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Florian Heinrichs

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2024
[i5]
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  - journals/corr/abs-2401-15623
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Florian Heinrichs:
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis. CoRR abs/2401.15623 (2024)
[i4]
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  - journals/corr/abs-2405-09564
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Matteo Varotto, Florian Heinrichs, Timo Schuerg, Stefano Tomasin, Stefan Valentin:
Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines. CoRR abs/2405.09564 (2024)
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  - journals/corr/abs-2409-09742
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Sebastian Wette, Florian Heinrichs:
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data. CoRR abs/2409.09742 (2024)
2023
[c1]
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Florian Heinrichs, Mavin Heim, Corinna Weber:
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification. ICML 2023: 12866-12881
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  - journals/corr/abs-2301-05869
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Florian Heinrichs, Mavin Heim, Corinna Weber:
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification. CoRR abs/2301.05869 (2023)
[i1]
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  - journals/corr/abs-2309-15187
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Florian Heinrichs:
Monitoring Machine Learning Models: Online Detection of Relevant Deviations. CoRR abs/2309.15187 (2023)

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