Christoph Raab

29 papers B 5C 2Misc 2Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation. CoRR Manuel Röder, Christoph Raab, Frank-Michael Schleif
2024	C	`conf`	Crossing Domain Borders with Federated Few-Shot Adaptation. ICPRAM Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif
2023	J	`jnl`	Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
2022	B	`conf`	Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. ESANN Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif
2022	J	`jnl`	Dimensionality reduction in the context of dynamic social media data streams. Evol. Syst. Moritz Heusinger, Christoph Raab, Frank-Michael Schleif
2022	J	`jnl`	Domain adversarial tangent subspace alignment for explainable domain adaptation. Neurocomputing Christoph Raab, Manuel Röder, Frank-Michael Schleif
2022	J	`jnl`	Federated Learning - Methods, Applications and beyond. CoRR Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif
2022	—	`—`	Learning in non-stationary Environments. Christoph Raab
2022	J	`jnl`	Passive concept drift handling via variations of learning vector quantization. Neural Comput. Appl. Moritz Heusinger, Christoph Raab, Frank-Michael Schleif
2021	B	`conf`	Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation. ESANN Christoph Raab, Sascha Saralajew, Frank-Michael Schleif
2021	B	`conf`	Federated Learning - Methods, Applications and beyond. ESANN Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif
2020	—	`conf`	Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers. EAIS Moritz Heusinger, Christoph Raab, Frank-Michael Schleif
2020	—	`conf`	Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks. ACCV (3) Christoph Raab, Philipp Väth, Peter Meier, Frank-Michael Schleif
2020	J	`jnl`	Data-Driven Supervised Learning for Life Science Data. Frontiers Appl. Math. Stat. Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
2020	B	`conf`	Domain Invariant Representations with Deep Spectral Alignment. ESANN Christoph Raab, Peter Meier, Frank-Michael Schleif
2020	—	`conf`	Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. ICPRAM (Revised Selected Papers) Maximilian Münch, Christoph Raab, Frank-Michael Schleif
2020	Misc	`conf`	Low-Rank Subspace Override for Unsupervised Domain Adaptation. KI Christoph Raab, Frank-Michael Schleif
2020	J	`jnl`	Reactive Soft Prototype Computing for Concept Drift Streams. CoRR Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
2020	J	`jnl`	Reactive Soft Prototype Computing for Concept Drift Streams. Neurocomputing Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
2020	J	`jnl`	Sparsification of core set models in non-metric supervised learning. Pattern Recognit. Lett. Frank-Michael Schleif, Christoph Raab, Peter Tiño
2020	C	`conf`	Structure Preserving Encoding of Non-euclidean Similarity Data. ICPRAM Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
2020	J	`jnl`	Transfer learning extensions for the probabilistic classification vector machine. CoRR Christoph Raab, Frank-Michael Schleif
2020	J	`jnl`	Transfer learning extensions for the probabilistic classification vector machine. Neurocomputing Christoph Raab, Frank-Michael Schleif
2019	J	`jnl`	Domain Adaptation via Low-Rank Basis Approximation. CoRR Christoph Raab, Frank-Michael Schleif
2019	—	`conf`	Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization. WSOM+ Moritz Heusinger, Christoph Raab, Frank-Michael Schleif
2019	B	`conf`	Reactive Soft Prototype Computing for frequent reoccurring Concept Drift. ESANN Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
2018	Misc	`conf`	Sparse Transfer Classification for Text Documents. KI Christoph Raab, Frank-Michael Schleif
2018	—	`conf`	Sparsification of Indefinite Learning Models. S+SSPR Frank-Michael Schleif, Christoph Raab, Peter Tiño
2018	—	`conf`	Transfer learning for the probabilistic classification vector machine. COPA Christoph Raab, Frank-Michael Schleif