Research output per year
Research output per year
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Dive into the research topics where Aasa Feragen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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diffConv: Analyzing Irregular Point Clouds with an Irregular View
Lin, M. & Feragen, A., 2022, (Accepted/In press) Proceedings of the 17th European Conference Computer Vision. Springer, 17 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile -
Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space
Calissano, A., Feragen, A. & Vantini, S., 2022, In: Journal of Multivariate Analysis. 190, 14 p., 104950.Research output: Contribution to journal › Journal article › Research › peer-review
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Bayesian Active Learning for Maximal Information Gain on Model Parameters
Arnavaz, K., Feragen, A., Krause, O. & Loog, M., 2021, Proceedings of 2020 25th International Conference on Pattern Recognition. IEEE, p. 10524-10531Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile120 Downloads (Pure) -
Conceptual Parallels Between Stochastic Geometry and Diffusion-Weighted MRI
Dela Haije, T. & Feragen, A., 2021, Anisotropy Across Fields and Scales. Özarslan, E., Schultz, T., Zhang, E. & Fuster, A. (eds.). Springer, p. 193-202 (Mathematics and Visualization).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile37 Downloads (Pure) -
Is Segmentation Uncertainty Useful?
Czolbe, S., Arnavaz, K., Krause, O. & Feragen, A., 2021, Information Processing in Medical Imaging. Springer, p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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SONAI
Christensen, A. N., Feragen, A., Pegios, P. & Mikolaj, K. W.
01/01/2022 → 31/12/2024
Project: Research
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Equivariant deep learning for network data
Hansen, A. A., Feragen, A., Winther, O. & Calissano, A.
01/01/2022 → 31/12/2024
Project: PhD
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POP-NETS: Learning from Populations of Networks
Feragen, A., Hansen, A. A. & Winther, O.
01/01/2022 → 31/12/2024
Project: Research
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Learning to Collaborate via Explainable AI in Medical Education
Lin, M., Feragen, A., Christensen, A. N. & Tolsgaard, M. G.
01/11/2021 → 31/10/2024
Project: PhD
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EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education
Feragen, A. & Christensen, A. N.
01/11/2021 → 31/05/2025
Project: Research