Maximilian Munch

Search results

• 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 International Publishing, p. 14-23 10 p. (Lecture Notes in Computer Science; vol. 12644).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  4 Citations (Scopus)

  422 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  13 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 proceeding › Conference contribution › Academic › peer-review

  Open Access

  File
  2 Citations (Scopus)

  42 Downloads (Pure)