Stephen Alstrup
Professor
- 2017
- 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
- 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
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
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
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
- 2018
- Published
A Hamiltonian Cycle in the Square of a 2-connected Graph in Linear Time
Alstrup, Stephen, Georgakopoulos, A., Rotenberg, E. & Thomassen, C., 2018, Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms. Czumaj, A. (ed.). Society for Industrial and Applied Mathematics, p. 1645-1649Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- 2019
- Published
Adjacency Labeling Schemes and Induced-Universal Graphs
Alstrup, Stephen, Kaplan, H., Thorup, Mikkel & Zwick, U., 2019, In: SIAM Journal on Discrete Mathematics. 33, 1, p. 116-137Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Constructing light spanners deterministically in near-linear time
Alstrup, Stephen, Dahlgaard, S., Filtser, A., Stöckel, M. & Wulff-Nilsen, Christian, 2019, 27th Annual European Symposium on Algorithms, ESA 2019. Bender, M. A., Svensson, O. & Herman, G. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 15 p. 4. (Leibniz International Proceedings in Informatics, LIPIcs, Vol. 144).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 37604428
Most downloads
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1082
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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 -
427
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 -
277
downloads
Distance labeling schemes for trees
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published