Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Abstract: The escalating usage of artificial intelligence (AI) and machine learning algorithms across diverse fields has prompted apprehension regarding the propagation of algorithmic bias, which may ...