Department of Computer Science

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  1. 2023
  2. Published

    Online transfer learning with partial feedback

    Kang, Zhongfeng, Nielsen, Mads, Yang, B., Deng, L. & Lorenzen, S. S., 2023, In: Expert Systems with Applications. 212, 13 p., 118738.

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

  3. 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

  4. 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

  5. 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

  6. Published

    The efficiency of artificial intelligence methods for finding radiographic features in different endodontic treatments - a systematic review

    bzd222, bzd222, Dascalu, Tudor-Laurentiu, Bakhshandeh, Azam, Ibragimov, Bulat, Kvist, T., EndoReCo, E. & Bjørndal, Lars, 2023, In: Acta Odontologica Scandinavica. 81, 6, p. 422-435 14 p.

    Research output: Contribution to journal › Review › Research › peer-review

  7. Published

    Tiling with Squares and Packing Dominos in Polynomial Time

    Aamand, A., Abrahamsen, Mikkel, Rasmussen, Peter Michael Reichstein & Ahle, T. D., 2023, In: ACM Transactions on Algorithms. 19, 3, p. 1-28 30.

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

  8. Published

    Towards a Dereversibilizer: Fewer Asserts, Statically

    Reholt, Jonas Wolpers, Glück, Robert & Kruse, M., 2023, Reversible Computation - 15th International Conference, RC 2023, Proceedings. Kutrib, M. & Meyer, U. (eds.). Springer, p. 106-114 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13960 LNCS).

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

  9. 2024
  10. 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

  11. 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

  12. 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

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