| MapFormer: Boosting Change Detection by Using Pre-change Information M Bernhard, N Strauß, M Schubert Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Risk-aware reinforcement learning for multi-period portfolio selection D Winkel, N Strauß, M Schubert, T Seidl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 4 | 2022 |
| Reinforcement learning for multi-agent stochastic resource collection N Strauss, D Winkel, M Berrendorf, M Schubert Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 3 | 2022 |
| Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning D Winkel, N Strauß, M Schubert, Y Ma, T Seidl Pacific-Asia Conference on Knowledge Discovery and Data Mining, 373-385, 2023 | 2 | 2023 |
| A Comparison of Ambulance Redeployment Systems on Real-World Data N Strauß, M Berrendorf, T Haider, M Schubert 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022 | 2 | 2022 |
| Efficient Parking Search using Shared Fleet Data N Strauß, L Rottkamp, S Schmoll, M Schubert 2021 22nd IEEE International Conference on Mobile Data Management (MDM), 115-120, 2021 | 2 | 2021 |
| Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images M Bernhard, T Hannan, N Strauß, M Schubert arXiv preprint arXiv:2404.18583, 2024 | 1 | 2024 |
| Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning D Winkel, N Strauß, M Schubert, T Seidl European Conference on Artificial Intelligence ECAI, 2023 | 1 | 2023 |
| Efficient on-street parking sensor placement L Rottkamp, M Schubert, N Strauß Proceedings of the 15th ACM SIGSPATIAL International Workshop on …, 2022 | 1 | 2022 |
| Spatial Interpolation with Message Passing Framework E Faerman, M Rogalla, N Strauß, A Krüger, B Blümel, M Berrendorf, ... 2019 International Conference on Data Mining Workshops (ICDMW), 135-141, 2019 | 1 | 2019 |
| Dying Clusters Is All You Need--Deep Clustering With an Unknown Number of Clusters C Leiber, N Strauß, M Schubert, T Seidl arXiv preprint arXiv:2410.09491, 2024 | | 2024 |
| Autoregressive Policy Optimization for Constrained Allocation Tasks D Winkel, N Strauß, M Bernhard, Z Li, T Seidl, M Schubert arXiv preprint arXiv:2409.18735, 2024 | | 2024 |
| Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem N Strauß, M Schubert Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| DEAR: Dynamic Electric Ambulance Redeployment L Rottkamp, N Strauß, M Schubert Proceedings of the 18th International Symposium on Spatial and Temporal Data …, 2023 | | 2023 |
| MapFormer: Boosting Change Detection by Using Pre-change Information Supplementary Material M Bernhard, N Strauß, M Schubert | | |
