Abrahams, E., Mc Kenzie, M., Pérez, F., & Venturelli, R. (2025). Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach. Boreas, 54(4), 488-505. https://doi.org/10.1111/bor.12682
ISO-690 (author-date, English)ABRAHAMS, Ellianna, MCKENZIE, Marion, PÉREZ, Fernando und VENTURELLI, Ryan, 2025. Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach. Boreas. 1 Oktober 2025. Vol. 54, no. 4, p. 488-505. DOI 10.1111/bor.12682.
Modern Language Association 9th editionAbrahams, E., M. Mc Kenzie, F. Pérez, und R. Venturelli. „Automatic Identification of Streamlined Subglacial Bedforms Using Machine Learning: An open‐source Python Approach.“. Boreas, Bd. 54, Nr. 4, Oktober 2025, S. 488-05, https://doi.org/10.1111/bor.12682.
Mohr Siebeck - Recht (Deutsch - Österreich)Abrahams, Ellianna/Mc Kenzie, Marion/Pérez, Fernando/Venturelli, Ryan: Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach., Boreas 2025, 488-505.
Emerald - HarvardAbrahams, E., Mc Kenzie, M., Pérez, F. und Venturelli, R. (2025), „Automatic identification of streamlined subglacial bedforms using machine learning: an open‐source Python approach.“, Boreas, Vol. 54 No. 4, S. 488-505.