This provides the UCR Time Series Anomaly Detection datasets [1] publicly available on this webpage. This dataset repository is created to ensure the version of the dataset used in the TimeVQVAE-AD pa
A dataset for process anomaly detection in scientific experiments. The dataset is collected from a fully automated PDMS synthesis workflow involving collaborative robots. Images were captured from fir
This article proposes a development of detecting patches of additive outliers in autoregressive time series models. The procedure improves the existing detection methods via Gibbs sampling. We combine
