ListarInstitute of New Imaging Technologies (INIT) por tema "Imbalance"
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On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
Elsevier (2012)The present paper investigates the influence of both the imbalance ratio and the classifier on the performance of several resampling strategies to deal with imbalanced data sets. The study focuses on evaluating how learning ... -
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
Springer (2012)Many traditional approaches to pattern classifi- cation assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated. Often, the ratios ...