Browsing by Person Dürr, Oliver
Showing results 1 to 6 of 6
Issue Date | Title | Involved Person(s) |
21-Dec-2023 | Assessing deep learning : a work program for the humanities in the age of artificial intelligence | Segessenmann, Jan; Stadelmann, Thilo; Davison, Andrew; Dürr, Oliver |
2022 | Deep and interpretable regression models for ordinal outcomes | Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate |
9-Dec-2022 | Deep transformation models for functional outcome prediction after acute ischemic stroke | Herzog, Lisa; Kook, Lucas; Götschi, Andrea; Petermann, Katrin; Hänsel, Martin, et al |
Oct-2020 | Integrating uncertainty in deep neural networks for MRI based stroke analysis | Herzog, Lisa; Murina, Elvis; Dürr, Oliver; Wegener, Susanne; Sick, Beate |
2021 | Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows | Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver |
15-Jun-2023 | Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows | Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver |