An evaluation of nilm approaches on industrial energy-consumption data F Kalinke, P Bielski, S Singh, E Fouché, K Böhm Proceedings of the twelfth ACM international conference on future energy …, 2021 | 24 | 2021 |
Efficient subspace search in data streams E Fouché, F Kalinke, K Böhm Information Systems 97, 101705, 2021 | 8 | 2021 |
A framework for dependency estimation in heterogeneous data streams E Fouché, A Mazankiewicz, F Kalinke, K Böhm Distributed and Parallel Databases 39 (2), 415-444, 2021 | 6 | 2021 |
Assistance system for an automated log-quality and assortment estimation based on data-driven approaches using hydraulic signals of forestry machines C Geiger, N Maier, F Kalinke, M Geimer | 5 | 2020 |
Nystrom M-Hilbert-Schmidt Independence Criterion F Kalinke, Z Szabó Conference on Uncertainty in Artificial Intelligence (UAI), 1005-1015, 2023 | 3 | 2023 |
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection F Kalinke, M Heyden, E Fouché, K Böhm arXiv preprint arXiv:2205.12706, 2022 | 2* | 2022 |
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels F Kalinke, Z Szabo arXiv preprint arXiv:2403.07735, 2024 | | 2024 |
Uncertainty-Aware Partial-Label Learning T Fuchs, F Kalinke, K Böhm arXiv preprint arXiv:2402.00592, 2024 | | 2024 |
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 |
Multi-kernel Times Series Outlier Detection F Kalinke, E Fouché, H Thiessen, K Böhm International Conference on Discovery Science, 688-702, 2023 | | 2023 |
Nyström M-Hilbert-Schmidt Independence Criterion (Supplementary Material) F Kalinke, Z Szabó | | |