| 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 | 7 | 2019 |
| Reactive Soft Prototype Computing for frequent reoccurring Concept Drift. C Raab, M Heusinger, FM Schleif ESANN, 2019 | 7 | 2019 |
| Sparsification of core set models in non-metric supervised learning FM Schleif, C Raab, P Tino Pattern Recognition Letters 129, 1-7, 2020 | 3 | 2020 |
| Sparse transfer classification for text documents C Raab, FM Schleif Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018 | 3 | 2018 |
| Transfer learning extensions for the probabilistic classification vector machine C Raab, FM Schleif Neurocomputing 397, 320-330, 2020 | 2 | 2020 |
| Sparsification of indefinite learning models FM Schleif, C Raab, P Tino Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2018 | 2 | 2018 |
| Domain adaptation via low-rank basis approximation C Raab, FM Schleif arXiv preprint arXiv:1907.01343, 2019 | 1 | 2019 |
| Transfer learning for the probabilistic classification vector machine C Raab, FM Schleif Conformal and Probabilistic Prediction and Applications, 187-200, 2018 | 1 | 2018 |
| 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 |
Frank-Michael SchleifProfessor of Computational Intelligence, UAS Würzburg-SchweinfurtVerified email at fhws.de
