Stephen Alstrup

Stephen Alstrup

Professor

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    ORCID: 0000-0001-7896-8386

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    1. Published

      Compact labeling scheme for ancestor queries

      Abiteboul, S., Alstrup, Stephen, Kaplan, H., Milo, T. & Rauhe, T., 2006, In: SIAM Journal on Computing. 35, 6, p. 1295-1309 15 p.

      Research output: Contribution to journal › Journal article › Research › peer-review

    2. 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

    3. Published

      Constructing light spanners deterministically in near-linear time

      Alstrup, Stephen, Dahlgaard, S., Filtser, A., Stöckel, M. & Wulff-Nilsen, Christian, 12 Mar 2022, In: Theoretical Computer Science. 907, p. 82-112

      Research output: Contribution to journal › Journal article › Research › peer-review

    4. 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

    5. 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

    6. 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

    7. Published

      Danish cross-disciplinary consortium with a focus on utilizing IT in schools: results and future directions

      Alstrup, Stephen, 2014. 1 p.

      Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

    8. Published

      Danmark: et digitalt uland?

      Alstrup, Stephen, 21 Oct 2014

      Research output: Other contribution › Net publication - Internet publication › Communication

    9. Published

      Data live streaming system e.g. for music, has input broadcaster and several peers each generating loss resilient code representations of data from input broadcaster

      Alstrup, Stephen & Rauhe, T., 29 Sep 2005, IPC No. H04L-029/06, Patent No. WO2005091585-A1, 29 Sep 2005, Priority date 22 Mar 2004, Priority No. WODK000197

      Research output: Patent

    10. 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

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