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Supervised learning-based label integration for crowdsourcing
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AI
DOI：10.1016/j.patcog.2026.113394.png)
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Abstract
En 中文
• Crowdsourcing provides an effective way to collect labels from crowd workers. • Label integration aims to infer the unknown true label of each instance. • This paper proposes a supervised learning-based label integration algorithm. • The extensive experiments validate the effectiveness of the proposed algorithm.
Keywords:
label integration
crowdsourcing
supervised learning
label inference
machine learning
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W