M.A. Munch

PhD student

Faculteit Science and Engineering

Telefoon:

050 36 33939

E-mail:

m.a.munch rug.nl

Research Portal

Publicaties

Crossing Domain Borders with Federated Few-Shot Adaptation

Röder, M., Munch, M., Raab, C. & Schleif, F. M., 2024, Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Castrillon-Santana, M., De Marsico, M. & Fred, A. (uitgave). SciTePress, blz. 511-521 11 blz. (International Conference on Pattern Recognition Applications and Methods; vol. 1).

Onderzoeksoutput: Conference contribution › › peer review

Data-distribution-informed Nyström approximation for structured data using vector quantization-based landmark determination

Münch, M., Bohnsack, K. S., Schleif, F. M. & Villmann, T., 1-sep.-2024, In: Neurocomputing. 596, 14 blz., 128100.

Onderzoeksoutput › › peer review

Static and adaptive subspace information fusion for indefinite heterogeneous proximity data

Münch, M., Röder, M., Heilig, S., Raab, C. & Schleif, F. M., 28-okt.-2023, In: Neurocomputing. 555, 126635.

Onderzoeksoutput › › peer review

Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models

Münch, M., Röder, M. & Schleif, F. M., 21-okt.-2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM Press Digital Library, blz. 1867-1876 10 blz. (International Conference on Information and Knowledge Management, Proceedings).

Onderzoeksoutput: Conference contribution › › peer review

PROVAL: A framework for comparison of protein sequence embeddings

Väth, P., Münch, M., Raab, C. & Schleif, F. M., jun.-2022, In: Journal of Computational Mathematics and Data Science. 3, 20 blz., 100044.

Onderzoeksoutput › › peer review

Complex-Valued Embeddings of Generic Proximity Data

Münch, M., Straat, M., Biehl, M. & Schleif, F.-M., 2021, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). Torsello, A., Rossi, L., Pelillo, M., Biggio, B. & Robles-Kelly, A. (uitgave). Cham: Springer, blz. 14-23 10 blz. (Lecture Notes in Computer Science; vol. 12644).

Onderzoeksoutput: Conference contribution › › peer review

Multi-perspective embedding for non-metric time series classification

Münch, M., Heilig, S. & Schleif, F. M., 2021, ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, blz. 635-640 6 blz. (ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Onderzoeksoutput: Conference contribution › › peer review

Alle (10) publicaties

Bekijk volledig onderzoeksprofiel

M.A. Munch

Publicaties

Crossing Domain Borders with Federated Few-Shot Adaptation

Data-distribution-informed Nyström approximation for structured data using vector quantization-based landmark determination

Static and adaptive subspace information fusion for indefinite heterogeneous proximity data

Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models

PROVAL: A framework for comparison of protein sequence embeddings

Complex-Valued Embeddings of Generic Proximity Data

Multi-perspective embedding for non-metric time series classification

Scalable embedding of multiple perspectives for indefinite life-science data analysis

Complex-valued embeddings of generic proximity data

Data-Driven Supervised Learning for Life Science Data