| 2024 | ICPRAM | Crossing Domain Borders with Federated Few-Shot Adaptation. | Manuel Rder, Maximilian Mnch, Christoph Raab, Frank-Michael Schleif |
| 2022 | ESANN | Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. | Maximilian Mnch, Christoph Raab, Simon Heilig, Manuel Rder, Frank-Michael Schleif |
| 2021 | ESANN | Federated Learning - Methods, Applications and beyond. | Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif |
| 2021 | ESANN | Domain Adversarial Tangent Learning Towards Interpretable Domain Adaptation. | Christoph Raab, Sascha Saralajew, Frank-Michael Schleif |
| 2020 | ACCV | Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks. | Christoph Raab, Philipp Vth, Peter Meier, Frank-Michael Schleif |
| 2020 | ESANN | Domain Invariant Representations with Deep Spectral Alignment. | Christoph Raab, Peter Meier, Frank-Michael Schleif |
| 2020 | ICPRAM | Structure Preserving Encoding of Non-euclidean Similarity Data. | Maximilian Mnch, Christoph Raab, Michael Biehl, Frank-Michael Schleif |
| 2020 | ICPRAM | Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. | Maximilian Mnch, Christoph Raab, Frank-Michael Schleif |
| 2020 | KI | Low-Rank Subspace Override for Unsupervised Domain Adaptation. | Christoph Raab, Frank-Michael Schleif |
| 2019 | ESANN | Reactive Soft Prototype Computing for frequent reoccurring Concept Drift. | Christoph Raab, Moritz Heusinger, Frank-Michael Schleif |
| 2018 | KI | Sparse Transfer Classification for Text Documents. | Christoph Raab, Frank-Michael Schleif |
| 2018 | SSPR | Sparsification of Indefinite Learning Models. | Frank-Michael Schleif, Christoph Raab, Peter Tio |