Christoph Raab

According to our database, Christoph Raab authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Crossing Domain Borders with Federated Few-Shot Adaptation.

Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Static and adaptive subspace information fusion for indefinite heterogeneous proximity data.

Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif

Neurocomputing, October, 2023

2022

Learning in non-stationary Environments.

Christoph Raab

PhD thesis, 2022

Passive concept drift handling via variations of learning vector quantization.

Moritz Heusinger, Christoph Raab, Frank-Michael Schleif

Neural Comput. Appl., 2022

Domain adversarial tangent subspace alignment for explainable domain adaptation.

Christoph Raab, Manuel Röder, Frank-Michael Schleif

Neurocomputing, 2022

Dimensionality reduction in the context of dynamic social media data streams.

Moritz Heusinger, Christoph Raab, Frank-Michael Schleif

Evol. Syst., 2022

Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.

Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation.

Christoph Raab, Sascha Saralajew, Frank-Michael Schleif

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Federated Learning - Methods, Applications and beyond.

Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Sparsification of core set models in non-metric supervised learning.

Frank-Michael Schleif, Christoph Raab, Peter Tiño

Pattern Recognit. Lett., 2020

Transfer learning extensions for the probabilistic classification vector machine.

Christoph Raab, Frank-Michael Schleif

Neurocomputing, 2020

Reactive Soft Prototype Computing for Concept Drift Streams.

Christoph Raab, Moritz Heusinger, Frank-Michael Schleif

Neurocomputing, 2020

Data-Driven Supervised Learning for Life Science Data.

Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif

Frontiers Appl. Math. Stat., 2020

Low-Rank Subspace Override for Unsupervised Domain Adaptation.

Christoph Raab, Frank-Michael Schleif

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.

Maximilian Münch, Christoph Raab, Frank-Michael Schleif

Proceedings of the Pattern Recognition Applications and Methods, 2020

Structure Preserving Encoding of Non-euclidean Similarity Data.

Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Domain Invariant Representations with Deep Spectral Alignment.

Christoph Raab, Peter Meier, Frank-Michael Schleif

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers.

Moritz Heusinger, Christoph Raab, Frank-Michael Schleif

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks.

Christoph Raab, Philipp Väth, Peter Meier, Frank-Michael Schleif

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Domain Adaptation via Low-Rank Basis Approximation.

Christoph Raab, Frank-Michael Schleif

CoRR, 2019

Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization.

Moritz Heusinger, Christoph Raab, Frank-Michael Schleif

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Reactive Soft Prototype Computing for frequent reoccurring Concept Drift.

Christoph Raab, Moritz Heusinger, Frank-Michael Schleif

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Sparsification of Indefinite Learning Models.

Frank-Michael Schleif, Christoph Raab, Peter Tiño

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Sparse Transfer Classification for Text Documents.

Christoph Raab, Frank-Michael Schleif

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Transfer learning for the probabilistic classification vector machine.

Christoph Raab, Frank-Michael Schleif

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018