Ulf Brefeld

Prof. Dr.

  1. 2015
  2. Mining positional data streams

    Haase, J. & Brefeld, U., 2015, New Frontiers in Mining Complex Patterns. Springer Verlag, p. 102-116 15 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. 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/worksArticle in conference proceedingsResearchpeer-review

  4. 2014
  5. Factored MDPs for detecting topics of user sessions

    Tavakol, M. & Brefeld, U., 06.10.2014, RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 33-40 8 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. Adaptive Speed Tests

    Bengs, D. & Brefeld, U., 2014, Proceedings of the German Workshop on Knowledge Discovery and Machine Learning. Henrich, A. & Sperker, H.-C. (eds.). Bamberg: Lehrstuhl für Medieninformatik - Universität Bamberg, p. 86-90 4 p.

    Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

  7. An Off-the-shelf Approach to Authorship Attribution

    Nasir, J. A., Görnitz, N. & Brefeld, U., 2014, COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers. Dublin: Association for Computational Linguistics (ACL), p. 895-904 10 p. (COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. 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/worksArticle in conference proceedingsResearchpeer-review

  9. Learning shortest paths in word graphs

    Tzouridis, 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/worksArticle in conference proceedingsResearchpeer-review

  10. Learning to Summarise Related Sentences

    Tzouridis, E., Nasir, J. A. & Brefeld, U., 2014, COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers. Dublin: Association for Computational Linguistics (ACL), p. 1636-1647 12 p. (COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  11. 2013
  12. Toward supervised anomaly detection

    Görnitz, N., Kloft, M., Rieck, K. & Brefeld, U., 20.02.2013, In: Journal of Artificial Intelligence Research. 46, p. 235-262 28 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  13. Finding Similar Movements in Positional Data Streams

    Haase, J. & Brefeld, U., 2013, Machine Learning and Data Mining for Sports Analytics - MLSA 2013: Proceedings. Jesse, D., Van Haaren, J. & Zimmermann, A. (eds.). Prag: Sun Site Central Europe (RWTH Aachen University), p. 49-57 9 p. (CEUR Workshop Proceedings; no. 1969).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  14. 2012
  15. 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 contributionsJournal articlesResearchpeer-review

  16. 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/worksArticle in conference proceedingsResearchpeer-review

  17. 2011
  18. p-norm multiple kernel learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 03.2011, In: Journal of Machine Learning Research. 12, p. 953-997 45 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  19. 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 contributionsJournal articlesResearchpeer-review

  20. Document assignment in multi-site search engines

    Brefeld, U., Barla Cambazoglu, B. & Junqueira, F. R., 2011, Proceedings of the fourth ACM international conference on Web search and data mining . New York: Association for Computing Machinery, Inc, p. 575-584 10 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  21. 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/worksArticle in conference proceedingsResearchpeer-review

  22. 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 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/worksArticle in conference proceedingsResearchpeer-review

  23. Learning to rank user intent

    Giannopoulos, G., Brefeld, U., Dalamagas, T. & Sellis, T., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management . Association for Computing Machinery, Inc, p. 195-200 6 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  24. lp-Norm Multiple Kernel Learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 2011, In: Journal of Machine Learning Research. 2011, 12, p. 953-997 45 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  25. 2010
  26. Approximate tree kernels

    Rieck, K., Krueger, T., Brefeld, U. & Müller, K. R., 02.2010, In: Journal of Machine Learning Research. 11, p. 555-580 26 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review