Deep learning for anomaly detectionin multivariate time series data
A Time-Restricted Self-Attention Layer for ASR
Detecting anomalies in time series data via a deep learning algorithm combining wavelets, neural networks and Hilbert transform
A New Pattern Recognition Method for Detection and Localization of Myocardial Infarction Using T-Wave Integral and Total Integral as Extracted Features from One Cycle of ECG Signal
Anomaly Detection for Portfolio Risk Management An evaluation of econometric and machine learning based approaches to detecting anomalous behaviour in portfolio risk measures
Learning Region Features for Object Detection