inproceedings{lundberg2017unified,
title={A unified approach to interpreting model predictions},
author={Lundberg, Scott M and Lee, Su-In},
booktitle={Advances in Neural Information Processing Systems 30},
year={2017}
}
@article{bhattacharyya2011data,
title={Data mining for credit card fraud: A comparative study},
author={Bhattacharyya, S and Jha, S and Tharakunnel, K and Westland, J C},
journal={Decision Support Systems},
volume={50},
number={3},
pages={602--613},
year={2011},
publisher={Elsevier}
}