Radev, S. T., Graw, F., Chen, S., Mutters, N. T., Eichel, V. M., Bärnighausen, T., & Köthe, U. (2021). OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany. Public Library of Science (PLoS).
Cita Chicago Style (17a ed.)Radev, Stefan T., Frederik Graw, Simiao Chen, Nico T. Mutters, Vanessa M. Eichel, Till Bärnighausen, y Ullrich Köthe. OutbreakFlow: Model-based Bayesian Inference of Disease Outbreak Dynamics with Invertible Neural Networks and Its Application to the COVID-19 Pandemics in Germany. Public Library of Science (PLoS), 2021.
Cita MLA (8a ed.)Radev, Stefan T., et al. OutbreakFlow: Model-based Bayesian Inference of Disease Outbreak Dynamics with Invertible Neural Networks and Its Application to the COVID-19 Pandemics in Germany. Public Library of Science (PLoS), 2021.