Ulf Brefeld

Prof. Dr.

  1. 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

  2. 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

  3. Efficient Classification of Images with Taxonomies

    Binder, A., Kawanabe, M. & Brefeld, U., 2010, Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Berlin, Heidelberg: Springer Verlag, p. 351-362 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5996 LNCS, no. PART 3).

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

  4. Active learning for network intrusion detection

    Görnitz, N., Kloft, M., Rieck, K. & Brefeld, U., 09.11.2009, AISec '09: Proceedings of the ACM Conference on Computer and Communications Security. Balfanz, D. & Staddon, J. (eds.). New York: Association for Computing Machinery, Inc, p. 47-54 8 p.

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

  5. Active and semi-supervised data domain description

    Görnitz, N., Kloft, M. & Brefeld, U., 01.07.2009, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (eds.). Berlin, Heidelberg: 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. 5781 LNAI, no. PART 1).

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

  6. Published

    Feature selection for density level-sets

    Kloft, M., Nakajima, S. & Brefeld, U., 2009, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (eds.). Heidelberg: Springer Verlag, p. 692-704 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5781 LNAI, no. PART 1).

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

  7. 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/worksArticle in conference proceedingsResearchpeer-review

  8. Exact and approximate inference for annotating graphs with structural SVMs

    Klein, T., Brefeld, U. & Scheffer, T., 2008, Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008. Daelemans, W., Goethals, B. & Morik, K. (eds.). Berlin, Heidelberg: Springer Verlag, p. 611-623 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5211 LNAI, no. PART 1).

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

  9. 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/worksArticle in conference proceedingsResearchpeer-review

  10. 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/worksArticle in conference proceedingsResearchpeer-review