| Назив: | “UDE DIATOMS in the Wild 2024”: a new image dataset of freshwater diatoms for training deep learning models |
Аутори: | Venkataramanan, Aishwarya; Kloster, Michael; Burfeid Castellanos, Andrea; Dani, Mimoza; Mayombo, Serge; Vidaković, Danijela   ; Langenkämper, Daniel; Tan, Mingkun; Cedric, Pradalier; Nattkemper, Tim;
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Година: | 2024 |
Публикација: | GigaScience |
ISSN: | 2047-217X GigaScience Претражи идентификатор |
Издавач: | Oxford Academic |
Тип резултата: | Научни чланак |
Колација: | vol. 13 str. giae087 |
DOI: | 10.1093/gigascience/giae087 |
WoS-ID: | 001366334100001 |
Scopus-ID: | 2-s2.0-85210936570 |
PMID: | 39607983 |
PMCID: | PMC11604061 |
URI: | https://enauka.gov.rs/handle/123456789/950694
https://cer.ihtm.bg.ac.rs/handle/123456789/8084 |
Пројекат: | Deutsc he Forsc hungsgemein- sc haft (DFG, German Researc h Foundation; pr oject number: 463,395,318)
Collabor ativ e Researc h Centr e 1439 RESIST (Multile v el Re- sponse to Stressor Increase and Decrease in Stream Ecosystems; www.sfb-resist.de), funded by the DFG (CRC 1439/1, project num- ber: 426,547,801)
EU thr ough the PRIMA pr oject (INWAT 201980E121), whic h was spon- sored by the German Federal Ministry of Education and Research
Humboldt Foundation
ANR, France (ANR-20- THIA-0010)
Région Grand-Est, France
CNRS, France (ZAM LTSER Moselle)
Horizon Europe (iMagine—Grant agreement ID: 101,058,625)
University of Duisburg–Essen Open Access Publication Fund |
М-категорија: | 21aM21a - Водећи међународни часопис категорије M21a |
