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Ulf Brefeld

Prof. Dr.

Ulf Brefeld

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Prof. Dr. Ulf Brefeld

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  1. Published

    Semi-Supervised Generative Models for Multi-Agent Trajectories

    Brefeld, U., Fassmeyer, D. & Fassmeyer, P., 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook: Curran Associates, Vol. 48. p. 37267-37281 15 p. (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  2. Semi-supervised learning for structured output variables

    Brefeld, U. & Scheffer, T., 01.01.2006, Proceedings of the 23rd international conference on Machine learning. Cohen, W. & Moore, A. (eds.). Association for Computing Machinery, Inc, p. 145-152 8 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  3. Published

    Simultaneous Constrained Adaptive Item Selection for Group-Based Testing

    Bengs, D., Kroehne, U. & Brefeld, U., 01.06.2021, In: Journal of Educational Measurement. 58, 2, p. 236-261 26 p.

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

  4. Published

    Space and Control in Soccer

    Martens, F., Dick, U. & Brefeld, U., 16.07.2021, In: Frontiers in Sports and Active Living . 3, 13 p., 676179.

    Research output: Journal contributions › Journal articles › Research

  5. Published

    Spatio-Temporal Convolution Kernels

    Knauf, K., Memmert, D. & Brefeld, U., 01.02.2016, In: Machine Learning. 102, 2, p. 247-273 27 p.

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

  6. Structrank: A new approach for ligand-based virtual Screening

    Rathke, F., Hansen, K., Brefeld, U. & Müller, K. R., 24.01.2011, In: Journal of Chemical Information and Modeling. 51, 1, p. 83-92 10 p.

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

  7. 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

  8. Supervised clustering of streaming data for email batch detection

    Haider, P., Brefeld, U. & Scheffer, T., 2007, Proceedings of the 24th international conference on Machine learning. Ghahramani, Z. (ed.). New York: Association for Computing Machinery, Inc, p. 345-352 8 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  9. Support vector machines with example dependent costs

    Brefeld, U., Geibel, P. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2837, p. 23-34 12 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  10. Systematic feature evaluation for gene name recognition

    Hakenberg, J., Bickel, S., Plake, C., Brefeld, U., Zahn, H., Faulstich, L., Leser, U. & Scheffer, T., 24.05.2005, In: BMC Bioinformatics. 6, SUPPL.1, 11 p., S9.

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

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