Zhou, Y., Yang, P., Qu, Y., Xu, X., Sun, Z., & Cichocki, A. (2023). Anoonly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies. Expert Systems with Applications, 262, 125597. https://doi.org/10.1016/j.eswa.2024.125597
Chicago Style (17th ed.) CitationZhou, Yixuan, Peiyu Yang, Yi Qu, Xing Xu, Zhe Sun, and Andrzej Cichocki. "Anoonly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies." Expert Systems with Applications 262 (2023): 125597. https://doi.org/10.1016/j.eswa.2024.125597.
MLA (9th ed.) CitationZhou, Yixuan, et al. "Anoonly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies." Expert Systems with Applications, vol. 262, 2023, p. 125597, https://doi.org/10.1016/j.eswa.2024.125597.
Warning: These citations may not always be 100% accurate.