SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement

Qianzhi Ye; Jia Zhang; Hanrui Wu; Tianlong Gu; C. L. Philip Chen; Jinyi Long

doi:10.1109/tkde.2025.3579536

ScienceGate Book Chapters

JOURNAL ARTICLE

SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement

Qianzhi Ye Jia Zhang Hanrui Wu Tianlong Gu C. L. Philip Chen Jinyi Long

Year: 2025 Journal: IEEE Transactions on Knowledge and Data Engineering Vol: 37 (9)Pages: 5613-5626 Publisher: IEEE Computer Society

DOI: 10.1109/tkde.2025.3579536

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Multi-label classification Artificial intelligence Machine learning Pattern recognition (psychology)

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.08

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

SMLE: Semi-Supervised Multi-Label Learning with Label Enhancement

Metrics

Topics

Related Documents

Weakly Supervised Multi-Label Learning via Label Enhancement

Semi-Supervised Partial Multi-label Learning

Label Correlation Propagation for Semi-supervised Multi-label Learning

Graph-based semi-supervised learning with multi-label

Local-driven semi-supervised learning with multi-label