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90 Publikationen

2020 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2945097 PUB
 
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943901 OA
An Interactive Visualization for Feature Localization in Deep Neural Networks
Zurowietz M, Nattkemper TW (2020)
Frontiers in Artificial Intelligence - Machine Learning and Artificial Intelligence 3: 49.
PUB | PDF | DOI | Download (ext.)
 
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2944758 OA
Gear-Induced Concept Drift in Marine Images and Its Effect on Deep Learning Classification
Langenkämper D, van Kevelaer R, Purser A, Nattkemper TW (2020)
Frontiers in Marine Science 7: 506.
PUB | PDF | DOI
 
2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2943127
Repositories for Taxonomic Data: Where We Are and What is Missing.
Miralles A, Bruy T, Wolcott K, Scherz MD, Begerow D, Beszteri B, Bonkowski M, Felden J, Gemeinholzer B, Glaw F, Glockner FO, et al. (2020)
Systematic biology.
PUB | DOI | PubMed | Europe PMC
 
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2942079
Data storage and data re-use in taxonomy-the need for improved storage and accessibility of heterogeneous data
Gemeinholzer B, Vences M, Beszteri B, Bruy T, Felden J, Kostadinov I, Mirailes A, Nattkemper TW, Printzen C, Renz J, Rybalka N, et al. (2020)
ORGANISMS DIVERSITY & EVOLUTION 20(1): 1-8.
PUB | DOI | WoS
 
2020 | Bielefelder E-Dissertation | PUB-ID: 2941174 OA
Data-driven models for taxonomic classification in marine science
Langenkämper D (2020)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936069 OA
On the impact of Citizen Science-derived data quality on deep learning based classification in marine images
Langenkämper D, Simon-Lledó E, Hosking B, Jones DOB, Nattkemper TW (2019)
PLOS ONE 14(6): e0218086.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2935488 OA
Computer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatory.
Osterloff J, Nilssen I, Jarnegren J, Van Engeland T, Buhl-Mortensen P, Nattkemper TW (2019)
Scientific reports 9(1): 6578.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2936089 OA
Detection and visualization of communities in mass spectrometry imaging data.
Wüllems K, Kölling J, Bednarz H, Niehaus K, Hans VH, Nattkemper TW (2019)
BMC Bioinformatics 20(1): 303.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2931637
SeeVis — 3D space-time cube rendering for visualization of microfluidics image data
Nattkemper TW, Hattab G (2019)
Bioinformatics 35(10): 1802-1804.
PUB | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935366
BIIGLE2Go - A scalable image annotation system for easy deployment on cruises
Zurowietz M, Langenkämper D, Nattkemper TW (2019)
In: Proceedings of IEEE OCEANS 2019.
PUB | DOI | Download (ext.)
 
2019 | Konferenzbeitrag | Im Druck | PUB-ID: 2937705
Wind turbine segmentation performing kNN-clustering on superpixel segmentations
Möller T, Langenkämper D, Nattkemper TW (In Press)
In: Image and Signal Processing for Remote Sensing XXV. Bruzzone L, Bovolo F (Eds); Image and Signal Processing for Remote Sensing XXV. Proceedings, 11155(25). .
PUB
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932066 OA
MAIA - A machine learning assisted image annotation method for environmental monitoring and exploration
Zurowietz M, Langenkämper D, Hosking B, Ruhl H, Nattkemper TW (2018)
PLoS ONE 13(11): e0207498.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918218 OA
A Novel methodology for characterizing cell subpopulations in automated time-lapse microscopy
Hattab G, Wiesmann V, Becker A, Munzner T, Nattkemper TW (2018)
Frontiers in Bioengineering and Biotechnology 6: 17.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921040
Tracking Sponge Size and Behaviour with Fixed Underwater Observatories
Möller T, Nillsen I, Nattkemper TW (2018)
In: Pattern Recognition and Information Forensics. ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers. Zhang Z, Suter D, Tian Y, Branzan Albu A, Sidère N, Jair Escalante H (Eds); Lecture Notes in Computer Science, 11188. Cham: Springer: 45-54.
PUB | DOI
 
2018 | Bielefelder E-Dissertation | PUB-ID: 2919935 OA PUB | PDF
 
2018 | Bielefelder E-Dissertation | PUB-ID: 2931281 OA
Computer Vision for Marine Environmental Monitoring
Osterloff J (2018)
Bielefeld: Universität Bielefeld.
PUB | PDF | DOI
 
2018 | Konferenzbeitrag | Angenommen | PUB-ID: 2921039 OA
Strategies for Tackling the Class Imbalance Problem in Marine Image Classification
Langenkämper D, van Kevelaer R, Nattkemper TW (Accepted)
Presented at the International Conference on Pattern Recognition 2018, Computer Vision for Automated Analysis of Underwater Imagery Workshop, Beijing.
PUB | PDF
 
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911830 OA
ViCAR: An Adaptive and Landmark-Free Registration of Time Lapse Image Data from Microfluidics Experiments
Hattab G, Schlüter J-P, Becker A, Nattkemper TW (2017)
Frontiers in Genetics 8: 69.
PUB | PDF | DOI | WoS | PubMed | Europe PMC
 
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909190 OA
BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections
Langenkämper D, Zurowietz M, Schoening T, Nattkemper TW (2017)
Frontiers in Marine Science 4(March): 83.
PUB | Dateien verfügbar | DOI | WoS
 

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