Research output per year
Research output per year
Personal profile
Education/Academic qualification
Management & Data Science, Master, Leuphana Universität Lüneburg
01.10.2016 → 31.01.2019
Award Date: 29.01.2019
Economics, Bachelor, FernUniversität in Hagen
01.04.2012 → 30.09.2016
Award Date: 07.09.2016
Fine Arts, Master, Braunschweig University of Art
01.10.2004 → 30.09.2009
Award Date: 19.06.2009
Keywords
- Business informatics
- Informatics
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Dive into the research topics where Yannick Rudolph is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research collaborations from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Principled Transformers for Predictive Performance in Knowledge Tracing
Neubauer, K., Rudolph, Y. & Brefeld, U., 2026, In: Journal of Educational Data Mining. 18, 1, p. 89-112 24 p.Research output: Journal contributions › Journal articles › Research › peer-review
Open Access -
Self-improvement for Computerized Adaptive Testing
Rudolph, Y., Neubauer, K. & Brefeld, U., 2026, Machine Learning and Knowledge Discovery in Databases - Research Track: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part II. Ribeiro, R. P., Pfahringer, B., Japkowicz, N., Larrañaga, P., Jorge, A. M., Soares, C., Abreu, P. H. & Gama, J. (eds.). Cham: Springer International Publishing, Vol. 2. p. 70-86 17 p. (Lecture Notes in Computer Science; vol. 16014 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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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
Open Access -
Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Convolutional Neural Networks
Rudolph, Y. & Brefeld, U., 01.01.2023, Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten. Memmert, D. (ed.). Berlin: Springer Spektrum, p. 207-215 9 p.Research output: Contributions to collected editions/works › Chapter
Activities
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Self-improvement for Computerized Adaptive Testing
Rudolph, Y. (Speaker), Neubauer, K. (Speaker) & Brefeld, U. (Coauthor)
16.09.2025Activity: Talk or presentation › Conference Presentations › Research
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Team Sports Analytics (ECML/PKDD Tutorial)
Rudolph, Y. (Speaker), Robberechts, P. (Speaker), Van Roy, M. (Speaker) & Zimmermann, A. (Speaker)
13.09.2024Activity: Talk or presentation › Conference Presentations › Research
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Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Rudolph, Y. (Speaker) & Brefeld, U. (Coauthor)
18.09.2023Activity: Talk or presentation › talk or presentation in privat or public events › Research
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Data-efficient Pattern Detection in Elite Soccer
Rudolph, Y. (Speaker), Faßmeyer, D. (Coauthor) & Brefeld, U. (Coauthor)
26.05.2023Activity: Talk or presentation › Conference Presentations › Research
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Modeling Conditional Dependencies in Multiagent Trajectories
Rudolph, Y. (Speaker) & Brefeld, U. (Coauthor)
28.03.2022Activity: Talk or presentation › Presentations (poster etc.) › Research