| Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders F Moller, D Botache, D Huseljic, F Heidecker, M Bieshaar, B Sick Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 27 | 2021 |
| NDNET: a unified framework for anomaly and novelty detection J Decke, J Schmeißing, D Botache, M Bieshaar, B Sick, C Gruhl International Conference on Architecture of Computing Systems, 197-210, 2022 | 5 | 2022 |
| Towards highly automated machine-learning-empowered monitoring of motor test stands D Botache, F Bethke, M Hardieck, M Bieshaar, L Brabetz, M Ayeb, P Zipf, ... 2021 IEEE International Conference on Autonomic Computing and Self …, 2021 | 5 | 2021 |
| Generating synthetic time series for machine-learning-empowered monitoring of electric motor test benches T Westmeier, D Botache, M Bieshaar, B Sick 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022 | 4 | 2022 |
| Early pedestrian movement detection using smart devices based on human activity recognition D Botache, L Dandan, M Bieshaar, B Sick Gesellschaft für Informatik eV, 2019 | 4 | 2019 |
| Enhancing multi-objective optimization through machine learning-supported multiphysics simulation D Botache, J Decke, W Ripken, A Dornipati, F Götz-Hahn, M Ayeb, B Sick arXiv preprint arXiv:2309.13179, 2023 | 1 | 2023 |
| Organic Computing T Aust, H Cui, D Botache, J Decke, E Frost, V Gerling, M Heider, ... kassel university press, 2024 | | 2024 |
| Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis D Botache, K Dingel, R Huhnstock, A Ehresmann, B Sick arXiv preprint arXiv:2307.14294, 2023 | | 2023 |
| BMBF-Vorhaben: AIMEE-AI based monitoring and experimental evaluation: Kurzbericht: Laufzeit: 1.11. 2019 bis 31.3. 2022 D Botache, M Hardieck, F Bethke, B Sick, P Zipf, M Ayeb, L Brabetz Universität Kassel, 2022 | | 2022 |
| BMBF-Vorhaben: AIMEE D Botache, M Hardieck, F Bethke, B Sick, P Zipf, M Ayeb, L Brabetz | | |
