STEIN, Annika, SCHMIDT, Alexander und KRÄMER, Michael, 2024. Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies. Aachen: Universitätsbibliothek der RWTH Aachen.
Elsevier - Harvard (with titles)Stein, A., Schmidt, A., Krämer, M., 2024. Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies. Aachen. RWTH Aachen University, 2024. Universitätsbibliothek der RWTH Aachen, Aachen. https://doi.org/10.18154/RWTH-2024-07840
American Psychological Association 7th editionStein, A., Schmidt, A., & Krämer, M. (ca. 2024). Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies [Universitätsbibliothek der RWTH Aachen; Cd]. In Aachen. RWTH Aachen University, 2024. https://doi.org/10.18154/RWTH-2024-07840
Springer - Basic (author-date)Stein A, Schmidt A, Krämer M (2024) Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies. Universitätsbibliothek der RWTH Aachen
Juristische Zitierweise (Stüber) (Deutsch)Stein, Annika/ Schmidt, Alexander/ Krämer, Michael, Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies, Aachen 2024.