Found: 11
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Environmental and ecological drivers of harmful algal blooms revealed by automated underwater microscopy.
- Published in:
- Limnology & Oceanography, 2023, v. 68, n. 3, p. 598, doi. 10.1002/lno.12297
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- Article
Machine learning techniques to characterize functional traits of plankton from image data.
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- Limnology & Oceanography, 2022, v. 67, n. 8, p. 1647, doi. 10.1002/lno.12101
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- Article
Environmental drivers of population variability in colony‐forming marine diatoms.
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- Limnology & Oceanography, 2020, v. 65, n. 10, p. 2515, doi. 10.1002/lno.11468
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- Article
Semi‐ and fully supervised quantification techniques to improve population estimates from machine classifiers.
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- Limnology & Oceanography, Methods, 2020, v. 18, n. 12, p. 739, doi. 10.1002/lom3.10399
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- Article
The Scripps Plankton Camera system: A framework and platform for in situ microscopy.
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- Limnology & Oceanography, Methods, 2020, v. 18, n. 11, p. 681, doi. 10.1002/lom3.10394
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- Article
Convening Expert Taxonomists to Build Image Libraries for Training Automated Classifiers.
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- Limnology & Oceanography Bulletin, 2023, v. 32, n. 3, p. 89, doi. 10.1002/lob.10584
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- Article
Transcriptome sequencing of seven deep marine invertebrates.
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- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03533-4
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- Article
Transcriptome sequencing of seven deep marine invertebrates.
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- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03533-4
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- Article
FathomNet: A global image database for enabling artificial intelligence in the ocean.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-19939-2
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- Article
Evaluating automated benthic fish detection under variable conditions.
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- ICES Journal of Marine Science / Journal du Conseil, 2022, v. 79, n. 8, p. 2204, doi. 10.1093/icesjms/fsac166
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- Article
DeepSTARia: enabling autonomous, targeted observations of ocean life in the deep sea.
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- Frontiers in Marine Science, 2024, p. 1, doi. 10.3389/fmars.2024.1357879
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- Article