Maximilian Munch

  • Nijenborgh9

    9747 AG Groningen

    Netherlands

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  • 2024

    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. (eds.). SciTePress, p. 511-521 11 p. (International Conference on Pattern Recognition Applications and Methods; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    1 Citation (Scopus)
  • 2023

    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-Oct-2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM Press Digital Library, p. 1867-1876 10 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    83 Downloads (Pure)
  • 2021

    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. (eds.). Cham: Springer, p. 14-23 10 p. (Lecture Notes in Computer Science; vol. 12644).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    4 Citations (Scopus)
    665 Downloads (Pure)
  • 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, p. 635-640 6 p. (ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    46 Downloads (Pure)
  • Scalable embedding of multiple perspectives for indefinite life-science data analysis

    Munch, M., Heilig, S., Vath, P. & Schleif, F. M., 24-Jan-2021, 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings. IEEE, 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
    File
    2 Citations (Scopus)
    110 Downloads (Pure)