American Psychological Association 6th edition

Liu, B., Han, Z., Chen, X., Wang, Y., & Tang, Y. (2025). Rope-net: deep convolutional neural network via robust principal component analysis. Machine Learning, 114(7). https://doi.org/10.1007/s10994-025-06782-5

ISO-690 (author-date, English)

LIU, Baichen, HAN, Zhi, CHEN, Xi’ai, WANG, Yanmei und TANG, Yandong, 2025. Rope-net: deep convolutional neural network via robust principal component analysis. Machine Learning. 1 Juli 2025. Vol. 114, no. 7, . DOI 10.1007/s10994-025-06782-5.

Modern Language Association 9th edition

Liu, B., Z. Han, X. Chen, Y. Wang, und Y. Tang. „Rope-Net: Deep Convolutional Neural Network via Robust Principal Component Analysis“. Machine Learning, Bd. 114, Nr. 7, Juli 2025, https://doi.org/10.1007/s10994-025-06782-5.

Mohr Siebeck - Recht (Deutsch - Österreich)

Liu, Baichen/Han, Zhi/Chen, Xi’ai/Wang, Yanmei/Tang, Yandong: Rope-net: deep convolutional neural network via robust principal component analysis, Machine Learning 2025,

Emerald - Harvard

Liu, B., Han, Z., Chen, X., Wang, Y. und Tang, Y. (2025), „Rope-net: deep convolutional neural network via robust principal component analysis“, Machine Learning, Vol. 114 No. 7, verfügbar unter:https://doi.org/10.1007/s10994-025-06782-5.

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