Chemical exchange saturation transfer (CEST) is a promising magnetic resonance imaging (MRI) technique that provides molecular-level information in vivo. To obtain this unique contrast, repeated ...

Undersampling is a data cleaning technique for dealing with imbalanced data in machine learning. Imbalanced data means that some classes or labels are overrepresented or underrepresented in the ...

Traditionally, undersampling is utilized in communication applications where a range of non-baseband signals sitting above the nyquist frequency are desired to be sampled. The bandwidth of these ...

I'd like to build a categorical predictive models using a binary classification (0 ,1). The dataset is composed by about 300K data points, but the classification is imbalanced (289K elements with 0 ...