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Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates.

, , , , , , and . CVAUI@ICPR, page 43-48. IEEE Computer Society, (2016)

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Human experts vs. machines in taxa recognition., , , , , , and . CoRR, (2017)Human experts vs. machines in taxa recognition., , , , , , , and . Signal Process. Image Commun., (2020)The effect of automated taxa identification errors on biological indices., , , , , , and . Expert Syst. Appl., (2017)Classification and retrieval on macroinvertebrate image databases., , , , , , , , , and . Comput. Biol. Medicine, 41 (7): 463-472 (2011)Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates., , , , , , , , , and . Ecol. Informatics, (2014)Automatic image-based identification and biomass estimation of invertebrates., , , , , , , , , and 1 other author(s). CoRR, (2020)Benchmark database for fine-grained image classification of benthic macroinvertebrates., , , , , , , , , and . Image Vis. Comput., (2018)On Confidences and Their Use in (Semi-)Automatic Multi-Image Taxa Identification., and . SSCI, page 1338-1343. IEEE, (2019)Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines., , , and . ICANNGA, volume 5495 of Lecture Notes in Computer Science, page 489-497. Springer, (2009)Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates., , , , , , and . ICPR, page 2276-2281. IEEE, (2016)