Two‐stage‐neighborhood‐based multilabel classification for incomplete data with missing labels-Reference-Cited by-同舟云学术

Two‐stage‐neighborhood‐based multilabel classification for incomplete data with missing labels

Published:2022-03 Issue:10 Volume:37 Page:6773-6810
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Sun Lin¹²^ORCID,Wang Tianxiang¹^ORCID,Ding Weiping³^ORCID,Xu Jiucheng¹^ORCID,Tan Anhui⁴^ORCID

Affiliation:

1. College of Computer and Information Engineering Henan Normal University Xinxiang China

2. Engineering Laboratory of Intelligence Business and Internet of Things Technology Henan Normal University Xinxiang China

3. School of Information Science and Technology Nantong University Nantong China

4. School of Mathematics, Physics, and Information Science Zhejiang Ocean University Zhoushan China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22861

Reference43 articles.

1. An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels

2. Feature selection with missing labels using multilabel fuzzy neighborhood rough sets and maximum relevance minimum redundancy;Sun L;IEEE Trans Fuzzy Syst,2021

3. Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems

4. Review of ensembles of multi-label classifiers: Models, experimental study and prospects

5. Binary relevance for multi-label learning: an overview

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