22 citations · 35 across the 5 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.HC2018★ 5 cited
A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control
Yuan Jin, Mark Carman, Ye Zhu +1
Online crowdsourcing provides a scalable and inexpensive means to collect knowledge (e.g. labels) about various types of data items (e.g. text, audio, video). However, it is also k…
cs.LG2018★ 22 cited
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities
Ye Zhu, Kai Ming Ting, Mark Carman +1
The problem of inhomogeneous cluster densities has been a long-standing issue for distance-based and density-based algorithms in clustering and anomaly detection. These algorithms…
cs.AI2018★ 3 cited
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing
Yuan Jin, Mark Carman, Ye Zhu +1
The questions in a crowdsourcing task typically exhibit varying degrees of difficulty and subjectivity. Their joint effects give rise to the variation in responses to the same ques…