Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the ...

Sampling protocols have drastically changed with the discovery of compressive sensing (CS) data acquisition and signal recovery 1,2. Prior to the development of CS theory, the Shannon-Nyquist theorem ...