A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data
P. K. A. Chitra, S. Balamurugan, S. Geetha, Seifedine Kadry, Jung-Eun Kim, Keejun Han · Computer Systems Science and Engineering · 2024
A generalization of supervised single-label learning based on the assumption that each sample in a dataset may belong to more than one class simultaneously is called multi-label learning. The main objective of this work is to... | Find, read and cite all the research you need on Tech Science Press