Multi-label classification is a dynamic field within machine learning that allows a single instance to be associated with multiple labels simultaneously. Over recent years, advances in this domain ...

Electronic medical records (EMRs) enable healthcare institutions to digitally document patients’ clinical conditions, treatment processes, and diagnostic outcomes, supporting paperless clinical ...

Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...