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ORCIDChristoph Raab
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2020 – today
- 2024
[c15]Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif:
Crossing Domain Borders with Federated Few-Shot Adaptation. ICPRAM 2024: 511-521- 2023
- [j8]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) - 2022
- [b1]Christoph Raab:
Learning in non-stationary Environments. Bielefeld University, Germany, 2022 - [j7]Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
Dimensionality reduction in the context of dynamic social media data streams. Evol. Syst. 13(3): 387-401 (2022) - [j6]Christoph Raab, Manuel Röder, Frank-Michael Schleif:
Domain adversarial tangent subspace alignment for explainable domain adaptation. Neurocomputing 506: 418-429 (2022) - [j5]Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
Passive concept drift handling via variations of learning vector quantization. Neural Comput. Appl. 34(1): 89-100 (2022) - [c14]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 - [i4]Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif:
Federated Learning - Methods, Applications and beyond. CoRR abs/2212.11729 (2022) - 2021
- [c13]Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif:
Federated Learning - Methods, Applications and beyond. ESANN 2021 - [c12]Christoph Raab, Sascha Saralajew, Frank-Michael Schleif:
Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation. ESANN 2021 - 2020
- [j4]Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif:
Data-Driven Supervised Learning for Life Science Data. Frontiers Appl. Math. Stat. 6: 553000 (2020) - [j3]Christoph Raab, Frank-Michael Schleif:
Transfer learning extensions for the probabilistic classification vector machine. Neurocomputing 397: 320-330 (2020) - [j2]Christoph Raab, Moritz Heusinger, Frank-Michael Schleif:
Reactive Soft Prototype Computing for Concept Drift Streams. Neurocomputing 416: 340-351 (2020) - [j1]Frank-Michael Schleif, Christoph Raab, Peter Tiño:
Sparsification of core set models in non-metric supervised learning. Pattern Recognit. Lett. 129: 1-7 (2020) - [c11]Christoph Raab, Philipp Väth, Peter Meier, Frank-Michael Schleif:
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks. ACCV (3) 2020: 457-473 - [c10]Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers. EAIS 2020: 1-8 - [c9]Christoph Raab, Peter Meier, Frank-Michael Schleif:
Domain Invariant Representations with Deep Spectral Alignment. ESANN 2020: 509-514 - [c8]Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif:
Structure Preserving Encoding of Non-euclidean Similarity Data. ICPRAM 2020: 43-51 - [c7]Maximilian Münch, Christoph Raab, Frank-Michael Schleif:
Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. ICPRAM (Revised Selected Papers) 2020: 112-137 - [c6]Christoph Raab, Frank-Michael Schleif:
Low-Rank Subspace Override for Unsupervised Domain Adaptation. KI 2020: 132-147 - [i3]Christoph Raab, Moritz Heusinger, Frank-Michael Schleif:
Reactive Soft Prototype Computing for Concept Drift Streams. CoRR abs/2007.05432 (2020) - [i2]Christoph Raab, Frank-Michael Schleif:
Transfer learning extensions for the probabilistic classification vector machine. CoRR abs/2007.07090 (2020)
2010 – 2019
- 2019
- [c5]Christoph Raab, Moritz Heusinger, Frank-Michael Schleif:
Reactive Soft Prototype Computing for frequent reoccurring Concept Drift. ESANN 2019 - [c4]Moritz Heusinger, Christoph Raab, Frank-Michael Schleif:
Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization. WSOM+ 2019: 200-209 - [i1]Christoph Raab, Frank-Michael Schleif:
Domain Adaptation via Low-Rank Basis Approximation. CoRR abs/1907.01343 (2019) - 2018
- [c3]Christoph Raab, Frank-Michael Schleif:
Transfer learning for the probabilistic classification vector machine. COPA 2018: 187-200 - [c2]Christoph Raab, Frank-Michael Schleif:
Sparse Transfer Classification for Text Documents. KI 2018: 169-181 - [c1]Frank-Michael Schleif, Christoph Raab, Peter Tiño:
Sparsification of Indefinite Learning Models. S+SSPR 2018: 173-183
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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