Christoph Raab
Christoph Raab
University of applied science Würzburg-Schweinfurt
Verified email at fhws.de
Title
Cited by
Cited by
Year
Passive concept drift handling via momentum based robust soft learning vector quantization
M Heusinger, C Raab, FM Schleif
International Workshop on Self-Organizing Maps, 200-209, 2019
72019
Reactive Soft Prototype Computing for frequent reoccurring Concept Drift.
C Raab, M Heusinger, FM Schleif
ESANN, 2019
72019
Sparsification of core set models in non-metric supervised learning
FM Schleif, C Raab, P Tino
Pattern Recognition Letters 129, 1-7, 2020
32020
Sparse transfer classification for text documents
C Raab, FM Schleif
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018
32018
Transfer learning extensions for the probabilistic classification vector machine
C Raab, FM Schleif
Neurocomputing 397, 320-330, 2020
22020
Sparsification of indefinite learning models
FM Schleif, C Raab, P Tino
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2018
22018
Domain adaptation via low-rank basis approximation
C Raab, FM Schleif
arXiv preprint arXiv:1907.01343, 2019
12019
Transfer learning for the probabilistic classification vector machine
C Raab, FM Schleif
Conformal and Probabilistic Prediction and Applications, 187-200, 2018
12018
Low-Rank Subspace Override for Unsupervised Domain Adaptation
C Raab, FM Schleif
German Conference on Artificial Intelligence (Künstliche Intelligenz), 132-147, 2020
2020
Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks
C Raab, P Vath, P Meier, FM Schleif
Proceedings of the Asian Conference on Computer Vision, 2020
2020
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Articles 1–10