@inproceedings{bd082f513a2b43cf8c4414d512a549c7,
title = "Detecting ghostwriters in high schools",
abstract = "Students hiring ghostwriters to write their assignments is an increasing problem in educational institutions all over the world, with companies selling these services as a product. In this work, we develop automatic techniques with special focus on detecting such ghostwriting in high school assignments. This is done by training deep neural networks on an unprecedented large amount of data supplied by the Danish company MaCom, which covers 90% of Danish high schools. We achieve an accuracy of 0.875 and a AUC score of 0.947 on an evenly split data set.",
author = "Magnus Stavngaard and August S{\o}rensen and Stephan Lorenzen and Niklas Hjuler and Stephen Alstrup",
year = "2019",
language = "English",
series = "ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",
publisher = "ESANN (i6doc.com)",
pages = "197--202",
booktitle = "ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",
note = "27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019 ; Conference date: 24-04-2019 Through 26-04-2019",
}