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Daniel Langenkämper
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2020 – today
- 2022
- [j4]Mingkun Tan
, Daniel Langenkämper
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects. Sensors 22(14): 5383 (2022) - 2020
- [b1]Daniel Langenkämper:
Data-driven models for taxonomic classification in marine science. Bielefeld University, Germany, 2020
2010 – 2019
- 2018
- [c3]Daniel Langenkämper, Robin van Kevelaer, Tim W. Nattkemper:
Strategies for Tackling the Class Imbalance Problem in Marine Image Classification. CVAUI/IWCF/MIPPSNA@ICPR 2018: 26-36 - 2016
- [j3]Shan-E-Ahmed Raza
Robust normalization protocols for multiplexed fluorescence bioimage analysis. BioData Min. 9: 11 (2016) - [c2]Daniel Langenkämper, Tim W. Nattkemper:
COATL - a learning architecture for online real-time detection and classification assistance for environmental data. ICPR 2016: 597-602 - 2014
- [j2]Daniel Langenkämper
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization. BMC Bioinform. 15: 384 (2014) - 2012
- [j1]Jan Kölling
WHIDE - a web tool for visual data mining colocation patterns in multivariate bioimages. Bioinform. 28(8): 1143-1150 (2012) - 2011
- [c1]Christian Loyek, Jan Kölling, Daniel Langenkämper
A Web2.0 Strategy for the Collaborative Analysis of Complex Bioimages. IDA 2011: 258-269
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