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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks2020 PLoS Computational Biology article Computer Science Neural Networks and Applications Open access
Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias
11citations -
Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
L. Schmid, David F. Locher, Manuel Rispler, Sebastian Blatt, Johannes Zeiher, Markus Michael Müller, +1 more
0citations -
A Novel Hybrid Methodology for Anomaly Detection in Time Series2022 International Journal of Computational Intelligence Systems article Computer Science Anomaly Detection Techniques and Applications Open access
Lejla Begic Fazlic, Ahmed Halawa, Anke Schmeink, Lukas Märtin, Arne Peine, Marlies Morgen, +2 more
6citations -
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