Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
- Article in conference proceedings › Research › Peer-reviewed
- 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
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
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
Toward Data-Driven Analyses of Electronic Text Books
Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2015, Proceedings of the 8th International Conference on Educational Data Mining. Santos, O. C., Boticario, J. G., Romero, C., Pechenizkiy, M., Merceron, A., Mitros, P., Luna, J. M., Mihaescu, C., Moreno, P., Hershkovitz, A., Ventura, S. & Desmarais, M. (eds.). Madrid: National University for Distance Education (UNED), p. 592-593 2 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Transductive support vector machines for structured variables
Zien, A., Brefeld, U. & Scheffer, T., 2007, Proceedings of the 24th international conference on Machine learning. New York: Association for Computing Machinery, Inc, p. 1183-1190 8 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Uma Caracterização das Polı́ticas de Privacidade Utilizadas em Aplicativos no Brasil
Jardim, G. P. S., Rabello, M. E. R., Lima, A. C., Brefeld, U. & Quadros dos Reis, V., 05.08.2022, Anais do III Workshop sobre as Implicações da Computação na Sociedade (WICS). Sociedade Brasileira de Computação (SBC), p. 13-25 13 p. (WORKSHOP SOBRE AS IMPLICAÇÕES DA COMPUTAÇÃO NA SOCIEDADE (WICS); no. 3/2022).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Using Wikipedia for Cross-Language Named Entity Recognition
Fernandes, E. R., Brefeld, U., Blanco, R. & Atserias, J., 2016, Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Atzmüller, M., Chin, A., Janssen, F., Schweizer, I. & Trattner, C. (eds.). Springer International Publishing AG, p. 1-25 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9546).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Article in conference proceedings › Research › Not peer-reviewed
- Published
User Authentication via Multifaceted Mouse Movements and Outlier Exposure
Matthiesen, J. J., Hastedt, H. & Brefeld, U., 01.04.2023, Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux, B., Hess, S. & Nijssen, S. (eds.). Cham: Springer Nature Switzerland AG, p. 300-313 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13876 LNCS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research
- Conference proceedings › Research
- Published
Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Brefeld, U. (ed.), Davis, J. (ed.), van Haaren, J. (ed.) & Zimmermann, A. (ed.), 2020, Cham: Springer International Publishing AG. 146 p. (Communications in Computer and Information Science; vol. 1324)Research output: Books and anthologies › Conference proceedings › Research
- Published
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research