- Published
Usability, acceptability, and adherence to an electronic self-monitoring system in patients with major depression discharged from inpatient wards
Lauritsen, L., Andersen, L., Olsson, E., Søndergaard, S. R., Nørregaard, L. B., Løventoft, P. K., Svendsen, S. D., Frøkjær, Erik, Jensen, H. M., Hageman, Ida, Kessing, Lars Vedel & Martiny, Klaus, Apr 2017, In: Journal of Medical Internet Research. 19, 4, 12 p., e123.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Usability and User Experience Information in Reviews
Hedegaard, S., 2014, Department of Computer Science, Faculty of Science, University of Copenhagen.Research output: Book/Report › Ph.D. thesis › Research
- Published
Usability Inspection by Metaphors of Human Thinking Compared to Heuristic Evaluation
Hornbæk, Kasper & Frøkjær, Erik, 2004, In: International Journal of Human-Computer Interaction. 17(3), p. 357-374Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Unsupervised sequence segmentation by a mixture of variable memory length Markov sources
Seldin, Yevgeny, Bejerano, G. & Tishby, N., 2001, Proceedings of the 18th International Conference on Machine Learning (ICML).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unsupervised segmentation and classification of mixtures of Markovian sources
Seldin, Yevgeny, Starik, S. & Werman, M., 2003.Research output: Contribution to conference › Paper › Research › peer-review
- Published
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, P., Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1322-1331 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Unsupervised behaviour-specific dictionary learning for abnormal event detection
Ren, H., Liu, W., Olsen, Søren Ingvor, Escalera, S. & Moeslund, T. B., 2015, Proceedings of the British Machine Vision Conference 2015. Xie, X., Jones, M. W. & Tam, G. K. L. (eds.). BMVA, p. 28.1-28.13 13 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing
Barrett, M. J., Gonzalez, Ana Valeria, Frermann, L. & Søgaard, Anders, 2018, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies, (Long Papers) . Cordeiro, S. R., Oraby, S., Pavalanathan, U. & Rim, K. (eds.). Association for Computational Linguistics, Vol. 1. p. 2028-2038 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unsupervised Evaluation for Question Answering with Transformers
Muttenthaler, L., Augenstein, Isabelle & Bjerva, J., 2020, Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, p. 83-90Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unscented Kalman filtering on Riemannian manifolds
Hauberg, S., Lauze, Francois Bernard & Steenstrup Pedersen, Kim, 2013, In: Journal of Mathematical Imaging and Vision. 46, 1, p. 103-120 18 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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