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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

Publikation: Bücher und Anthologien › Konferenzbände und -dokumentationen › Forschung

Authors

  • Ulf Brefeld (Herausgeber*in)
  • Elisa Fromont (Herausgeber*in)
  • Andreas Hotho (Herausgeber*in)
  • Arno Knobbe (Herausgeber*in)
  • Marloes Maathuis (Herausgeber*in)
  • Céline Robardet (Herausgeber*in)
OriginalspracheEnglisch
ErscheinungsortCham
VerlagSpringer Nature Switzerland AG
Band3
Anzahl der Seiten804
ISBN (Print)978-3-030-46132-4
ISBN (elektronisch)978-3-030-46133-1
DOIs
PublikationsstatusErschienen - 2020
VeranstaltungJoint European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2019 - Würzburg, Deutschland
Dauer: 16.09.2019 → 20.09.2019
https://ecmlpkdd2019.org/

Publikationsreihe

NameLecture notes in computer science
VerlagSpringer
Band11906
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349
NameLecture Notes in Artificial Intelligence
VerlagSpringer
Band11906
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

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Interactive sequential generative models for team sports

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Joint Item Response Models for Manual and Automatic Scores on Open-Ended Test Items

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Machine Learning and Data Mining for Sports Analytics: 11th International Workshop, MLSA 2024, Vilnius, Lithuania, September 9, 2024, Revised Selected Papers

Brefeld, U. (Herausgeber*in), Davis, J. (Herausgeber*in), Van Haaren, J. (Herausgeber*in) & Zimmermann, A. (Herausgeber*in), 2025, Cham: Springer Verlag. 119 S. (Communications in Computer and Information Science; Band 2460)

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Masked autoencoder for multiagent trajectories

Rudolph, Y. & Brefeld, U., 02.2025, in: Machine Learning. 114, 2, 18 S., 44.

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The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions

Zantvoort, K., Matthiesen, J., Bjurner, P., Bendix, M., Brefeld, U., Funk, B. & Kaldo, V., 06.2025, in: Internet Interventions. 40, 7 S., 100828.

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DOI

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