Ulf Brefeld

Prof. Dr.

  1. 2014
  2. 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

  3. 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

  4. 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

  5. 2013
  6. 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

  7. 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

  8. 2012
  9. 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

  10. 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

  11. 2011
  12. 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

  13. 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

  14. 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

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