| 2019 | ESANN | Beta Distribution Drift Detection for Adaptive Classifiers. | Lukas Fleckenstein, Sebastian Kauschke, Johannes Frnkranz |
| 2019 | GLOBECOM | Towards Automatic Classification of Common Therapy Errors for Diabetes Therapy Support. | Jens Heuschkel, Sebastian Kauschke, Max Mhlhuser |
| 2019 | IJCNN | Mending is Better than Ending: Adapting Immutable Classifiers to Nonstationary Environments using Ensembles of Patches. | Sebastian Kauschke, Lukas Fleckenstein, Johannes Frnkranz |
| 2019 | IJCNN | Patching Deep Neural Networks for Nonstationary Environments. | Sebastian Kauschke, David Hermann Lehmann, Johannes Frnkranz |
| 2019 | Mobiquitous | {P}Net: privacy-preserving personalization of AI-based models by anonymous inter-person similarity networks. | Christian Meurisch, Sebastian Kauschke, Tim Grube, Bekir Bayrak, Max Mhlhuser |
| 2018 | AAAI | Batchwise Patching of Classifiers. | Sebastian Kauschke, Johannes Frnkranz |
| 2018 | DIS | Leveraging Reproduction-Error Representations for Multi-Instance Classification. | Sebastian Kauschke, Max Mhlhuser, Johannes Frnkranz |
| 2018 | ICMLA | Towards Semi-Supervised Classification of Event Streams via Denoising Autoencoders. | Sebastian Kauschke, Max Mhlhuser, Johannes Frnkranz |
| 2016 | DIS | Predicting Cargo Train Failures: A Machine Learning Approach for a Lightweight Prototype. | Sebastian Kauschke, Johannes Frnkranz, Frederik Janssen |