Stephen Alstrup
Professor
- 2017
- Udgivet
Near-Optimal Induced Universal Graphs for Bounded Degree Graphs
Abrahamsen, Mikkel, Alstrup, Stephen, Holm, Jacob, Knudsen, M. B. T. & Stöckel, M., 2017, 44th International Colloquium on Automata, Languages, and Programming (ICALP 201. Chatzigiannaki, I., Indyk, P., Kuhn, F. & Muscholl, A. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 1-14 128. (Leibniz International Proceedings in Informatics (LIPIcs), Bind 80).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
DABAI: A data driven project for e-Learning in Denmark
Alstrup, Stephen, Hansen, C., Hansen, C., Hjuler, N., Lorenzen, S. & Pham, N., 1 jan. 2017, ECEL17 - Proceedings of the 16th European Conference on e-Learning. Peres, P. & Mesquita, A. (red.). Academic Conferences and Publishing International, s. 18-24 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Optimal induced universal graphs and adjacency labeling for trees
Alstrup, Stephen, Dahlgaard, S. & Knudsen, M. B. T., sep. 2017, I: Journal of the ACM. 64, 4, 22 s., 27.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Smart city analytics: ensemble-learned prediction of citizen home care
Hansen, C., Hansen, C., Alstrup, Stephen & Lioma, Christina, 2017, Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2095-2098 4 s.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
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
ID: 37604428
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High-school dropout prediction using machine learning: a Danish large-scale study
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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429
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Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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281
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Distance labeling schemes for trees
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Udgivet