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30 changes: 15 additions & 15 deletions README.rst
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Expand Up @@ -166,32 +166,32 @@ The different algorithms are presented in the sphinx-gallery_.
References:
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.. [1] : I. Tomek, “Two modifications of CNN,” In Systems, Man, and Cybernetics, IEEE Transactions on, vol. 6, pp 769-772, 2010.
.. [1] : I. Tomek, “Two modifications of CNN,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 6, pp. 769-772, 1976. [`bib <references.bib#L148>`_]

.. [2] : I. Mani, I. Zhang. “kNN approach to unbalanced data distributions: a case study involving information extraction,” In Proceedings of workshop on learning from imbalanced datasets, 2003.
.. [2] : I. Mani, J. Zhang. “kNN approach to unbalanced data distributions: A case study involving information extraction,” In Proceedings of the Workshop on Learning from Imbalanced Data Sets, pp. 1-7, 2003. [`pdf <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf>`_] [`bib <references.bib#L113>`_]

.. [3] : P. Hart, “The condensed nearest neighbor rule,” In Information Theory, IEEE Transactions on, vol. 14(3), pp. 515-516, 1968.
.. [3] : P. E. Hart, “The condensed nearest neighbor rule,” IEEE Transactions on Information Theory, vol. 14(3), pp. 515-516, 1968. [`pdf <http://sci2s.ugr.es/keel/pdf/algorithm/articulo/hart1968.pdf>`_] [`bib <references.bib#L51>`_]

.. [4] : M. Kubat, S. Matwin, “Addressing the curse of imbalanced training sets: one-sided selection,” In ICML, vol. 97, pp. 179-186, 1997.
.. [4] : M. Kubat, S. Matwin, “Addressing the curse of imbalanced training sets: One-sided selection,” In Proceedings of the 14th International Conference on Machine Learning, vol. 97, pp. 179-186, 1997. [`pdf <http://sci2s.ugr.es/keel/pdf/algorithm/congreso/kubat97addressing.pdf>`_] [`bib <references.bib#L76>`_]

.. [5] : J. Laurikkala, “Improving identification of difficult small classes by balancing class distribution,” Springer Berlin Heidelberg, 2001.
.. [5] : J. Laurikkala, “Improving identification of difficult small classes by balancing class distribution,” Proceedings of the 8th Conference on Artificial Intelligence in Medicine in Europe, pp. 63-66, 2001. [`pdf <https://pdfs.semanticscholar.org/0e75/4db8253e84cde4ade4b6f5ba768a6150569a.pdf>`_] [`bib <references.bib#L89>`_]

.. [6] : D. Wilson, “Asymptotic Properties of Nearest Neighbor Rules Using Edited Data,” In IEEE Transactions on Systems, Man, and Cybernetrics, vol. 2 (3), pp. 408-421, 1972.
.. [6] : D. Wilson, “Asymptotic Properties of Nearest Neighbor Rules Using Edited Data,” IEEE Transactions on Systems, Man, and Cybernetrics, vol. 2(3), pp. 408-421, 1972. [`pdf <http://sci2s.ugr.es/keel/pdf/algorithm/articulo/1972-Wilson-IEEETSMC.pdf>`_] [`bib <references.bib#L168>`_]

.. [7] : D. Smith, Michael R., Tony Martinez, and Christophe Giraud-Carrier. “An instance level analysis of data complexity.” Machine learning 95.2 (2014): 225-256.
.. [7] : M. R. Smith, T. Martinez, C. Giraud-Carrier, “An instance level analysis of data complexity,” Machine learning, vol. 95(2), pp. 225-256, 2014. [`pdf <https://pdfs.semanticscholar.org/5796/8c07abe6a734977db47b08cf4c567733aede.pdf>`_] [`bib <references.bib#L136>`_]

.. [8] : N. V. Chawla, K. W. Bowyer, L. O.Hall, W. P. Kegelmeyer, “SMOTE: synthetic minority over-sampling technique,” Journal of artificial intelligence research, 321-357, 2002.
.. [8] : N. V. Chawla, K. W. Bowyer, L. O. Hall, W. P. Kegelmeyer, “SMOTE: Synthetic minority over-sampling technique,” Journal of Artificial Intelligence Research, vol. 16, pp. 321-357, 2002. [`pdf <http://www.jair.org/media/953/live-953-2037-jair.pdf>`_] [`bib <references.bib#L28>`_]

