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references.bib
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@InProceedings{ batista2003,
title = {Balancing training data for automated annotation of
keywords: A case study},
author = {Batista, Gustavo E. A. P. A. and Bazzan, Ana L. C. and
Monard, Maria Carolina},
booktitle = {Proceedings of the 2nd Brazilian Workshop on
Bioinformatics},
pages = {10--18},
year = {2003},
month = {Dec.},
address = {Rio de Janeiro, Brazil}
}
@Article{ batista2004,
title = {A study of the behavior of several methods for balancing
machine learning training data},
author = {Batista, Gustavo E. A. P. A. and Prati, Ronaldo C. and
Monard, Maria Carolina},
journal = {ACM Sigkdd Explorations Newsletter},
volume = {6},
number = {1},
pages = {20--29},
year = {2004},
publisher = {ACM}
}
@Article{ chawla2002,
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}
}
@InProceedings{ han2005,
title = {Borderline-SMOTE: A new over-sampling method in imbalanced
data sets learning},
author = {Han, Hui and Wang, Wen-Yuan and Mao, Bing-Huan},
journal = {Advances in intelligent computing},
pages = {878--887},
year = {2005},
booktitle = {Proceedings of the 1st International Conference on
Intelligent Computing},
month = {Aug.},
address = {Hefei, China}
}
@Article{ hart1968,
title = {The condensed nearest neighbor rule},
author = {Hart, Peter E.},
journal = {IEEE Transactions on Information Theory},
volume = {14},
number = {3},
pages = {515--516},
year = {1968},
publisher = {IEEE}
}
@InProceedings{ he2008,
title = {ADASYN: Adaptive synthetic sampling approach for
imbalanced learning},
author = {He, Haibo and Bai, Yang and Garcia, Edwardo A. and Li,
Shutao},
booktitle = {Proceedings of the 5th IEEE International Joint Conference
on Neural Networks},
pages = {1322--1328},
year = {2008},
organization = {IEEE},
month = {Jun.},
address = {Hong Kong, China}
}
@InProceedings{ kubat1997,
title = {Addressing the curse of imbalanced training sets:
One-sided selection},
author = {Kubat, Miroslav and Matwin, Stan},
booktitle = {Proceedings of the 14th International Conference on
Machine Learning},
volume = {97},
pages = {179--186},
year = {1997},
address = {Nashville, Tennessee, USA},
month = {July}
}
@InProceedings{ laurikkala2001,
title = {Improving identification of difficult small classes by
balancing class distribution},
author = {Laurikkala, Jorma},
journal = {Proceedings of the 8th Conference on Artificial
Intelligence in Medicine in Europe},
pages = {63--66},
address = {Cascais, Portugal},
month = {Jul.},
year = {2001},
publisher = {Springer}
}
@Article{ liu2009,
title = {Exploratory undersampling for class-imbalance learning},
author = {Liu, Xu-Ying and Wu, Jianxin and Zhou, Zhi-Hua},
journal = {IEEE Transactions on Systems, Man, and Cybernetics},
volume = {39},
number = {2},
pages = {539--550},
year = {2009},
publisher = {IEEE}
}
@InProceedings{ mani2003,
title = {kNN approach to unbalanced data distributions: A case
study involving information extraction},
author = {Mani, Inderjeet and Zhang, Jianping},
booktitle = {Proceedings of the Workshop on Learning from Imbalanced
Data Sets},
volume = {126},
year = {2003},
month = {Aug.},
pages = {1--7},
address = {Washington, DC, USA}
}
@InProceedings{ nguyen2009,
title = {Borderline over-sampling for imbalanced data
classification},
author = {Nguyen, Hien M. and Cooper, Eric W. and Kamei, Katsuari},
journal = {Proceedings of the 5th International Workshop on
computational Intelligence and Applications},
pages = {24--29},
year = {2009}
}
@Article{ smith2014,
title = {An instance level analysis of data complexity},
author = {Smith, Michael R. and Martinez, Tony and Giraud-Carrier,
Christophe},
journal = {Machine learning},
volume = {95},
number = {2},
pages = {225--256},
year = {2014},
publisher = {Springer}
}
@Article{ tomek1976a,
title = {Two modifications of CNN},
author = {Tomek, Ivan},
journal = {IEEE Trans. Systems, Man and Cybernetics},
volume = {6},
issue = {6},
pages = {769--772},
year = {1976}
}
@Article{ tomek1976b,
title = {An experiment with the edited nearest-neighbor rule},
author = {Tomek, Ivan},
journal = {IEEE Transactions on Systems, Man, and Cybernetics},
number = {6},
issue = {6},
pages = {448--452},
year = {1976}
}
@Article{ wilson1972,
title = {Asymptotic properties of nearest neighbor rules using
edited data},
author = {Wilson, Dennis L.},
journal = {IEEE Transactions on Systems, Man, and Cybernetics},
volume = {2},
number = {3},
pages = {408--421},
year = {1972},
publisher = {IEEE}
}
@article{chen2004using,
title={Using random forest to learn imbalanced data},
author={Chen, Chao and Liaw, Andy and Breiman, Leo},
journal={University of California, Berkeley},
volume={110},
pages={1--12},
year={2004}
}
@article{torelli2014rose,
author = {Menardi, Giovanna and Torelli, Nicola},
title={Training and assessing classification rules with imbalanced data},
journal={Data Mining and Knowledge Discovery},
volume={28},
pages={92-122},
year={2014},
publisher={Springer},
issue = {1},
issn = {1573-756X},
url = {https://doi.org/10.1007/s10618-012-0295-5},
doi = {10.1007/s10618-012-0295-5}
}
@article{stanfill1986toward,
title={Toward memory-based reasoning},
author={Stanfill, Craig and Waltz, David},
journal={Communications of the ACM},
volume={29},
number={12},
pages={1213--1228},
year={1986},
publisher={ACM New York, NY, USA}
}
@article{wilson1997improved,
title={Improved heterogeneous distance functions},
author={Wilson, D Randall and Martinez, Tony R},
journal={Journal of artificial intelligence research},
volume={6},
pages={1--34},
year={1997}
}
@inproceedings{wang2009diversity,
title={Diversity analysis on imbalanced data sets by using ensemble models},
author={Wang, Shuo and Yao, Xin},
booktitle={2009 IEEE symposium on computational intelligence and data mining},
pages={324--331},
year={2009},
organization={IEEE}
}
@article{hido2009roughly,
title={Roughly balanced bagging for imbalanced data},
author={Hido, Shohei and Kashima, Hisashi and Takahashi, Yutaka},
journal={Statistical Analysis and Data Mining: The ASA Data Science Journal},
volume={2},
number={5-6},
pages={412--426},
year={2009},
publisher={Wiley Online Library}
}
@article{maclin1997empirical,
title={An empirical evaluation of bagging and boosting},
author={Maclin, Richard and Opitz, David},
journal={AAAI/IAAI},
volume={1997},
pages={546--551},
year={1997}
}