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Found 3 papers, 1 papers with code
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing
A clear need for automatic anomaly detection applied to automotive testing has emerged as more and more attention is paid to the data recorded and manual evaluation by humans reaches its capacity.
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
To this end, in this survey, we provide a comprehensive overview of representative brain-inspired synaptic plasticity models and mixed-signal CMOS neuromorphic circuits within a unified framework.
Moving sum data segmentation for stochastics processes based on invariance
The segmentation of data into stationary stretches also known as multiple change point problem is important for many applications in time series analysis as well as signal processing.
Time Series Analysis
Methodology
62M99, 62G20, 62H12
