Assessing workers reliability in crowd-sourced computing using Bayesian rules

[1]  Norman E. Fenton,et al.  Improved reliability modeling using Bayesian networks and dynamic discretization , 2010, Reliab. Eng. Syst. Saf..

[2]  Chris Mellish,et al.  Crowdsourcing Without a Crowd , 2016, ACM Trans. Intell. Syst. Technol..

[3]  Luca de Alfaro,et al.  Reliable Aggregation of Boolean Crowdsourced Tasks , 2015, HCOMP.

[4]  Qinghua Zhu,et al.  Evaluation on crowdsourcing research: Current status and future direction , 2012, Information Systems Frontiers.

[5]  Fabio Casati,et al.  Modeling, Enacting, and Integrating Custom Crowdsourcing Processes , 2015, TWEB.

[6]  Tom Minka,et al.  How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing , 2012, ICML.

[7]  Matthew Lease,et al.  Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings , 2016, HCOMP.

[8]  Daniel Schall.  Automatic Quality Management in Crowdsourcing [Leading Edge] , 2013, IEEE Technology and Society Magazine.

[9]  Jian Peng,et al.  Variational Inference for Crowdsourcing , 2012, NIPS.

[10]  Gianluca Demartini,et al.  ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking , 2012, WWW.

[11]  Fenglong Ma,et al.  Crowdsourcing High Quality Labels with a Tight Budget , 2016, WSDM.

[12]  Chris Van Pelt,et al.  Designing a scalable crowdsourcing platform , 2012, SIGMOD Conference.

[13]  Milad Shokouhi,et al.  Community-based bayesian aggregation models for crowdsourcing , 2014, WWW.