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    RSCTC
    2010
    Springer
    142views Fuzzy Logic» more  RSCTC 2010»
    Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
    14 years 10 months ago
    Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
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    In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
    Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
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