Stephen Alstrup
Professor
- Udgivet
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. (red.). i6doc.com, s. 319-324 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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), s. 197-202 6 s. (ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 572-575Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
On predicting student performance using low-rank matrix factorization techniques
Lorenzen, S. S., Pham, D. N. & Alstrup, Stephen, okt. 2017, ECEL17 - Proceedings of the 16th European Conference on e-Learning. Peres, P. & Mesquita, A. (red.). Academic Conferences and Publishing International, s. 326-334 9 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 280-285Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 22-40 19 s. (Lecture notes in computer science, Bind 8849).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 2879-2889 (The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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. (red.). International Educational Data Mining Society (IEDMS), s. 232-237 (Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25 – 28, 2017).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 306-311Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, s. 2013-2016 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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Distance labeling schemes for trees
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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