Stephen Alstrup
Professor
- Published
High-school dropout prediction using machine learning: a Danish large-scale study
Şara, N., Halland, R., Igel, Christian & Alstrup, Stephen, 2015, Proceedings. ESANN 2015: 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (ed.). i6doc.com, p. 319-324 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Detecting ghostwriters in high schools
Stavngaard, M., Sørensen, A., Lorenzen, S., Hjuler, N. & Alstrup, Stephen, 2019, ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. ESANN (i6doc.com), p. 197-202 6 p. (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
- Published
Investigating Writing Style Development in High School
Lorenzen, S. S., Hjuler, N. O. D. & Alstrup, Stephen, 2019, Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019). Université du Québec à Montréal, p. 572-575Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
On predicting student performance using low-rank matrix factorization techniques
Lorenzen, S. S., Pham, D. N. & Alstrup, Stephen, Oct 2017, ECEL17 - Proceedings of the 16th European Conference on e-Learning. Peres, P. & Mesquita, A. (eds.). Academic Conferences and Publishing International, p. 326-334 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Tracking behavioral patterns among students in an online educational system
Lorenzen, S., Hjuler, N. & Alstrup, Stephen, 2018, Proceedings of the 11'th International Conference on Educational Data Mining. EDM / Educational Data Mining, p. 280-285Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Temporal context for authorship attribution: a study of Danish secondary schools
Hansen, N. D., Lioma, Christina, Larsen, B. & Alstrup, Stephen, 2014, Multidisciplinary information retrieval: 7th Information Retrieval Facility Conference, IRFC 2014, Copenhagen, Denmark, November 10-12, 2014, Proceedings. Lamas, D. & Buitelaar, P. (eds.). Springer, p. 22-40 19 p. (Lecture notes in computer science, Vol. 8849).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Unsupervised multi-index semantic hashing
Hansen, C., Hansen, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, Inc, p. 2879-2889 (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Sequence Modeling for Analysing Student Interaction with Educational Systems
Hansen, C., Hansen, C., Hjuler, N. O. D., Alstrup, Stephen & Lioma, Christina, 25 Jun 2017, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. Hu, X., Barnes, T., Hershkovitz, A. & Paquette, L. (eds.). International Educational Data Mining Society (IEDMS), p. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Modelling End-of-Session Actions in Educational Systems
Hansen, C., Hansen, C., Alstrup, Stephen & Lioma, Christina, 2019, Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019). Université du Québec à Montréal, p. 306-311Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Factuality Checking in News Headlines with Eye Tracking
Hansen, C., Hansen, C., Simonsen, Jakob Grue, Larsen, B., Alstrup, Stephen & Lioma, Christina, 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 2013-2016 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 37604428
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High-school dropout prediction using machine learning: a Danish large-scale study
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Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
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277
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Distance labeling schemes for trees
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Published