LÖTSCH, Jörn und ULTSCH, Alfred, 2023. Recursive computed ABC (c ABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size. London: Macmillan Publishers Limited.
Elsevier - Harvard (with titles)Lötsch, J., Ultsch, A., 2023. Recursive computed ABC (c ABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size, Scientific Reports. Macmillan Publishers Limited, London. https://doi.org/10.1038/s41598-023-32396-9
American Psychological Association 7th editionLötsch, J., & Ultsch, A. (ca. 2023). Recursive computed ABC (c ABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size [Cd]. In Scientific Reports. Macmillan Publishers Limited. https://doi.org/10.1038/s41598-023-32396-9
Springer - Basic (author-date)Lötsch J, Ultsch A (2023) Recursive computed ABC (c ABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size. Macmillan Publishers Limited, London
Juristische Zitierweise (Stüber) (Deutsch)Lötsch, Jörn/ Ultsch, Alfred, Recursive computed ABC (c ABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size, London 2023.