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Autor:
K��ber, G��ran, Kalisch, Raffael, Puhlmann, Lara, Chmitorz, Andrea, Schick, Anita, Binder, Harald
Publikováno v:
arXiv
When modeling longitudinal biomedical data, often dimensionality reduction as well as dynamic modeling in the resulting latent representation is needed. This can be achieved by artificial neural networks for dimension reduction, and differential equa