Abstract: In predictive medicine, accurately assessing the risk of heart disease remains quite difficult, particularly when dealing with small and diverse clinical tabular datasets. To address these ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Abstract: Sign language translation (SLT) traditionally requires costly human gloss annotations. Recently, gloss-free approaches, which directly generate text from video, have been studied and ...