April 13, 2020 article Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder IEEE Transactions on Neural Networks and Learning Systems DOI: 10.1109/tnnls.2020.2980749 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 216 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 Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions 2024 Engineering Applications of Artificial Intelligence article Computer Science Anomaly Detection Techniques and Applications Open access 41 citations Online Time-series Anomaly Detection: A Survey of Modern Model-based Approaches 2022 Research Square preprint Computer Science Anomaly Detection Techniques and Applications Open access 5 citations 4 results References 0