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Ulf Brefeld

Prof. Dr.

Ulf Brefeld

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Prof. Dr. Ulf Brefeld

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  1. 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

  2. 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, 40, 7 p., 100828.

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Published

    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

  10. 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

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