Stephen Alstrup
Professor
- 2017
- 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
- Published
Optimal induced universal graphs and adjacency labeling for trees
Alstrup, Stephen, Dahlgaard, S. & Knudsen, M. B. T., Sep 2017, In: Journal of the ACM. 64, 4, 22 p., 27.Research output: Contribution to journal › Journal article › 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
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. (eds.). Academic Conferences and Publishing International, p. 18-24 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 1-14 128. (Leibniz International Proceedings in Informatics (LIPIcs), Vol. 80).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, p. 2095-2098 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 37604428
Most downloads
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1086
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High-school dropout prediction using machine learning: a Danish large-scale study
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
429
downloads
Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published -
282
downloads
Distance labeling schemes for trees
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published