| Stock price predictions with LSTM neural networks and twitter sentiment ML Thormann, J Farchmin, C Weisser, RM Kruse, B Säfken, A Silbersdorff Statistics, Optimization & Information Computing 9 (2), 268-287, 2021 | 43 | 2021 |
| Neural additive models for location scale and shape: A framework for interpretable neural regression beyond the mean AF Thielmann, RM Kruse, T Kneib, B Säfken International Conference on Artificial Intelligence and Statistics, 1783-1791, 2024 | 12 | 2024 |
| Model averaging for linear mixed models via augmented Lagrangian RM Kruse, A Silbersdorff, B Säfken Computational Statistics & Data Analysis 167, 107351, 2022 | 4 | 2022 |
| Package ‘cAIC4’ B Saefken, D Ruegamer, P Baumann, RM Kruse | 3 | 2019 |
| Learning Deep Textwork RM Kruse, B Säfken, A Silbersdorff, C Weisser Universitätsverlag Göttingen, 2021 | 1 | 2021 |
| Estimating and evaluating mixed and semiparametric models with statistical and deep learning methods RM Kruse | | 2023 |
