Hauptmann, T., Fellenz, S., Nathan, L., Tüscher, O. und Kramer, S. (2023) „Discriminative machine learning for maximal representative subsampling“, Scientific reports, (Band 13 (2023), Artikel-ID: 20925), S. , Artikel-ID: 20925. doi:10.25358/openscience-9834.
Chicago Manual of Style 17th edition (full note)Hauptmann, Tony, Sophie Fellenz, Laksan Nathan, Oliver Tüscher, und Stefan Kramer. „Discriminative machine learning for maximal representative subsampling“. Electronic. Scientific reports, Nr. Band 13 (2023), Artikel-ID: 20925 ([2023?]): , Artikel-ID: 20925. https://doi.org/10.25358/openscience-9834.
American Psychological Association 7th editionHauptmann, T., Fellenz, S., Nathan, L., Tüscher, O., & Kramer, S. (ca. 2023). Discriminative machine learning for maximal representative subsampling [Electronic]. Scientific reports, Band 13 (2023), Artikel-ID: 20925, , Artikel-ID: 20925. https://doi.org/10.25358/openscience-9834
Modern Language Association 9th editionHauptmann, T., S. Fellenz, L. Nathan, O. Tüscher, und S. Kramer. „Discriminative machine learning for maximal representative subsampling“. Scientific reports, electronic, Nr. Band 13 (2023), Artikel-ID: 20925, Macmillan Publishers Limited, part of Springer Nature [London] : Springer Nature, 2011-, 2023, S. , Artikel-25, https://doi.org/10.25358/openscience-9834.
ISO-690 (author-date, Deutsch)HAUPTMANN, Tony, Sophie FELLENZ, Laksan NATHAN, Oliver TÜSCHER und Stefan KRAMER, 2023. Discriminative machine learning for maximal representative subsampling. Scientific reports. 2023. Nr. Band 13 (2023), Artikel-ID: 20925, S. , Artikel-ID: 20925. DOI 10.25358/openscience-9834