Cite
Image-based taxonomic classification of bulk insect biodiversity samples using deep learning and domain adaptation
MLA
European Commission, et al. Image-Based Taxonomic Classification of Bulk Insect Biodiversity Samples Using Deep Learning and Domain Adaptation. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1373159249&authtype=sso&custid=ns315887.
APA
European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Japan Society for the Promotion of Science, Fujisawa, T., Noguerales, V., Meramveliotakis, E., Papadopoulou, A., & Vogler, A. P. (2023). Image-based taxonomic classification of bulk insect biodiversity samples using deep learning and domain adaptation.
Chicago
European Commission, Ministerio de Ciencia e Innovación (España), Agencia Estatal de Investigación (España), Japan Society for the Promotion of Science, Tomochika Fujisawa, Víctor Noguerales, Emmanouil Meramveliotakis, Anna Papadopoulou, and Alfried P. Vogler. 2023. “Image-Based Taxonomic Classification of Bulk Insect Biodiversity Samples Using Deep Learning and Domain Adaptation.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1373159249&authtype=sso&custid=ns315887.