Author

Kamil Faber

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Open access Sep 2026

SPIRAL: A Novel Time Series to Image (TS2I) Transformation Method for Vision-Based Anomaly Detection

Time series anomaly detection (TSAD) underpins critical applications in manufacturing, healthcare, finance, and cloud computing. Recently, time series to image (TS2I) transformations have emerged as a promising approach that enables leveraging pretrained vision models for time series analysis. However, the majority of...

Mateusz Smendowski, Kamil Faber, Piotr Nawrocki et al. · Machine-mediated learning · 0 citations

Preprint Aug 2026

PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection

PRISM is introduced, a plug-and-play meta-workflow enabling systematic construction and evaluation of image-based representations for multivariate TSAD and channelization is identified - how the channel dimension of multi-channel images is constructed - as a critical and previously understudied design dimension.

Mateusz Smendowski, Kamil Faber, Piotr Nawrocki et al. · 0 citations