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Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients., , , , , , , , , and 17 other author(s). (2022)Long-term health sequelae and quality of life at least 6 months after infection with SARS-CoV-2: design and rationale of the COVIDOM-study as part of the NAPKON population-based cohort platform (POP), , , , , , , , , and 31 other author(s). Infection, 49 (6): 1277-1287 (2021)Studying long-term health and quality of life after infection with SARS-CoV-2: design and rationale of the population-based NAPKON POP study, , , , , , , , , and 31 other author(s). (2021)The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics, , , , , , , , , and 65 other author(s). Eur J Epidemiol, 37 (8): 849-870 (2022)Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients, , , , , , , , , and 16 other author(s). Sci Data, 9 (1): 776 (2022)A temporally adaptive classifier for multispectral imagery., , and . IEEE Trans. Neural Networks, 15 (1): 159-165 (2004)Temporal updating scheme for probabilistic neural network with application to satellite cloud classification - further results., , , and . IEEE Trans. Neural Networks, 12 (5): 1196-1203 (2001)A multichannel temporally adaptive system for continuous cloud classification from satellite imagery., , and . IEEE Trans. Geosci. Remote. Sens., 41 (5): 1098-1104 (2003)