Research output per year
Research output per year
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Dive into the research topics where Jes Frellsen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Deep transfer learning can be used for the detection of hip joints in pelvis radiographs and the classification of their hip dysplasia status
McEvoy, F. J., Proschowsky, H. F., Müller, A. V., Moorman, L., Bender-Koch, J., Svalastoga, E. L., Frellsen, J. & Nielsen, D. H., 2021, (Accepted/In press) In: Veterinary Radiology and Ultrasound. 7 p.Research output: Contribution to journal › Journal article › peer-review
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Hierarchical VAEs Know What They Don't Know
Havtorn, J. D., Frellsen, J., Hauberg, S. & Maaløe, L., 2021, Proceedings of the 38th International Conference on Machine Learning. International Machine Learning Society (IMLS), 12 p. (Proceedings of Machine Learning Research, Vol. 139).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile10 Downloads (Pure) -
Neural network predictions of the simulated rheological response of cement paste in the FlowCyl
Sheiati, S., Ranjbar, N., Frellsen, J., Skare, E. L., Cepuritis, R., Jacobsen, S. & Spangenberg, J., 2021, (Accepted/In press) In: Neural Computing and Applications.Research output: Contribution to journal › Journal article › peer-review
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not-MIWAE: Deep Generative Modelling with Missing not at Random Data
Ipsen, N. B., Mattei, P-A. & Frellsen, J., 2021, Proceedings of 9th International Conference on Learning Representations. 18 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile4 Downloads (Pure) -
When Did the Train Arrive? A Bayesian Approach to Enrich Timetable Information Using Smart Card Data
Lemaitre, P., Andersen, M. R. & Frellsen, J., 2021, In: Ieee Open Journal of Intelligent Transportation Systems. 2, p. 160-172Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Pure)
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Uncertainty Quantification for Deep Learning Segmentation Models of Anatomical Networks
Zepf, K. M., Feragen, A. & Frellsen, J.
01/05/2021 → 30/04/2024
Project: PhD
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Deep Generative Models and Missing Data
Sénétaire, H. H. J., Frellsen, J. & Mattei, P.
01/12/2020 → 30/11/2023
Project: PhD
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Deep Generative Models for Collaborative Filtering
Bergamin, F., Frellsen, J. & Hauberg, S.
01/10/2020 → 30/09/2023
Project: PhD
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Uncertainty estimation for machine learning system self-assessment on medical conversations
Havtorn, J. D., Frellsen, J., Hauberg, S., Maaløe, L., Winther, O. & Agic, Z.
01/09/2020 → 31/08/2023
Project: PhD
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Deep Generative Modelling in the Spatial Domain
Khomiakov, M., Frellsen, J., Andersen, M. R. & Jørgensen, S. F.
01/08/2020 → 24/01/2023
Project: PhD