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
- 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
- Published
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
- Published
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
Neural speed reading with structural-jump-LSTM
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019.Research output: Contribution to conference › Paper › Research › peer-review
- Published
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, 4 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
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
- 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
Contextually propagated term weights for document representation
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 18 Jul 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 897-900 (SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unsupervised neural generative semantic hashing
Hansen, C., Hansen, C., Simonsen, Jakob Grue, Alstrup, Stephen & Lioma, Christina, 2019, SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, p. 735-744 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unsupervised Semantic Hashing with Pairwise Reconstruction
Hansen, C., Hansen, C., Simonsen, Jakob Grue, 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. 2009-2012 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Neural check-worthiness ranking with weak supervision: Finding sentences for fact-checking
Hansen, C., Hansen, C., Alstrup, Stephen, Simonsen, Jakob Grue & Lioma, Christina, 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, p. 994-1000 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Content-aware Neural Hashing for Cold-start Recommendation
Hansen, C., Hansan, C., Simonsen, Jakob Grue, 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. 971-980 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Distribution method, preferably applied in a streaming system
Alstrup, Stephen & Rauhe, T., 1 Aug 2009Research output: Patent
- 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
Simpler, faster and shorter labels for distances in graphs
Alstrup, Stephen, Gavoille, C., Halvorsen, E. B. & Petersen, H., 2016, Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, p. 338-350 13 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Word encoding tree connectivity works
Alstrup, Stephen, Secher, J. P. & Thorup, Mikkel, 2000, Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms. p. 498-499 2 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
Efficient tree layout in a multilevel memory hierarchy
Alstrup, Stephen, Bender, M. A., Demaine, E. D., Farach-Colton, M., Rauhe, T. & Thorup, Mikkel, 2002, In: arXiv preprint cs/0211010.Research output: Contribution to journal › Journal article › Research
Finding dominators in linear time
Alstrup, Stephen, Lauritzen, P. W. & Thorup, Mikkel, 1996, (DIKU Report).Research output: Working paper › Research
ID: 37604428
Most downloads
-
1083
downloads
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