January 01, 2021 review Open access Machine Learning for Anomaly Detection: A Systematic Review IEEE Access DOI: 10.1109/access.2021.3083060 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 744 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 Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection 2023 Computers in Industry article Computer Science Anomaly Detection Techniques and Applications Open access 44 citations 1 result References 0