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Cheaper and Better: Selecting Good Workers for Crowdsourcing

Cheaper and Better: Selecting Good Workers for Crowdsourcing

3 February 2015
Hongwei Li
Qiang Liu
ArXiv (abs)PDFHTML

Papers citing "Cheaper and Better: Selecting Good Workers for Crowdsourcing"

5 / 5 papers shown
LEAD Dataset: How Can Labels for Sound Event Detection Vary Depending on
  Annotators?
LEAD Dataset: How Can Labels for Sound Event Detection Vary Depending on Annotators?Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2024
Naoki Koga
Yoshiaki Bando
Keisuke Imoto
197
0
0
13 Oct 2024
Cross-domain-aware Worker Selection with Training for Crowdsourced
  Annotation
Cross-domain-aware Worker Selection with Training for Crowdsourced Annotation
Yushi Sun
Jiachuan Wang
Peng Cheng
Libin Zheng
Lei Chen
Jian Yin
200
2
0
11 Jun 2024
Operational Collective Intelligence of Humans and Machines
Operational Collective Intelligence of Humans and Machines
Nikolos Gurney
Fred Morstatter
David Pynadath
Adam Russell
Gleb Satyukov
AI4CE
226
0
0
16 Feb 2024
Towards Unbiased and Accurate Deferral to Multiple Experts
Towards Unbiased and Accurate Deferral to Multiple ExpertsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Vijay Keswani
Matthew Lease
K. Kenthapadi
FaML
189
88
0
25 Feb 2021
BUOCA: Budget-Optimized Crowd Worker Allocation
BUOCA: Budget-Optimized Crowd Worker Allocation
M. Sameki
Sha Lai
Kate K. Mays
Lei Guo
Prakash Ishwar
Margrit Betke
183
3
0
11 Jan 2019
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