Three-way decision-based noise correction for crowdsourcing-Reference-Cited by-同舟云学术

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Three-way decision-based noise correction for crowdsourcing

Published:2023-09 Issue: Volume:160 Page:108973
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Wu Xue,Jiang Liangxiao^ORCID,Zhang Wenjun,Li Chaoqun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference40 articles.

1. Class-specific attribute weighted naive Bayes;Jiang;Pattern Recognit.,2019

2. The rise of crowdsourcing;Jeff;Wired Mag.,2006

3. Get another label? Improving data quality and data mining using multiple, noisy labelers;Sheng,2008

4. Using differential evolution to estimate labeler quality for crowdsourcing;Qiu,2018

5. Noise filtering to improve data and model quality for crowdsourcing;Li;Knowl.-Based Syst.,2016

Cited by 4 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. 3WAUS: A novel three-way adaptive uncertainty-suppressing model for facial expression recognition;Information Sciences;2024-08

2. Instance redistribution-based label integration for crowdsourcing;Information Sciences;2024-07

3. System-of-systems approach to spatio-temporal crowdsourcing design using improved PPO algorithm based on an invalid action masking;Knowledge-Based Systems;2024-02

4. Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training;IEEE Access;2024

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