Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
- 2025
- Published
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
- Published
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
- Published
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
- Accepted/In press
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
- Published
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
- Published
Toward Learning Distributions of Distributions
Wohlstein, M. & Brefeld, U., 2025, In: Proceedings of Machine Learning Research. 265, p. 269-275 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- 2024
- Submitted
Studying properties of water data using manifold-aware anomaly detectors
Paulsen, T. & Brefeld, U., 23.04.2024, (Submitted) Design of Cyber-Secure Water Plants. Mathur, A., Zhou, J. & Raman, G. (eds.). MDPI AG, (Water).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
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
- 2023
- Published
Hands in Focus: Sign Language Recognition Via Top-Down Attention
Sarhan, N., Wilms, C., Closius, V., Brefeld, U. & Frintrop, S., 08.10.2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings: Proceedings. Piscataway: IEEE Electromagnetic Compatibility Society, p. 2555-2559 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Exploring the Poincaré Ellipsis
Fadel, S., Paulsen, T. & Brefeld, U., 09.2023, 20th Machine Learning on Graphs workshop.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review