Nachhaltige Strategien gegen die COVID-19-Pandemie in Deutschland im Winter 2021/2022

no code implementations • 10 Nov 2021 • Viola Priesemann, Eberhard Bodenschatz, Sandra Ciesek, Eva Grill, Emil N. Iftekhar, Christian Karagiannidis, André Karch, Mirjam Kretzschmar, Berit Lange, Sebastian A. Müller, Kai Nagel, Armin Nassehi, Mathias W. Pletz, Barbara Prainsack, Ulrike Protzer, Leif Erik Sander, Andreas Schuppert, Anita Schöbel, Klaus Überla, Carsten Watzl, Hajo Zeeb

In this position paper, a large group of interdisciplinary experts outlines response strategies against the spread of SARS-CoV-2 in the winter of 2021/2022 in Germany.

Position

Estimating the Robustness of Public Transport Systems Using Machine Learning

no code implementations • 10 Jun 2021 • Matthias Müller-Hannemann, Ralf Rückert, Alexander Schiewe, Anita Schöbel

The network is then able to predict the robustness of untrained instances with high accuracy using only its key features, allowing for a robustness oracle for transport planners that approximates the robustness in constant time.

BIG-bench Machine Learning