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Florian Kalinke
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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
242021
Efficient subspace search in data streams
E Fouché, F Kalinke, K Böhm
Information Systems 97, 101705, 2021
82021
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
62021
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
52020
Nystrom M-Hilbert-Schmidt Independence Criterion
F Kalinke, Z Szabó
Conference on Uncertainty in Artificial Intelligence (UAI), 1005-1015, 2023
32023
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
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Articles 1–11