%0 Conference Paper %1 rabiger2018does %A Räbiger, Stefan %A Gezici, Gizem %A Saygın, Yücel %A Spiliopoulou, Myra %B 2018 IEEE 5th International Conference on Data Science andAdvanced Analytics (DSAA) %D 2018 %K kmd %P 179--188 %T Predicting worker disagreement for more effective crowd labeling

@inproceedings{rabiger2018does, added-at = {2020-09-06T18:11:37.000+0200}, author = {R{\"a}biger, Stefan and Gezici, Gizem and Sayg{\i}n, Y{\"u}cel and Spiliopoulou, Myra}, biburl = {https://www.bibsonomy.org/bibtex/2f7458416584e5f184528c779833f2672/kmd-ovgu}, booktitle = {2018 IEEE 5th International Conference on Data Science andAdvanced Analytics (DSAA)}, interhash = {14cc3c5c4a12eeac0b53072b7aeea43d}, intrahash = {f7458416584e5f184528c779833f2672}, keywords = {kmd}, organization = {IEEE}, pages = {179--188}, timestamp = {2020-09-06T18:11:37.000+0200}, title = {Predicting worker disagreement for more effective crowd labeling}, year = 2018 }