Issue Date | Title | Involved Person(s) |
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 |
2022 | Deep and interpretable regression models for ordinal outcomes | Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate |
2021 | Deep transformation models : tackling complex regression problems with neural network based transformation models | Sick, Beate; Hathorn, Torsten; Durr, Oliver |
2021 | Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows | Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver |
Oct-2020 | Integrating uncertainty in deep neural networks for MRI based stroke analysis | Herzog, Lisa; Murina, Elvis; Dürr, Oliver; Wegener, Susanne; Sick, Beate |
2016 | Single-cell phenotype classification using deep convolutional neural networks | Dürr, Oliver; Sick, Beate |