Oswin Krause
Adjunkt, Lektor
- Udgivet
Unbounded population MO-CMA-ES for the bi-objective BBOB test suite
Krause, Oswin, Glasmachers, T., Hansen, N. & Igel, Christian, 2016, Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, s. 1177-1184 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
The hessian estimation evolution strategy
Glasmachers, T. & Krause, Oswin, 2020, Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020, Proceedings. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (red.). Springer, s. 597-609 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12269 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Sparse incomplete LU-decomposition for wave farm designs under realistic conditions
Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 jan. 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, s. 512-524 13 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11101 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Semantic similarity metrics for image registration
Czolbe, Steffen, Pegios, P., Krause, Oswin & Feragen, A., 2023, I: Medical Image Analysis. 87, 16 s., 102830.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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. (red.). Springer, s. 33-43 (Lecture Notes in Computer Science, Bind 13611).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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. (red.). Springer, s. 295-308 14 s. (Lecture Notes in Computer Science, Bind 13399 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: The Journal of Machine Learning for Biomedical Imaging. 2022, s. 1-24 015.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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, s. 139-148 10 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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, I: Europace. 21, 2, s. 268–274Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Population-Contrastive-Divergence: Does consistency help with RBM training?
Krause, Oswin, Fischer, A. & Igel, Christian, 2018, I: Pattern Recognition Letters. 102, s. 1-7Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 40813873
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
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Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
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Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Publikation: Working paper › Preprint › Forskning
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