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Sensors (Basel, Switzerland)
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July 27, 2022
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects
Mingkun Tan, Daniel Langenkämper, Tim W Nattkemper
BMC Bioinformatics
|
December 16, 2014
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization
Daniel Langenkämper, Alexander Goesmann, Tim Wilhelm Nattkemper
Iscience
|
April 17, 2025
Scaling down annotation needs: The capacity of self-supervised learning on diatom classification
Mingkun Tan, Daniel Langenkämper, Michael Kloster, et al.
Bioinformatics (Oxford, England)
|
March 7, 2012
WHIDE--a web tool for visual data mining colocation patterns in multivariate bioimages
Jan Kölling, Daniel Langenkämper, Sylvie Abouna, et al.
Scientific Reports
|
September 4, 2020
Deep learning-based diatom taxonomy on virtual slides
Michael Kloster, Daniel Langenkämper, Martin Zurowietz, et al.
Plos One
|
November 17, 2018
MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration
Martin Zurowietz, Daniel Langenkämper, Brett Hosking, et al.
Plos One
|
February 24, 2023
Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint
Michael Kloster, Andrea M Burfeid-Castellanos, Daniel Langenkämper, et al.
Frontiers in Genetics
|
February 24, 2016
Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations
Daniel Langenkämper, Tobias Jakobi, Dustin Feld, et al.
Plos One
|
July 19, 2023
A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns
Robin van Kevelaer, Daniel Langenkämper, Ingunn Nilssen, et al.
Plos One
|
June 13, 2019
On the impact of Citizen Science-derived data quality on deep learning based classification in marine images
Daniel Langenkämper, Erik Simon-Lledó, Brett Hosking, et al.
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of 2
Search research articles
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Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Sensors (Basel, Switzerland)
|
July 27, 2022
The Impact of Data Augmentations on Deep Learning-Based Marine Object Classification in Benthic Image Transects
Mingkun Tan, Daniel Langenkämper, Tim W Nattkemper
BMC Bioinformatics
|
December 16, 2014
AKE - the Accelerated k-mer Exploration web-tool for rapid taxonomic classification and visualization
Daniel Langenkämper, Alexander Goesmann, Tim Wilhelm Nattkemper
Iscience
|
April 17, 2025
Scaling down annotation needs: The capacity of self-supervised learning on diatom classification
Mingkun Tan, Daniel Langenkämper, Michael Kloster, et al.
Bioinformatics (Oxford, England)
|
March 7, 2012
WHIDE--a web tool for visual data mining colocation patterns in multivariate bioimages
Jan Kölling, Daniel Langenkämper, Sylvie Abouna, et al.
Scientific Reports
|
September 4, 2020
Deep learning-based diatom taxonomy on virtual slides
Michael Kloster, Daniel Langenkämper, Martin Zurowietz, et al.
Plos One
|
November 17, 2018
MAIA-A machine learning assisted image annotation method for environmental monitoring and exploration
Martin Zurowietz, Daniel Langenkämper, Brett Hosking, et al.
Plos One
|
February 24, 2023
Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint
Michael Kloster, Andrea M Burfeid-Castellanos, Daniel Langenkämper, et al.
Frontiers in Genetics
|
February 24, 2016
Comparison of Acceleration Techniques for Selected Low-Level Bioinformatics Operations
Daniel Langenkämper, Tobias Jakobi, Dustin Feld, et al.
Plos One
|
July 19, 2023
A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns
Robin van Kevelaer, Daniel Langenkämper, Ingunn Nilssen, et al.
Plos One
|
June 13, 2019
On the impact of Citizen Science-derived data quality on deep learning based classification in marine images
Daniel Langenkämper, Erik Simon-Lledó, Brett Hosking, et al.
Page
of 2