Gevaert, C. M., Aguiar Pedro, A., Ku, O., Cheng, H., Chandramouli, P., Dadrass Javan, F., Nattino, F., & Georgievska, S. (2025). Explainable few-shot learning workflow for detecting invasive and exotic tree species. Scientific Reports, 15(1), 1-12. https://doi.org/10.1038/s41598-025-05394-2
ISO-690 (author-date, English)GEVAERT, Caroline M., AGUIAR PEDRO, Alexandra, KU, Ou, CHENG, Hao, CHANDRAMOULI, Pranav, DADRASS JAVAN, Farzaneh, NATTINO, Francesco und GEORGIEVSKA, Sonja, 2025. Explainable few-shot learning workflow for detecting invasive and exotic tree species. Scientific Reports. 2 Juli 2025. Vol. 15, no. 1, p. 1-12. DOI 10.1038/s41598-025-05394-2.
Modern Language Association 9th editionGevaert, C. M., A. Aguiar Pedro, O. Ku, H. Cheng, P. Chandramouli, F. Dadrass Javan, F. Nattino, und S. Georgievska. „Explainable Few-Shot Learning Workflow for Detecting Invasive and Exotic Tree Species.“. Scientific Reports, Bd. 15, Nr. 1, Juli 2025, S. 1-12, https://doi.org/10.1038/s41598-025-05394-2.
Mohr Siebeck - Recht (Deutsch - Österreich)Gevaert, Caroline M./Aguiar Pedro, Alexandra/Ku, Ou/Cheng, Hao/Chandramouli, Pranav/Dadrass Javan, Farzaneh u. a.: Explainable few-shot learning workflow for detecting invasive and exotic tree species., Scientific Reports 2025, 1-12.
Emerald - HarvardGevaert, C.M., Aguiar Pedro, A., Ku, O., Cheng, H., Chandramouli, P., Dadrass Javan, F., Nattino, F. und Georgievska, S. (2025), „Explainable few-shot learning workflow for detecting invasive and exotic tree species.“, Scientific Reports, Vol. 15 No. 1, S. 1-12.