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84 Publikationen
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2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066

M. Zurowietz, et al., “MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration ”, PLoS ONE, vol. 13, 2018, : e0207498.
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2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039

D. Langenkämper, R. van Kevelaer, and T.W. Nattkemper, “Strategies for Tackling the Class Imbalance Problem in Marine Image Classification”, Presented at the International Conference on Pattern Recognition 2018, Computer Vision for Automated Analysis of Underwater Imagery Workshop, Beijing, Accepted.
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2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190

D. Langenkämper, et al., “BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections”, Frontiers in Marine Science, vol. 4, 2017, : 83.
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2016 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2907705
B. Brink, et al., “Omics Fusion - A Platform for Integrative Analysis of Omics Data”, Journal of Integrative Bioinformatics, vol. 13, 2016, : 296.
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2014 | Konferenzband | Veröffentlicht | PUB-ID: 2901695
R. Giegerich, R. Hofestädt, and T.W. Nattkemper, eds., “German Conference on Bioinformatics 2014”, GI-Edition: lecture notes in informatics, vol. 235, 2014.
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2455753

S.-E.-A. Raza, et al., “RAMTaB: Robust Alignment of Multi-Tag Bioimages”, PLoS ONE, vol. 7, 2012, pp. e30894.
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2498232
C. Trötschel, et al., “Protein turnover quantification in a multi-labeling approach - from data calculation to evaluation”, Molecular & Cellular Proteomics, vol. 11, 2012, pp. 512-526.
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2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2481783

J. Kölling, et al., “WHIDE - A web tool for visual data mining colocation patterns in multivariate bioimages”, Bioinformatics, vol. 28, 2012, pp. 1143-1150.
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2012 | Konferenzbeitrag | PUB-ID: 2515700
T. Schoening, et al., “Investigation of hidden parameters influencing the automated object detection in benthic images”, Presented at the IEEE OCEANS 2012 MTS/IEEE, Hampton Roads, Virginia, USA, 2012.
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2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2300063

S. Albaum, et al., “A guide through the computational analysis of isotope-labeled mass spectrometry-based quantitative proteomics data: an application study”, Proteome Science, vol. 9, 2011, pp. 30.
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