.. [9] : H. Han, W. Wen-Yuan, M. Bing-Huan, “Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning,” Advances in intelligent computing, 878-887, 2005.
.. [9] : H. Han, W.-Y. Wang, B.-H. Mao, “Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning,” In Proceedings of the 1st International Conference on Intelligent Computing, pp. 878-887, 2005. [`pdf <http://sci2s.ugr.es/keel/pdf/specific/congreso/han_borderline_smote.pdf>`_] [`bib <references.bib#L38>`_]

.. [10] : H. M. Nguyen, E. W. Cooper, K. Kamei, “Borderline over-sampling for imbalanced data classification,” International Journal of Knowledge Engineering and Soft Data Paradigms, 3(1), pp.4-21, 2001.
.. [10] : H. M. Nguyen, E. W. Cooper, K. Kamei, “Borderline over-sampling for imbalanced data classification,” In Proceedings of the 5th International Workshop on computational Intelligence and Applications, pp. 24-29, 2009. [`pdf <http://ousar.lib.okayama-u.ac.jp/files/public/1/19617/20160528004522391723/IWCIA2009_A1005.pdf>`_] [`bib <references.bib#L126>`_]

.. [11] : G. Batista, R. C. Prati, M. C. Monard. “A study of the behavior of several methods for balancing machine learning training data,” ACM Sigkdd Explorations Newsletter 6 (1), 20-29, 2004.
.. [11] : G. E. A. P. A. Batista, R. C. Prati, M. C. Monard, “A study of the behavior of several methods for balancing machine learning training data,” ACM Sigkdd Explorations Newsletter, vol. 6(1), pp. 20-29, 2004. [`pdf <http://sci2s.ugr.es/keel/dataset/includes/catImbFiles/2004-Batista-SIGKDD.pdf>`_] [`bib <references.bib#L15>`_]

.. [12] : G. Batista, B. Bazzan, M. Monard, [“Balancing Training Data for Automated Annotation of Keywords: a Case Study,” In WOB, 10-18, 2003.
.. [12] : G. E. A. P. A. Batista, A. L. C. Bazzan, M. C. Monard, “Balancing training data for automated annotation of keywords: A case study,” In Proceedings of the 2nd Brazilian Workshop on Bioinformatics, pp. 10-18, 2003. [`pdf <http://www.inf.ufrgs.br/maslab/pergamus/pubs/balancing-training-data-for.pdf>`_] [`bib <references.bib#L2>`_]

.. [13] : X. Y. Liu, J. Wu and Z. H. Zhou, “Exploratory Undersampling for Class-Imbalance Learning,” in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 39, no. 2, pp. 539-550, April 2009.
.. [13] : X.-Y. Liu, J. Wu and Z.-H. Zhou, “Exploratory undersampling for class-imbalance learning,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 39(2), pp. 539-550, 2009. [`pdf <https://pdfs.semanticscholar.org/beac/3afc6a2cbdefe8dae03de25a139193ef6021.pdf>`_] [`bib <references.bib#L102>`_]

.. [14] : I. Tomek, “An Experiment with the Edited Nearest-Neighbor Rule,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 6(6), pp. 448-452, June 1976.
.. [14] : I. Tomek, “An experiment with the edited nearest-neighbor rule,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 6(6), pp. 448-452, 1976. [`bib <references.bib#L158>`_]

.. [15] : He, Haibo, Yang Bai, Edwardo A. Garcia, and Shutao Li. “ADASYN: Adaptive synthetic sampling approach for imbalanced learning,” In IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), pp. 1322-1328, 2008.
.. [15] : H. He, Y. Bai, E. A. Garcia, S. Li, “ADASYN: Adaptive synthetic sampling approach for imbalanced learning,” In Proceedings of the 5th IEEE International Joint Conference on Neural Networks, pp. 1322-1328, 2008. [`pdf <https://pdfs.semanticscholar.org/4823/4756b7cf798bfeb47328f7c5d597fd4838c2.pdf>`_] [`bib <references.bib#L62>`_]
178 changes: 178 additions & 0 deletions 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}
}