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2025	Artificial intelligence advances in anomaly detection for telecom networks Artificial Intelligence Review Enerst Edozie, Aliyu Nuhu Shuaibu, Bashir Olaniyi Sadiq, Ukagwu Kelechi John
2025	NOMS 2025-2025 IEEE Network Operations and Management Symposium Mehdi Boudjelli, Sihem Cherrared, Pedro B. Velloso, Xiaofeng Huang, Fabrice Guillemin, Stefano Secci
2025	Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang
2025	Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu
2024	Prediction of Industrial Cyber Attacks Using Normalizing Flows Doklady Mathematics V. P. Stepashkina, M. I. Hushchyn
2024	Subsystem-Based Fault Detection in Robotics via L2 Norm and Random Forest Models IEEE Access Elham Abdullah Alamoudi
2024	A new satellite-ship autonomous communication system with an integrated deep learning anomaly detection algorithm Multimedia Tools and Applications Di Wu, Sheng Liu, Wei Wei, Yu Sui
2024	An automated machine learning approach for detecting anomalous peak patterns in time series data from a research watershed in the northeastern United States critical zone Machine Learning with Applications Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo, Julia N. Perdrial
2023	Integration of Fuzzy Ontologies and Neural Networks in the Detection of Time Series Anomalies Mathematics Vadim Moshkin, Dmitry Kurilo, Nadezhda Yarushkina
2023	2023 IEEE/CVF International Conference on Computer Vision (ICCV) Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim
2022	Lecture Notes in Computer Science Yuansheng Zhu, Wentao Bao, Qi Yu