| Data-driven supervised learning for life science data M Münch, C Raab, M Biehl, FM Schleif Frontiers in Applied Mathematics and Statistics 6, 553000, 2020 | 12 | 2020 |
| PROVAL: a framework for comparison of protein sequence embeddings P Väth, M Münch, C Raab, FM Schleif Journal of Computational Mathematics and Data Science 3, 100044, 2022 | 10 | 2022 |
| Towards a device-free passive presence detection system with Bluetooth Low Energy beacons. M Münch, K Huffstadt, FM Schleif ESANN, 2019 | 7 | 2019 |
| Complex-valued embeddings of generic proximity data M Münch, M Straat, M Biehl, FM Schleif Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2021 | 6 | 2021 |
| Structure preserving encoding of non-euclidean similarity data M Münch, C Raab, M Biehl, FM Schleif The 9th International Conference on Pattern Recognition Applications and …, 2020 | 5 | 2020 |
| Device-Free Passive Human Counting with Bluetooth Low Energy Beacons M Münch, FM Schleif Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 5 | 2019 |
| Memory efficient kernel approximation for non-stationary and indefinite kernels S Heilig, M Münch, FM Schleif 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| Encoding of indefinite proximity data: A structure preserving perspective M Münch, C Raab, FM Schleif Pattern Recognition Applications and Methods: 9th International Conference …, 2020 | 4 | 2020 |
| Crossing Domain Borders with Federated Few-Shot Adaptation. M Röder, M Münch, C Raab, FM Schleif ICPRAM, 511-521, 2024 | 2 | 2024 |
| Static and adaptive subspace information fusion for indefinite heterogeneous proximity data M Münch, M Röder, S Heilig, C Raab, FM Schleif Neurocomputing 555, 126635, 2023 | 2 | 2023 |
| Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. M Münch, C Raab, S Heilig, M Röder, FM Schleif ESANN, 2022 | 2 | 2022 |
| Scalable embedding of multiple perspectives for indefinite life-science data analysis M Münch, S Heilig, P Väth, FM Schleif 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 2 | 2021 |
| Efficient Cross-Domain Federated Learning by MixStyle Approximation M Röder, L Heller, M Münch, FM Schleif arXiv preprint arXiv:2312.07064, 2023 | 1 | 2023 |
| Sparse Nyström approximation for non-vectorial data using class-informed landmark selection M Münch, KS Bohnsack, A Engelsberger, FM Schleif, T Villmann ESANN, 2023 | 1 | 2023 |
| Multi-perspective embedding for non-metric time series classification M Münch, S Heilig, FM Schleif 29th European Symposium on Artificial Neural Networks, Computational …, 2021 | 1 | 2021 |
| Data-distribution-informed Nyström approximation for structured data using vector quantization-based landmark determination M Münch, KS Bohnsack, FM Schleif, T Villmann Neurocomputing 596, 128100, 2024 | | 2024 |
| Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models M Münch, M Röder, FM Schleif Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
| Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective S Heilig, M Münch, FM Schleif arXiv preprint arXiv:2112.09893, 2021 | | 2021 |
| Learning classification models from multiple, heterogeneous perspectives M Münch, FM Schleif MiWoCI Workshop-2021, 29, 0 | | |
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-Schweinfurtכתובת אימייל מאומתת בדומיין thws.de
