Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning-Reference-Cited by-同舟云学术

Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning

Published:2022-01 Issue:1 Volume:52 Page:101-115
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Ma Jianghong^ORCID,Chow Tommy W. S.^ORCID,Zhang Haijun^ORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shenzhen Science and Technology Program

City University of Hong Kong Project donated by Mr. M. W. Lau

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/9678110/09040583.pdf?arnumber=9040583

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Label distribution feature selection based on label-specific features;Applied Intelligence;2024-07-11

2. Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification;ACM Transactions on Knowledge Discovery from Data;2024-04-26

3. Latent Topic-Aware Multioutput Learning;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-12

4. Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-10

5. Semantic-gap-oriented feature selection in hierarchical classification learning;Information Sciences;2023-09