On the Influence of the Number of Anomalous and Normal Examples in Anomaly-Based Annotation Errors Detection

Jindrich Matousek, Daniel Tihelka. On the Influence of the Number of Anomalous and Normal Examples in Anomaly-Based Annotation Errors Detection. In Petr Sojka, Ales Horák, Ivan Kopecek, Karel Pala, editors, Text, Speech, and Dialogue - 19th International Conference, TSD 2016, Brno, Czech Republic, September 12-16, 2016, Proceedings. Volume 9924 of Lecture Notes in Computer Science, pages 326-334, Springer, 2016. [doi]

@inproceedings{MatousekT16-0,
  title = {On the Influence of the Number of Anomalous and Normal Examples in Anomaly-Based Annotation Errors Detection},
  author = {Jindrich Matousek and Daniel Tihelka},
  year = {2016},
  doi = {10.1007/978-3-319-45510-5_37},
  url = {http://dx.doi.org/10.1007/978-3-319-45510-5_37},
  researchr = {https://researchr.org/publication/MatousekT16-0},
  cites = {0},
  citedby = {0},
  pages = {326-334},
  booktitle = {Text, Speech, and Dialogue - 19th International Conference, TSD 2016, Brno, Czech Republic, September 12-16, 2016, Proceedings},
  editor = {Petr Sojka and Ales Horák and Ivan Kopecek and Karel Pala},
  volume = {9924},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-45509-9},
}