# Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series

> Research article (Applied Sciences, 2023) · cited 48× · AI/ML

**Wikidata**: [openalex:W4318486034](https://www.wikidata.org/wiki/openalex:W4318486034)  
**Source**: https://4ort.xyz/entity/is-it-worth-it-comparing-six-deep-and-classical-methods-for-unsupervised-anomaly-detection-in-time-series