Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

Abstract: Data Augmentation (DA), i.e., synthesizing faithful and diverse samples to expand the original training set, is an effective strategy to improve the performance of various data-scarce tasks.

Abstract: Imbalanced datasets pose significant challenges to the reliability and robustness of visual classification systems, particularly in critical applications like solar panel dust detection.