Multi-label text classification (MLTC) has a wide range of real-world applications. Neural networks recently promoted the performance of MLTC models. Training these neural-network models relies on ...

Multi-label Classification Model for English Scientific Literature: develop a multi-label classification model for scientific research literature based on the given metadata (title and abstract) of ...

Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, existing ...

Keywords: self-supervised learning, pre-training, vision transformer, multi-modal, gated units Citation: Liu N, Yuan Y, Wu G, Zhang S, Leng J and Wan L (2025) Correction: Multi-label remote sensing ...