LÖSSE, Leonhard Joseph, WEISSENBERGER, Barbara E. und FÖRSTER, Guido, 2025. Interpretable Machine Learning in Financial Statement Fraud Detection: An Analysis of the Need for Explanations, their Potential, and their Limitations. Düsseldorf: Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf.
Elsevier - Harvard (with titles)Lösse, L.J., Weißenberger, B.E., Förster, G., 2025. Interpretable Machine Learning in Financial Statement Fraud Detection: An Analysis of the Need for Explanations, their Potential, and their Limitations. Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, Düsseldorf. https://doi.org/urn:nbn:de:hbz:061-20250818-110155-5
American Psychological Association 7th editionLösse, L. J., Weißenberger, B. E., & Förster, G. (ca. 2025). Interpretable Machine Learning in Financial Statement Fraud Detection: An Analysis of the Need for Explanations, their Potential, and their Limitations [Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf; Cd]. https://doi.org/urn:nbn:de:hbz:061-20250818-110155-5
Springer - Basic (author-date)Lösse LJ, Weißenberger BE, Förster G (2025) Interpretable Machine Learning in Financial Statement Fraud Detection: An Analysis of the Need for Explanations, their Potential, and their Limitations. Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
Juristische Zitierweise (Stüber) (Deutsch)Lösse, Leonhard Joseph/ Weißenberger, Barbara E./ Förster, Guido, Interpretable Machine Learning in Financial Statement Fraud Detection: An Analysis of the Need for Explanations, their Potential, and their Limitations, Düsseldorf 2025.