Oswin Krause

Oswin Krause

Assistant Professor, Tenure Track Assistant Professor

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    ORCID: 0000-0002-0990-559X

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    1. Published

      Multi-objective optimization with unbounded solution sets

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 p.

      Research output: Contribution to conference › Paper › Research › peer-review

    2. Published

      Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

      Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, Jan 2022, arXiv.org, 29 p.

      Research output: Working paper › Preprint › Research

    3. Published

      Population Monte Carlo meets contrastive divergence learning

      Krause, Oswin, Fischer, A. & Igel, Christian, 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (eds.). p. 93-94 2 p.

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

    4. Published

      Population-Contrastive-Divergence: Does consistency help with RBM training?

      Krause, Oswin, Fischer, A. & Igel, Christian, 2018, In: Pattern Recognition Letters. 102, p. 1-7

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

    5. Published

      Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

      Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, C., Aranda, A., Moll, J., Andersen, Tariq Osman, Svendsen, Jesper Hastrup, Petersen, H. H. & Igel, Christian, 2019, In: Europace. 21, 2, p. 268–274

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

    6. Published

      Qualitative and quantitative assessment of step size adaptation rules

      Krause, Oswin, Glasmachers, T. & Igel, Christian, 2017, Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, p. 139-148 10 p.

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

    7. Published

      Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy

      Arnavaz, Kasra, Krause, Oswin, Zepf, K., Bærentzen, J. A., Miskovic Krivokapic, Jelena, Heilmann, Silja, Nyeng, P. & Feragen, A., 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 015.

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

    8. Published

      Recombination Weight Based Selection in the DTS-CMA-ES

      Krause, Oswin, 2022, Parallel Problem Solving from Nature: PPSN XVII - 17th International Conference, PPSN 2022, Proceedings, Part II. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (eds.). Springer, p. 295-308 14 p. (Lecture Notes in Computer Science, Vol. 13399 LNCS).

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

    9. Published

      Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

      Lu, J., Yin, C., Krause, Oswin, Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (eds.). Springer, p. 33-43 (Lecture Notes in Computer Science, Vol. 13611).

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

    10. Published

      Semantic similarity metrics for image registration

      Czolbe, Steffen, Pegios, P., Krause, Oswin & Feragen, A., 2023, In: Medical Image Analysis. 87, 16 p., 102830.

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

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    ID: 40813873