| Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty C Jansen, H Blocher, T Augustin, G Schollmeyer International Journal of Approximate Reasoning 144, 69-91, 2022 | 11 | 2022 |
| Depth functions for partial orders with a descriptive analysis of machine learning algorithms H Blocher, G Schollmeyer, C Jansen, M Nalenz International Symposium on Imprecise Probability: Theories and Applications …, 2023 | 8 | 2023 |
| Robust statistical comparison of random variables with locally varying scale of measurement C Jansen, G Schollmeyer, H Blocher, J Rodemann, T Augustin Uncertainty in Artificial Intelligence, 941-952, 2023 | 7 | 2023 |
| Statistical models for partial orders based on data depth and formal concept analysis H Blocher, G Schollmeyer, C Jansen International Conference on Information Processing and Management of …, 2022 | 6 | 2022 |
| Partial Rankings of Optimizers J Rodemann, H Blocher arXiv preprint arXiv:2402.16565, 2024 | 1 | 2024 |
| Data depth functions for non-standard data by use of formal concept analysis H Blocher, G Schollmeyer arXiv preprint arXiv:2402.16560, 2024 | 1 | 2024 |
| A note on the connectedness property of union-free generic sets of partial orders G Schollmeyer, H Blocher arXiv preprint arXiv:2304.10549, 2023 | 1 | 2023 |
| Comparing machine learning algorithms by union-free generic depth H Blocher, G Schollmeyer, M Nalenz, C Jansen International Journal of Approximate Reasoning 169, 109166, 2024 | | 2024 |
| On the Analysis of Epiontic Data: A Case Study G Schollmeyer, H Blocher, C Jansen, T Augustin | | |
| Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement (Supplementary Material) C Jansen, G Schollmeyer, H Blocher, J Rodemann, T Augustin | | |
