| 2024 | ECAI | Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. | Maximilian Bernhard, Tanveer Hannan, Niklas Strau, Matthias Schubert |
| 2024 | ICDM | Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters. | Collin Leiber, Niklas Strau, Matthias Schubert, Thomas Seidl |
| 2024 | SDM | Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. | Niklas Strau, Matthias Schubert |
| 2023 | ECAI | Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. | David Winkel, Niklas Strau, Matthias Schubert, Thomas Seidl |
| 2023 | ICCV | MapFormer: Boosting Change Detection by Using Pre-change Information. | Maximilian Bernhard, Niklas Strau, Matthias Schubert |
| 2023 | PAKDD | Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. | David Winkel, Niklas Strau, Matthias Schubert, Yunpu Ma, Thomas Seidl |
| 2022 | ICDM | A Comparison of Ambulance Redeployment Systems on Real-World Data. | Niklas Strau, Max Berrendorf, Tom Haider, Matthias Schubert |
| 2021 | MDM | Efficient Parking Search using Shared Fleet Data. | Niklas Strau, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert |
| 2019 | ICDM | Spatial Interpolation with Message Passing Framework. | Evgeniy Faerman, Manuell Rogalla, Niklas Strau, Adrian Krger, Benedict Blmel, Max Berrendorf, Michael Fromm, Matthias Schubert |