@inproceedings{herde2023who,
  abstract = {Crowdworking is a popular approach for annotating large amounts of data to train deep neural networks. However, parts of the annotations are often erroneous. In a case study, we demonstrate how an intelligent crowdworker selection via deep learning reduces the number of erroneous annotations and, thus, the annotation costs of obtaining reliable data for training deep neural networks.},
  author = {Herde, Marek and Huseljic, Denis and Sick, Bernhard and Bretschneider, Ulrich and Oeste-Reiß, Sarah},
  booktitle = {Workshop on Interactive Adapative Learning (IAL), ECML PKDD},
  codeurl = {https://github.com/ies-research/intelligent-crowdworker-selection},
  interhash = {0415b4181f1b0906b897fe3b672a652f},
  intrahash = {ddda1448b9e630fc1c900ccb5fdf24aa},
  pages = {14--18},
  title = {Who knows best? A Case Study on Intelligent Crowdworker Selection via Deep Learning},
  url = {https://ceur-ws.org/Vol-3470/paper3.pdf},
  year = 2023
}

@inproceedings{wegener2012tablet,
  address = {Braunschweig, Germany},
  author = {Wegener, René and Oeste, Sarah and Prinz, Andreas and Leimeister, Jan Marco},
  booktitle = {Mobile und ubiquitäre Informationssysteme MMS 2012},
  editor = {und ubiquitäre Informationssysteme MMS 2012, Mobile},
  interhash = {fd0c99516a61f1a9f597ae5e5cce16d9},
  intrahash = {ffe3aa8c4bed0683279b4a055fdc9802},
  note = 306,
  title = {Wann sind Tablet PCs die besseren Lernwerkzeuge? Ein empirischer Vergleich unterschiedlicher Endgeräte im Mobile Learning},
  url = {http://pubs.wi-kassel.de/wp-content/uploads/2013/03/JML_321.pdf},
  year = 2012
}