Department of Computer Science

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  1. 2024
  2. Published

    Field report for Platform mBox: Designing an Open MMLA Platform

    Li, Zaibei, Jensen, Martin Thoft, Nolte, A. & Spikol, Daniel, 2024, LAK24 Conference Proceedings: Learning Analytics in the Age of Artificial Intelligence. Association for Computing Machinery, p. 785-791 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  3. Published

    Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Perslev, Mathias, Sheng, K., Ingala, S., Nielsen, Mads & Pai, A., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 158-164 (Proceedings of Machine Learning Research, Vol. 233).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    Partial Evaluation of Reversible Flowchart Programs

    Normann, Louis Marott & Glück, Robert, 2024, PEPM 2024 - Proceedings of the 2024 ACM SIGPLAN International Workshop on Partial Evaluation and Program Manipulation. Keller, G. & Wang, M. (eds.). Association for Computing Machinery, p. 119-133 15 p.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Accepted/In press

    Doorways Do Not Always Cause Forgetting: Studying the Effect of Locomotion Technique and Doorway Visualization in Virtual Reality

    van Gemert, Thomas, Kalaitzoglou, Ioannis, Chew, S. & Bergström, Joanna, 2024, (Accepted/In press) CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. New York, NY, United States: Association for Computing Machinery

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. 2023
  7. Published

    Optimal Decremental Connectivity in Non-Sparse Graphs

    Aamand, A., Karczmarz, A., Łącki, J., Parotsidis, N., Rasmussen, Peter Michael Reichstein & Thorup, Mikkel, 2023, 50th International Colloquium on Automata, Languages, and Programming, ICALP 2023. Etessami, K., Feige, U. & Puppis, G. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 1-17 6. (Leibniz International Proceedings in Informatics, LIPIcs, Vol. 261).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  8. Published

    Constructing Concise Convex Covers via Clique Covers

    Abrahamsen, Mikkel, Meyling, William Bille & Nusser, André Fritz, 2023, 39th International Symposium on Computational Geometry, SoCG 2023. Chambers, E. W. & Gudmundsson, J. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 1-9 66. (Leibniz International Proceedings in Informatics, LIPIcs, Vol. 258).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

    Arora, Arnav, Kaffee, L. & Augenstein, Isabelle, 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), p. 114-130

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

    Boserup, Nicklas & Selvan, Raghav, 2023, Proceedings of the Northern Lights Deep Learning Workshop 2023. Septentrio Academic Publishing, 8 p. (Proceedings of the Northern Lights Deep Learning Workshop, Vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. Published

    Delayed Bandits: When Do Intermediate Observations Help?

    Esposito, E., Masoudian, S., Qiu, H., van der Hoeven, D., Cesa-Bianchi, N. & Seldin, Yevgeny, 2023, Proceedings of the 40 th International Conference on Machine Learnin. PMLR, p. 9374-9395 22 p. (Proceedings of Machine Learning Research, Vol. 202).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  12. Published

    Rove-Tree-11: The not-so-Wild Rover. A hierarchically structured image dataset for deep metric learning research

    Hunt, Roberta Eleanor & Steenstrup Pedersen, Kim, 2023, Computer Vision – ACCV 2022: 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part I. Springer, p. 2967-2983 (Lecture Notes in Computer Science, Vol. 13841).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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