JournalIEEE Access2021
Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines
Kukjin Choi, Jihun Yi, Changhwa Park, et al.
This paper reviews deep learning methods for anomaly detection in multivariate time-series data, analyzes state-of-the-art models on benchmarks, and provides guidelines for model selection and training.
555Jan 1, 2021Benchmarks