Adversarial Data Augmentation for HMM-Based Anomaly Detection
In this work, we concentrate on the detection of anomalous behaviors in systems operating in the physical world and for which it is usually not possible to have a complete set of all possible anomalies in advance. We present a data augmentation and retraining approach based on adversarial learning f...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 07. Dez., Seite 14131-14143
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| 1. Verfasser: |
Castellini, Alberto
(VerfasserIn) |
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| Weitere Verfasser: |
Masillo, Francesco,
Azzalini, Davide,
Amigoni, Francesco,
Farinelli, Alessandro |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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