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

Ulf Brefeld; Elisa Fromont; Andreas  Hotho; Arno Knobbe; Marloes Maathuis; Céline Robardet

doi:10.1007/978-3-030-46147-8

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

Research output: Books and anthologies › Conference proceedings › Research

Authors

Ulf Brefeld (Editor)
Elisa Fromont (Editor)
Andreas Hotho (Editor)
Arno Knobbe (Editor)
Marloes Maathuis (Editor)
Céline Robardet (Editor)

Professorship for Information Systems, in particular Machine Learning

Original language	English

Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Volume	2
Number of pages	732
ISBN (print)	978-3-030-46146-1
ISBN (electronic)	978-3-030-46147-8
DOIs	https://doi.org/10.1007/978-3-030-46147-8
Publication status	Published - 2020
Event	Joint European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2019 - Würzburg, Germany Duration: 16.09.2019 → 20.09.2019 https://ecmlpkdd2019.org/

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	11906
ISSN (Print)	0302-9743
ISSN (electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	11906
ISSN (Print)	0302-9743
ISSN (electronic)	1611-3349

Research areas

Business informatics

Other publications by the same author(s)

Interactive sequential generative models for team sports

Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

Research output: Journal contributions › Journal articles › Research › peer-review

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

Bengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 2025, (Accepted/In press) In: Psychometrika.

Research output: Journal contributions › Journal articles › Research › peer-review

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

Brefeld, U. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 2025, Cham: Springer Verlag. 119 p. (Communications in Computer and Information Science; vol. 2460)

Research output: Books and anthologies › Conference proceedings › Research

Masked autoencoder for multiagent trajectories

Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

Research output: Journal contributions › Journal articles › Research › peer-review

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 p., 100828.

Research output: Journal contributions › Journal articles › Research › peer-review

DOI

https://doi.org/10.1007/978-3-030-46147-8
Final published version

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

Authors

Publication series

Research areas

Other publications by the same author(s)

Interactive sequential generative models for team sports

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

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

Masked autoencoder for multiagent trajectories

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

DOI

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