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A Technical Survey on Statistical Modelling and Design Methods for
  Crowdsourcing Quality Control

A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control

5 December 2018
Yuan Jin
Mark J. Carman
Ye Zhu
Yong Xiang
ArXiv (abs)PDFHTML

Papers citing "A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control"

5 / 5 papers shown
Title
Towards AI-Empowered Crowdsourcing
Towards AI-Empowered Crowdsourcing
Shipeng Wang
Qingzhong Li
Li-zhen Cui
Zhongmin Yan
Yonghui Xu
Zhuan Shi
Xinping Min
Zhiqi Shen
Han Yu
HAI
39
0
0
28 Dec 2022
A Light-weight, Effective and Efficient Model for Label Aggregation in
  Crowdsourcing
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing
Yi Yang
Zhong-Qiu Zhao
Quan-wei Bai
Qing Liu
Weihua Li
FedML
49
2
0
19 Nov 2022
Critiquing-based Modeling of Subjective Preferences
Critiquing-based Modeling of Subjective Preferences
A. Medlar
Jing Li
Yang Liu
D. Głowacka
48
1
0
22 Oct 2021
A Survey on Cost Types, Interaction Schemes, and Annotator Performance
  Models in Selection Algorithms for Active Learning in Classification
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification
M. Herde
Denis Huseljic
Bernhard Sick
A. Calma
86
25
0
23 Sep 2021
Learning from Multiple Annotators by Incorporating Instance Features
Learning from Multiple Annotators by Incorporating Instance Features
Jingzheng Li
Hailong Sun
Jiyi Li
Zhijun Chen
Renshuai Tao
Yufei Ge
NoLa
65
5
0
29 Jun 2021
1