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DOC: fix typo in ref, add pdf link to ref and add references.bib (#390)
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README.rst

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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.
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.. [1] : I. Tomek, “Two modifications of CNN,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 6, pp. 769-772, 1976. [`bib <references.bib#L148>`_]
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.. [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.
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.. [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>`_]
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.. [3] : P. Hart, “The condensed nearest neighbor rule,” In Information Theory, IEEE Transactions on, vol. 14(3), pp. 515-516, 1968.
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.. [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>`_]
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.. [4] : M. Kubat, S. Matwin, “Addressing the curse of imbalanced training sets: one-sided selection,” In ICML, vol. 97, pp. 179-186, 1997.
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.. [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>`_]
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.. [5] : J. Laurikkala, “Improving identification of difficult small classes by balancing class distribution,” Springer Berlin Heidelberg, 2001.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [12] : G. Batista, B. Bazzan, M. Monard, [“Balancing Training Data for Automated Annotation of Keywords: a Case Study,” In WOB, 10-18, 2003.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]
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.. [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.
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.. [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>`_]

references.bib

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@InProceedings{ batista2003,
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title = {Balancing training data for automated annotation of
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keywords: A case study},
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author = {Batista, Gustavo E. A. P. A. and Bazzan, Ana L. C. and
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Monard, Maria Carolina},
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booktitle = {Proceedings of the 2nd Brazilian Workshop on
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Bioinformatics},
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pages = {10--18},
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year = {2003},
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month = {Dec.},
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address = {Rio de Janeiro, Brazil}
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}
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@Article{ batista2004,
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title = {A study of the behavior of several methods for balancing
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machine learning training data},
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author = {Batista, Gustavo E. A. P. A. and Prati, Ronaldo C. and
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Monard, Maria Carolina},
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journal = {ACM Sigkdd Explorations Newsletter},
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volume = {6},
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number = {1},
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pages = {20--29},
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year = {2004},
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publisher = {ACM}
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}
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@Article{ chawla2002,
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title = {SMOTE: Synthetic minority over-sampling technique},
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author = {Chawla, Nitesh V. and Bowyer, Kevin W. and Hall, Lawrence
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O. and Kegelmeyer, W. Philip},
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journal = {Journal of Artificial Intelligence Research},
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volume = {16},
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pages = {321--357},
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year = {2002}
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}
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@InProceedings{ han2005,
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title = {Borderline-SMOTE: A new over-sampling method in imbalanced
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data sets learning},
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author = {Han, Hui and Wang, Wen-Yuan and Mao, Bing-Huan},
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journal = {Advances in intelligent computing},
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pages = {878--887},
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year = {2005},
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booktitle = {Proceedings of the 1st International Conference on
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Intelligent Computing},
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month = {Aug.},
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address = {Hefei, China}
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}
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@Article{ hart1968,
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title = {The condensed nearest neighbor rule},
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author = {Hart, Peter E.},
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journal = {IEEE Transactions on Information Theory},
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volume = {14},
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number = {3},
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pages = {515--516},
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year = {1968},
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publisher = {IEEE}
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}
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@InProceedings{ he2008,
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title = {ADASYN: Adaptive synthetic sampling approach for
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imbalanced learning},
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author = {He, Haibo and Bai, Yang and Garcia, Edwardo A. and Li,
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Shutao},
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booktitle = {Proceedings of the 5th IEEE International Joint Conference
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on Neural Networks},
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pages = {1322--1328},
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year = {2008},
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organization = {IEEE},
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month = {Jun.},
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address = {Hong Kong, China}
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}
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@InProceedings{ kubat1997,
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title = {Addressing the curse of imbalanced training sets:
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One-sided selection},
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author = {Kubat, Miroslav and Matwin, Stan},
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booktitle = {Proceedings of the 14th International Conference on
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Machine Learning},
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volume = {97},
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pages = {179--186},
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year = {1997},
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address = {Nashville, Tennessee, USA},
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month = {July}
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}
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@InProceedings{ laurikkala2001,
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title = {Improving identification of difficult small classes by
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balancing class distribution},
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author = {Laurikkala, Jorma},
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journal = {Proceedings of the 8th Conference on Artificial
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Intelligence in Medicine in Europe},
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pages = {63--66},
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address = {Cascais, Portugal},
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month = {Jul.},
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year = {2001},
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publisher = {Springer}
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}
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@Article{ liu2009,
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title = {Exploratory undersampling for class-imbalance learning},
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author = {Liu, Xu-Ying and Wu, Jianxin and Zhou, Zhi-Hua},
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journal = {IEEE Transactions on Systems, Man, and Cybernetics},
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volume = {39},
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number = {2},
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pages = {539--550},
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year = {2009},
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publisher = {IEEE}
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}
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@InProceedings{ mani2003,
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title = {kNN approach to unbalanced data distributions: A case
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study involving information extraction},
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author = {Mani, Inderjeet and Zhang, Jianping},
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booktitle = {Proceedings of the Workshop on Learning from Imbalanced
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Data Sets},
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volume = {126},
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year = {2003},
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month = {Aug.},
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pages = {1--7},
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address = {Washington, DC, USA}
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}
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@InProceedings{ nguyen2009,
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title = {Borderline over-sampling for imbalanced data
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classification},
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author = {Nguyen, Hien M. and Cooper, Eric W. and Kamei, Katsuari},
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journal = {Proceedings of the 5th International Workshop on
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computational Intelligence and Applications},
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pages = {24--29},
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year = {2009}
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}
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@Article{ smith2014,
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title = {An instance level analysis of data complexity},
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author = {Smith, Michael R. and Martinez, Tony and Giraud-Carrier,
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Christophe},
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journal = {Machine learning},
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volume = {95},
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number = {2},
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pages = {225--256},
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year = {2014},
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publisher = {Springer}
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}
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@Article{ tomek1976a,
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title = {Two modifications of CNN},
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author = {Tomek, Ivan},
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journal = {IEEE Trans. Systems, Man and Cybernetics},
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volume = {6},
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issue = {6},
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pages = {769--772},
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year = {1976}
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}
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@Article{ tomek1976b,
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title = {An experiment with the edited nearest-neighbor rule},
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author = {Tomek, Ivan},
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journal = {IEEE Transactions on Systems, Man, and Cybernetics},
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number = {6},
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issue = {6},
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pages = {448--452},
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year = {1976}
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}
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@Article{ wilson1972,
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title = {Asymptotic properties of nearest neighbor rules using
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edited data},
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author = {Wilson, Dennis L.},
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journal = {IEEE Transactions on Systems, Man, and Cybernetics},
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volume = {2},
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number = {3},
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pages = {408--421},
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year = {1972},
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publisher = {IEEE}
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}

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