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On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series
Despite the many attempts and approaches for anomaly detection explored over the years, the automatic detection of rare events in data communication networks remains a complex problem.
A new framework for optimal classifier design
The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems.
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