Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
- Published
Distributed robust Gaussian Process regression
Mair, S. & Brefeld, U., 01.05.2018, In: Knowledge and Information Systems. 55, 2, p. 415-435 21 p.Research output: Journal contributions › Journal articles › Research › peer-review
Discriminative clustering for market segmentation
Haider, P., Chiarandini, L. & Brefeld, U., 2012, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. New York: Association for Computing Machinery, Inc, p. 417-425 9 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Data practices in apps from Brazil: What do privacy policies inform us about?
Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Data-driven analyses of electronic text books
Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2016, Solving large scale learning tasks: Challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Cham: Springer International Publishing, p. 362-376 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9580).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Published
Coresets for Archetypal Analysis
Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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
- Published
Contextual movement models based on normalizing flows
Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 03.2023, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 51-72 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
Computer-based Adaptive Speed Tests
Brefeld, U. & Bengs, D., 2014, The 7th International Conference on Educational Data Mining EDM 2014: Proceedings. Stamper, J., Pardos, Z., Mavrikis, M. & McLaren, B. M. (eds.). London, p. 221-224 4 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Co-EM Support Vector learning
Brefeld, U. & Scheffer, T., 2004, Proceeding ICML '04 Proceedings of the twenty-first international conference on Machine learning. New York: Association for Computing Machinery, Inc, p. 121-128 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Automatic feature selection for anomaly detection
Kloft, M., Brefeld, U., Düssel, P., Gehl, C. & Laskov, P., 27.10.2008, Proceedings of the 1st ACM workshop on Workshop on AISec. Balfanz, D. & Staddon, J. (eds.). New York: Association for Computing Machinery, Inc, p. 71-76 6 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review