Publikationer pr. år
Publikationer pr. år
Personlig profil
Primære forskningsområder
I am a researcher in Machine-Learning and image processing.
My current area of interest involves
- Evolution Strategies for large-scale applications
- Reinforcement Learning
- Deep-Learning
Fingeraftryk
Dyk ned i forskningsemnerne, hvor Oswin Krause er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
- 4 Lignende profiler
Publikation
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Algorithms for estimating the partition function of restricted Boltzmann machines
Krause, O., Fischer, A. & Igel, C., jan. 2020, I: Artificial Intelligence. 278, 103195.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
Shakibfar, S., Krause, O., Lund-Andersen, C., Strycko, F., Moll, J., Osman Andersen, T., Høgh Petersen, H., Hastrup Svendsen, J. & Igel, C., 1 aug. 2019, I: PLoS ONE. 14, 8, e0219533.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Large-scale noise-resilient evolution-strategies
Krause, O., 13 jul. 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, s. 682-690 9 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning
Shakibfar, S., Krause, O., Lund-Andersen, C., Aranda, A., Moll, J., Andersen, T. O., Svendsen, J. H., Petersen, H. H. & Igel, C., 1 feb. 2019, I: Europace. 21, 2, s. 268–274Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Population-Contrastive-Divergence: Does consistency help with RBM training?
Krause, O., Fischer, A. & Igel, C., 15 jan. 2018, I: Pattern Recognition Letters. 102, s. 1-7Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Sparse incomplete LU-decomposition for wave farm designs under realistic conditions
Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, O., Igel, C. & 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 › peer review
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Convolutional neural networks for segmentation and object detection of human semen
Nissen, M. S., Krause, O., Almstrup, K., Kjærulff, S., Nielsen, T. T. & Nielsen, M., 2017, Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. Sharma, P. & Bianchi, F. M. (red.). Springer, Bind Part 1. s. 397-406 10 s. (Lecture notes in computer science, Bind 10269).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Qualitative and quantitative assessment of step size adaptation rules
Krause, O., Glasmachers, T. & Igel, C., 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 › peer review