Deep learning for time series anomaly detection: A survey

Z Zamanzadeh Darban, GI Webb, S Pan… - ACM Computing …, 2024 - dl.acm.org
Time series anomaly detection is important for a wide range of research fields and
applications, including financial markets, economics, earth sciences, manufacturing, and …

Robust time series analysis and applications: An industrial perspective

Q Wen, L Yang, T Zhou, L Sun - Proceedings of the 28th ACM SIGKDD …, 2022 - dl.acm.org
Time series analysis is ubiquitous and important in various areas, such as Artificial
Intelligence for IT Operations (AIOps) in cloud computing, AI-powered Business Intelligence …

Energy forecasting with robust, flexible, and explainable machine learning algorithms

Z Zhu, W Chen, R ** Machine Learning and Data Mining Techniques for Fuel Loss Detection at Service Stations
S Kocak - 2023 - RMIT University