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2020 – today
- 2024
[j3]Marco Heyden
, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein change detector for high-dimensional data streams. Data Min. Knowl. Discov. 38(3): 1334-1363 (2024)- [i7]Tobias Fuchs, Florian Kalinke, Klemens Böhm:
Uncertainty-Aware Partial-Label Learning. CoRR abs/2402.00592 (2024) - [i6]Florian Kalinke, Zoltán Szabó:
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels. CoRR abs/2403.07735 (2024) - [i5]Florian Kalinke, Zoltán Szabó, Bharath K. Sriperumbudur:
Nyström Kernel Stein Discrepancy. CoRR abs/2406.08401 (2024) - 2023
- [c3]Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm:
Multi-kernel Times Series Outlier Detection. DS 2023: 688-702 - [c2]Florian Kalinke, Zoltán Szabó:
Nyström M-Hilbert-Schmidt independence criterion. UAI 2023: 1005-1015 - [i4]Florian Kalinke, Zoltán Szabó:
Nyström M-Hilbert-Schmidt Independence Criterion. CoRR abs/2302.09930 (2023) - [i3]Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein Change Detector for High-Dimensional Data Streams. CoRR abs/2306.12974 (2023) - 2022
- [i2]Florian Kalinke, Marco Heyden, Edouard Fouché, Klemens Böhm:
Scalable Online Change Detection for High-dimensional Data Streams. CoRR abs/2205.12706 (2022) - 2021
- [j2]Edouard Fouché, Alan Mazankiewicz, Florian Kalinke, Klemens Böhm:
A framework for dependency estimation in heterogeneous data streams. Distributed Parallel Databases 39(2): 415-444 (2021) - [j1]Edouard Fouché, Florian Kalinke, Klemens Böhm:
Efficient subspace search in data streams. Inf. Syst. 97: 101705 (2021) - [c1]Florian Kalinke, Pawel Bielski, Snigdha Singh, Edouard Fouché, Klemens Böhm:
An Evaluation of NILM Approaches on Industrial Energy-Consumption Data. e-Energy 2021: 239-243 - 2020
- [i1]Edouard Fouché, Florian Kalinke, Klemens Böhm:
Efficient Subspace Search in Data Streams. CoRR abs/2011.06959 (2020)
Coauthor Index
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