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Manuel Röder
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2020 – today
- 2024
- [c4]Manuel Röder, Frank-Michael Schleif:
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data. IAL@PKDD/ECML 2024: 7-11 - [c3]Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif:
Crossing Domain Borders with Federated Few-Shot Adaptation. ICPRAM 2024: 511-521 - [i3]Manuel Röder, Frank-Michael Schleif:
Sparse Uncertainty-Informed Sampling from Federated Streaming Data. CoRR abs/2408.17108 (2024) - [i2]Manuel Röder, Frank-Michael Schleif:
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data. CoRR abs/2409.12575 (2024) - 2023
- [j2]Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif:
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing 555: 126635 (2023) - [c2]Maximilian Münch, Manuel Röder, Frank-Michael Schleif:
Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models. CIKM 2023: 1867-1876 - [i1]Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif:
Efficient Cross-Domain Federated Learning by MixStyle Approximation. CoRR abs/2312.07064 (2023) - 2022
- [j1]Christoph Raab, Manuel Röder, Frank-Michael Schleif:
Domain adversarial tangent subspace alignment for explainable domain adaptation. Neurocomputing 506: 418-429 (2022) - [c1]Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif:
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. ESANN 2022
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last updated on 2024-10-25 21:18 CEST by the dblp team
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