fmars.2025.1699781
has quoted text: 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.
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/sciencelive/np/RAm0R_xdfpZCX8jGhrMU8LQonht0X6qvfApCekmUCwvgQ
created: 2026-04-26T13:29:23.043Z
creator: Anne Fouilloux
license: https://creativecommons.org/licenses/by/4.0/
has nanopub type: cites
was created at: platform.sciencelive4all.org
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.
type: Nanopublication
has assertion: assertion
has provenance: provenance
has publication info: pubinfo

sig
has algorithm: RSA
signed by: Anne Fouilloux