- 2023
- 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. 114-130Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Diffusivity-limited q-space trajectory imaging
Boito, D., Herberthson, M., Dela Haije, T., Blystad, I. & Özarslan, E., 2023, In: Magnetic Resonance Letters. 3, 2, p. 187-196Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- Published
A complete characterization of infinitely repeated two-player games having computable strategies with no computable best response under limit-of-means payoff
Dargaj, J. & Simonsen, Jakob Grue, 2023, In: Journal of Economic Theory. 213, 24 p., 105713.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
- Published
Interactive visual facets to support fluid exploratory search
He, C., Micallef, L., Serim, B., Vuong, T., Ruotsalo, T. & Jacucci, G., 2023, In: Journal of Visualization. 26, p. 211–230Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep learning and computer vision techniques for microcirculation analysis: A review
Helmy, M., Truong, T. T., Jul, Eric & Ferreira, P., 2023, In: Patterns. 4, 1, 100641.Research output: Contribution to journal › Review › Research › peer-review
- 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
- Published
MULTIFIN: A Dataset for Multilingual Financial NLP
Jørgensen, R. K., Brandt, O., Hartmann, M., Dai, X., Igel, Christian & Elliott, Desmond, 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. Association for Computational Linguistics (ACL), p. 864-879Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
High-Entropy Oxides in the Mullite-Type Structure
Kirsch, Andrea, Bøjesen, E. D., Lefeld, N., Larsen, R., Mathiesen, J. K., Skjærvø, S. L., Pittkowski, Rebecca Katharina, Sheptyakov, D. & Jensen, Kirsten Marie Ørnsbjerg, 2023, In: Chemistry of Materials. 35, 20, p. 8664−8674 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Addressing the path-length-dependency confound in white matter tract segmentation
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Virtual Trackballs Revisited
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Locally orderless registration
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Field report for Platform mBox: Designing an Open MMLA Platform
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Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
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OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data
Research output: Contribution to journal › Letter › Research › peer-review