Author

N. Xu

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Review Open access Oct 2026

Addressing Methodological Challenges in Time Series Anomaly Detection

Time series anomaly detection focuses on detecting unexpected events in time series data. Traditional techniques for this task include SVMs, k-Nearest Neighbors and PCA, while more recent approaches frequently employ deep learning, e.g., using variational autoencoders and graph neural networks. In several studies, thes...

N. Xu, Henrik Boström · Machine-mediated learning · 0 citations