Predicting Worker Disagreement for More Effective Crowd Labeling

Stefan Räbiger, Gizem Gezici, Yücel Saygin, Myra Spiliopoulou. Predicting Worker Disagreement for More Effective Crowd Labeling. In Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang 0010, Ciro Cattuto, Rayid Ghani, editors, 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. pages 179-188, IEEE, 2018. [doi]

@inproceedings{RabigerGSS18,
  title = {Predicting Worker Disagreement for More Effective Crowd Labeling},
  author = {Stefan Räbiger and Gizem Gezici and Yücel Saygin and Myra Spiliopoulou},
  year = {2018},
  doi = {10.1109/DSAA.2018.00028},
  url = {https://doi.org/10.1109/DSAA.2018.00028},
  researchr = {https://researchr.org/publication/RabigerGSS18},
  cites = {0},
  citedby = {0},
  pages = {179-188},
  booktitle = {5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018},
  editor = {Francesco Bonchi and Foster J. Provost and Tina Eliassi-Rad and Wei Wang 0010 and Ciro Cattuto and Rayid Ghani},
  publisher = {IEEE},
  isbn = {978-1-5386-5090-5},
}