IMBALANCED DATA: A COMPARATIVE ANALYSIS OF CLASSIFICATION ENHANCEMENTS USING AUGMENTED DATA

The paper discusses aspects of classification applied to different data modalities, including text, images, and audio. The classification challenges in the context of working with imbalanced data are highlighted, the consequences of which can be mitigated