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Undersampling

Known as: Bandpass sampling 
In signal processing, undersampling or bandpass sampling is a technique where one samples a bandpass-filtered signal at a sample rate below its… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Abstract Class imbalance is often a problem in various real-world data sets, where one class (i.e. the minority class) contains a… Expand
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Highly Cited
2016
Highly Cited
2016
Graphical abstractDisplay Omitted HighlightsAutomatic clinical decision support system for breast cancer malignancy grading… Expand
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Highly Cited
2015
Highly Cited
2015
Under sampling is a popular technique for unbalanced datasets to reduce the skew in class distributions. However, it is well… Expand
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Highly Cited
2013
Highly Cited
2013
Classification with imbalanced data-sets has become one of the most challenging problems in Data Mining. Being one class much… Expand
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Highly Cited
2013
Highly Cited
2013
Most classifiers work well when the class distribution in the response variable of the dataset is well balanced. Problems arise… Expand
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Highly Cited
2013
Highly Cited
2013
In DNA microarray data, class imbalance problem occurs frequently, causing poor prediction performance for minority classes… Expand
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Highly Cited
2011
Highly Cited
2011
In the classification framework there are problems in which the number of examples per class is not equitably distributed… Expand
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Highly Cited
2011
Highly Cited
2011
Imbalanced data is a common problem in classification. This phenomenon is growing in importance since it appears in most real… Expand
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Highly Cited
2008
Highly Cited
2008
We present a new, discrete undersampling scheme designed to favor wavefield reconstruction by sparsity-promoting inversion with… Expand
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Highly Cited
2004
Highly Cited
2004
Small planktonic marine copepods (< 1 mm in length) are the most abundant metazoans on Earth. Included are adults and copepodites… Expand
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