Crowd-Assisted Machine Learning: Current Issues and Future Directions

Jiangtao Wang, Yasha Wang, Qin Lv

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Many intelligent computing tasks cannot be fully handled by machines. This article reviews crowd-assisted machine learning (ML) opportunities for future research, identifies the main challenges of ML with pure machine intelligence, and proposes a crowd-assisted framework, Crowd4ML
Original languageEnglish
Pages (from-to)46-53
Number of pages8
Issue number1
Publication statusPublished - 1 Jan 2019
Externally publishedYes

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