MAD-MEL: Combining Entity and Metric Learning for Anomaly Detection in Multivariate Time Series
Author:
Affiliation:
1. Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10418056/10353930.pdf?arnumber=10353930
Reference36 articles.
1. Deep Learning for Sensor-based Human Activity Recognition
2. Spectral temporal graph neural network for multivariate time-series forecasting;Cao
3. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
4. Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
5. A Stacked Predictor and Dynamic Thresholding Algorithm for Anomaly Detection in Spacecraft
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