logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Semi-Supervised Majority Voting for crowdsourcing

delete2025-07-11
delete0
PRE
AI
H
Hao Yu
S
Shichao Zhang
J
Jiaye Li
C
Chengqing Li
DOI：10.1016/j.inffus.2025.103412delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Semi-supervised learning tackles missing labels in crowdsourced data classification. • Laplacian matrix preserves original label distribution during reconstruction. • Worker selection vectors filter unreliable workers to boost performance.
Keywords:
Crowdsourcing
Majority voting
Semi-supervised learning
Classification

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

Organization

No organization information available