Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning

Miguel Campos-Romero; Manuel Carranza-García; José C. Riquelme

doi:10.1016/j.engappai.2024.109088

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Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning

Miguel Campos-Romero Manuel Carranza-García José C. Riquelme

Year: 2024 Journal: Engineering Applications of Artificial Intelligence Vol: 137 Pages: 109088-109088 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2024.109088

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Keywords:

Computer science Anomaly detection Scale (ratio) Ensemble learning Artificial intelligence Machine learning Unsupervised learning Anomaly (physics) Pattern recognition (psychology)

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning

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Citation History

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