Papers matching “variational autoencoder” in Anomaly Detection Techniques and Applications 4
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MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing2023 International Joint Conference on Computational Intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
9citations -
TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-State Multivariate Time-Series Data2025 Studies in computational intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2citations -
PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series2025 Big Data Research article Computer Science Anomaly Detection Techniques and Applications Open access
Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
1citations
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