American Psychological Association 6th edition

GAO, Z., LIU, H., & LI, L. (2025). Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey. Journal of Artificial Intelligence Research, 83, 1-46. https://doi.org/10.1613/jair.1.17084

ISO-690 (author-date, English)

GAO, ZIJUN, LIU, HAIBAO und LI, LINGBO, 2025. Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey. Journal of Artificial Intelligence Research. 1 Mai 2025. Vol. 83, , p. 1-46. DOI 10.1613/jair.1.17084.

Modern Language Association 9th edition

GAO, Z., H. LIU, und L. LI. „Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey.“. Journal of Artificial Intelligence Research, Bd. 83, Mai 2025, S. 1-46, https://doi.org/10.1613/jair.1.17084.

Mohr Siebeck - Recht (Deutsch - Österreich)

GAO, ZIJUN/LIU, HAIBAO/LI, LINGBO: Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey., Journal of Artificial Intelligence Research 2025, 1-46.

Emerald - Harvard

GAO, Z., LIU, H. und LI, L. (2025), „Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey.“, Journal of Artificial Intelligence Research, Vol. 83, S. 1-46.

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