Improving the fairness and robustness of deep learning classification models through bias mitigation and post hoc calibration
Authors
Majid Ramedani, Jaya C Terli, Ole H Martensen, Tobias Strauß, Katharina Buerger, Peter Dechent, Emrah Düzel, Klaus Fliessbach, Maria Gemenetzi, Wenzel Glanz, Julian Hellmann-Regen, Stefan Hetzer, Enise I Incesoy, Daniel Janowitz, Marie T Kronmüller, Christoph Laske, Falk Lüsebrink, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris-Stephan Rauchmann, Ayda Rostamzadeh, Anja Schneider, Björn H Schott, Sebastian Sodenkamp, Annika Spottke, Eike J Spruth, Sophia Stöcklein, Jens Wiltfang, Frank Jessen, Stefan J Teipel, Martin Dyrba