William Smits
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126
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ML×1AI×1
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2026
CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection
This paper presents a fully unsupervised framework called CRAFTIIF for detecting four types of anomalies in multivariate time series data.
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