Digital Library
Close Browse articles from a journal
 
<< previous   
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 4 of 4 found articles
 
 
  Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks
 
 
Title: Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks
Author: Lyu, Lingyu
Kantardzic, Mehmed
Sethi, Tegjyot Singh
Appeared in: International journal of data science and analytics
Paging: Volume 7 (2018) nr. 3 pages 179-199
Year: 2018
Contents:
Publisher: Springer International Publishing, Cham
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 4 found articles
 
<< previous   
 
 Koninklijke Bibliotheek - National Library of the Netherlands