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History
- December 23, 2021.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Tomochika Fujisawa1,#,*,
- Víctor Noguerales2,3,#,*,
- Emmanouil Meramveliotakis2,
- Anna Papadopoulou2 and
- Alfried P. Vogler4,5
- 1The Center for Data Science Education and Research, Shiga University, 1-1-1 Banba, Hikone, Shiga 522-8522, Japan
- 2Department of Biological Sciences, University of Cyprus, PO Box 20537, Nicosia 1678, Cyprus
- 3Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), Astrofísico Francisco Sánchez 3, 38206, San Cristóbal de La Laguna, Tenerife, Canary Islands, Spain
- 4Department of Life Sciences, Natural History Museum, Cromwell Rd, London, SW7 5BD, UK
- 5Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot, SL5 7PY, UK
- ↵*Corresponding authors: Tomochika Fujisawa, t.fujisawa05{at}gmail.com, Víctor Noguerales, victor.noguerales{at}csic.es
↵# These authors equally contributed to this work
Posted December 23, 2021.
Image-based taxonomic classification of bulk biodiversity samples using deep learning and domain adaptation
