| Evolution-based online automated machine learning C Kulbach, J Montiel, M Bahri, M Heyden, A Bifet Pacific-Asia Conference on Knowledge Discovery and Data Mining, 472-484, 2022 | 7 | 2022 |
| Fogsy: Towards holistic industrial AI management in fog and edge environments P Wiener, P Zehnder, M Heyden, P Philipp, D Riemer KuVS-Fachgespräch Fog Computing 2020, 16, 2020 | 4 | 2020 |
| Scalable Online Change Detection for High-dimensional Data Streams F Kalinke, M Heyden, E Fouché, K Bohm CoRR, 2022 | 2 | 2022 |
| Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals M Heyden, V Arzamasov, E Fouché, K Böhm arXiv preprint arXiv:2306.07071, 2023 | 1 | 2023 |
| Adaptive Bernstein change detector for high-dimensional data streams M Heyden, E Fouché, V Arzamasov, T Fenn, F Kalinke, K Böhm Data Mining and Knowledge Discovery, 1-30, 2024 | | 2024 |
| Tandem Outlier Detectors for Decentralized Data M Heyden, J Wilwer, E Fouché, S Thoma, S Matthiesen, T Gwosch Proceedings of the 34th International Conference on Scientific and …, 2022 | | 2022 |
| Maximum Mean Discrepancy on Exponential Windows for Online Change Detection F Kalinke, M Heyden, E Fouché, K Böhm arXiv preprint arXiv:2205.12706, 2022 | | 2022 |
