While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, severa

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and health

A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxon

In the digital era, novel applications and techniques in the realm of computer science are increasing constantly. These innovations have led to new techniques a

Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both label