Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
- PublishedHands in Focus: Sign Language Recognition Via Top-Down AttentionSarhan, 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 
- Hybrid models for future event predictionAmodeo, 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 
- PublishedInfinite Mixtures of Markov ChainsReubold, 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 Verlag, 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 
- Insights from classifying visual concepts with multiple kernel learningBinder, 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 
- PublishedInteractive sequential generative models for team sportsFassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.Research output: Journal contributions › Journal articles › Research › peer-review 
- Accepted/In pressJoint Item Response Models for Manual and Automatic Scores on Open-Ended Test ItemsBengs, D., Brefeld, U., Kroehne, U. & Zehner, F., 2025, (Accepted/In press) In: Psychometrika.Research output: Journal contributions › Journal articles › Research › peer-review 
- PublishedJoint optimization of an autoencoder for clustering and embeddingBoubekki, 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 
- Learning from partially annotated sequencesFernandes, 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 Verlag, 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 
- Learning linear classifiers sensitive to example dependent and noisy costsGeibel, 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 shortest paths in word graphsTzouridis, E. & Brefeld, U., 2014, Knowledge Discovery, Data Mining and Machi- ne Learning (KDML-2013). Henrich, A. & Sperker, H.-C. (eds.). Bamberg: Lehrstuhl für Medieninformatik - Universität Bamberg, p. 113-116 4 p.- Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review 
