January 30, 2023 article Open access Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series Applied Sciences DOI: 10.3390/app13031778 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 56 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Prediction-based strategies for robust near real-time GPS signal anomaly detection on a global scale 2026 Advances in Space Research article Engineering GNSS positioning and interference Open access 0 citations PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series 2025 Big Data Research article Computer Science Anomaly Detection Techniques and Applications Open access 1 citations 2 results References 0