January 01, 2021 article Open access Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress IEEE Transactions on Knowledge and Data Engineering DOI: 10.1109/tkde.2021.3112126 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 149 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 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 TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-State Multivariate Time-Series Data 2025 Studies in computational intelligence conference-paper Computer Science Anomaly Detection Techniques and Applications Open access 2 citations 2 results References 0