American Psychological Association 6th edition

Winter, A., Jourdan, N., Wirth, T., Knauthe, V., & Kuijper, A. (2023). An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams. Fraunhofer-Gesellschaft, 2023. https://doi.org/10.24406/publica-4287

ISO-690 (author-date, English)

WINTER, Anton, JOURDAN, Nicolas, WIRTH, Tristan, KNAUTHE, Volker und KUIJPER, Arjan, 2023. An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams. Fraunhofer-Gesellschaft, 2023.

Modern Language Association 9th edition

Winter, A., N. Jourdan, T. Wirth, V. Knauthe, und A. Kuijper. An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams. Fraunhofer-Gesellschaft, 2023., 2023, https://doi.org/10.24406/publica-4287.

Mohr Siebeck - Recht (Deutsch - Österreich)

Winter, Anton/Jourdan, Nicolas/Wirth, Tristan/Knauthe, Volker/Kuijper, Arjan: An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams, 2023.

Emerald - Harvard

Winter, A., Jourdan, N., Wirth, T., Knauthe, V. und Kuijper, A. (2023), An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams, Bd. , Fraunhofer-Gesellschaft, 2023., verfügbar unter:https://doi.org/10.24406/publica-4287.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.