Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
Learning linear classifiers sensitive to example dependent and noisy costs
Geibel, P., Brefeld, U. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2810, p. 167-178 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
Learning from partially annotated sequences
Fernandes, E. R. & Brefeld, U., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). PART 1 ed. Heidelberg, Berlin: Springer, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Joint optimization of an autoencoder for clustering and embedding
Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.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
Insights from classifying visual concepts with multiple kernel learning
Binder, A., Nakajima, S., Kloft, M., Müller, C., Samek, W., Brefeld, U., Müller, K. R. & Kawanabe, M., 24.08.2012, In: PLoS ONE. 7, 8, e38897.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Infinite Mixtures of Markov Chains
Reubold, J., Boubekki, A., Strufe, T. & Brefeld, U., 2018, New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP 2017 : held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers. Appice, A., Loglisci, C., Manco, G. & Masciari, E. (eds.). Cham: Springer, p. 167-181 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10785 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Hybrid models for future event prediction
Amodeo, G., Blanco, R. & Brefeld, U., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management. Berendt, B., de Vries, A., Fan, W., Macdonald, C., Ounis, I. & Ruthven, I. (eds.). New York: Association for Computing Machinery, Inc, p. 1981-1984 4 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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
Guest editorial: Special issue on sports analytics
Brefeld, U. & Zimmermann, A., 01.11.2017, In: Data Mining and Knowledge Discovery. 31, 6, p. 1577-1579 3 p.Research output: Journal contributions › Other (editorial matter etc.) › Research
- Published
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.Research output: Journal contributions › Conference article in journal › Research › peer-review