ZHOU, Z., GU, Z., LIU, P., YU, W. und LIU, Z., 2025. Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst. 1 November 2025. Vol. 36, no. 11, p. 19560-19573. DOI 10.1109/TNNLS.2025.3578642.
Elsevier - Harvard (with titles)Zhou, Z., Gu, Z., Liu, P., Yu, W., Liu, Z., 2025. Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst. 36, 19560-19573. https://doi.org/10.1109/TNNLS.2025.3578642
American Psychological Association 7th editionZhou, Z., Gu, Z., Liu, P., Yu, W., & Liu, Z. (2025). Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions On, IEEE Trans. Neural Netw. Learning Syst., 36(11), 19560-19573. https://doi.org/10.1109/TNNLS.2025.3578642
Springer - Basic (author-date)Zhou Z, Gu Z, Liu P, Yu W, Liu Z (2025) Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst. 36:19560-19573. https://doi.org/10.1109/TNNLS.2025.3578642
Juristische Zitierweise (Stüber) (Deutsch)Zhou, Z./ Gu, Z./ Liu, P./ Yu, W./ Liu, Z., Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection, IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Learning Systems, IEEE Transactions on, IEEE Trans. Neural Netw. Learning Syst. 2025, 19560-19573.