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Maximilian Münch
Maximilian Münch
University of Groningen; University of Applied Sciences Würzburg-Schweinfurt
Verified email at fhws.de
Title
Cited by
Cited by
Year
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
102020
Towards a device-free passive presence detection system with Bluetooth Low Energy beacons.
M Münch, K Huffstadt, FM Schleif
ESANN, 2019
72019
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
62021
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
52022
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
52020
Device-Free Passive Human Counting with Bluetooth Low Energy Beacons
M Münch, FM Schleif
Advances in Computational Intelligence: 15th International Work-Conference …, 2019
42019
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
32022
Encoding of indefinite proximity data: A structure preserving perspective
M Münch, C Raab, FM Schleif
Pattern Recognition Applications and Methods: 9th International Conference …, 2020
32020
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
22021
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
12022
Multi-perspective embedding for non-metric time series classification
M Münch, S Heilig, FM Schleif
29th European Symposium on Artificial Neural Networks, Computational …, 2021
12021
Efficient Cross-Domain Federated Learning by MixStyle Approximation
M Röder, L Heller, M Münch, FM Schleif
arXiv preprint arXiv:2312.07064, 2023
2023
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
2023
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
Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection
M Münch, KS Bohnsack, A Engelsberger, FM Schleif, T Villmann
Learning classification models from multiple, heterogeneous perspectives
M Münch, FM Schleif
MiWoCI Workshop-2021, 29, 0
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