Standard
Detecting ghostwriters in high schools. / Stavngaard, Magnus; Sørensen, August; Lorenzen, Stephan; Hjuler, Niklas; Alstrup, Stephen.
ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), 2019. p. 197-202 (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Stavngaard, M, Sørensen, A, Lorenzen, S, Hjuler, N & Alstrup, S 2019, Detecting ghostwriters in high schools. in ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp. 197-202, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019, Bruges, Belgium, 24/04/2019.
APA
Stavngaard, M., Sørensen, A., Lorenzen, S., Hjuler, N., & Alstrup, S. (2019). Detecting ghostwriters in high schools. In ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 197-202). ESANN (i6doc.com). ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Vancouver
Stavngaard M, Sørensen A, Lorenzen S, Hjuler N, Alstrup S. Detecting ghostwriters in high schools. In ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com). 2019. p. 197-202. (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).
Author
Stavngaard, Magnus ; Sørensen, August ; Lorenzen, Stephan ; Hjuler, Niklas ; Alstrup, Stephen. / Detecting ghostwriters in high schools. ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), 2019. pp. 197-202 (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).
Bibtex
@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",
}
RIS
TY - GEN
T1 - Detecting ghostwriters in high schools
AU - Stavngaard, Magnus
AU - Sørensen, August
AU - Lorenzen, Stephan
AU - Hjuler, Niklas
AU - Alstrup, Stephen
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
M3 - Article in proceedings
T3 - ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
SP - 197
EP - 202
BT - ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
PB - ESANN (i6doc.com)
T2 - 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019
Y2 - 24 April 2019 through 26 April 2019
ER -
