January 01, 2026 conference-paper Time Series Augmentations with Unsupervised Viewmakers for Robust Disruption Prediction in Nuclear Fusion IFIP advances in information and communication technology DOI: 10.1007/978-3-032-21184-2_6 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 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 Data augmentation for disruption prediction via robust surrogate models 2022 Journal of Plasma Physics article Physics and Astronomy Magnetic confinement fusion research Open access 8 citations 1 result