most citedA Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.HC2023★ 11 cited

A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd

Jianheng Tang, Kejia Fan, Wenxuan Xie +6

The recruitment of trustworthy and high-quality workers is an important research issue for MCS. Previous studies either assume that the qualities of workers are known in advance, o…