https://w3id.org/sciencelive/np/RAm0R_xdfpZCX8jGhrMU8LQonht0X6qvfApCekmUCwvgQ
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<https://doi.org/10.3389/fmars.2025.1699781> <http://purl.org/spar/cito/hasQuotedText>
"Using this dataset, we developed a high-performance CNN classifier (EfficientNetV2-B0) capable of predicting the five most probable taxa, achieving 86.3% top-1 accuracy and 98.8% top-5 accuracy.";
<http://www.w3.org/2000/01/rdf-schema#comment> "At 98.8% top-5 across 95 phytoplankton classes, the correct taxon is almost always among the five most confident predictions, turning a 95-way taxonomic decision into a five-way confirmation. For FlowCam-based monitoring where expert taxonomists currently bottleneck throughput, this enables a human-in-the-loop workflow where analysts confirm a shortlist rather than identifying from scratch. " .
<https://w3id.org/np/o/ntemplate/CREATOR> <http://purl.org/spar/cito/quotes> <https://doi.org/10.3389/fmars.2025.1699781> .
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<https://orcid.org/0000-0002-1784-2920> <http://xmlns.com/foaf/0.1/name> "Anne Fouilloux" .
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<http://www.w3.org/2000/01/rdf-schema#label> "Paper annotation: Using this dataset, we developed a high-performance CNN classifier (EfficientNetV2-B0) capable of predicting the five most probable taxa, achieving 86.3% top-1 accuracy and 98.8% top-5 accuracy.";
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