Browse by research area

  1. 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

  2. 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, 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

  3. Published

    Development of a quality assurance framework for the open source development model

    Otte, T., Moreton, R. & Knöll, H-D., 01.10.2008, Proceedings - The 3rd International Conference on Software Engineering Advances, ICSEA 2008, Includes ENTISY 2008: International Workshop on Enterprise Information Systems. IEEE - Institute of Electrical and Electronics Engineers Inc., p. 123-131 9 p. 4668098. (Proceedings of TheInternational Conference on Software Engineering Advances, ICSEA; vol. 2008).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

  4. 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

  5. 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

  6. Probleme und Strategien der Langzeitarchivierung multimedialer Objekte

    Loebel, J-M., 24.09.2007, INFORMATIK 2007 - Informatik Trifft Logistik, Beitrage der 37. Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Beiträge der 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI) – Proceedings. Koschke, R., Herzog, O., Rödiger, K-H. & Ronthaler, M. (eds.). Bonn: Köllen Verlag, Vol. 2. p. 509-514 6 p. (GI-Edition - Lecture Notes in Informatics (LNI); vol. 2, no. P-110).

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

  7. 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/worksArticle in conference proceedingsResearchpeer-review

  8. Efficient co-regularised least squares regression

    Brefeld, U., Gärtner, T., Scheffer, T. & Wrobel, S., 01.01.2006, Proceedings of the 23rd international conference on Machine learning. Cohen, W. (ed.). Association for Computing Machinery, Inc, p. 137-144 8 p. (ACM International Conference Proceeding Series; vol. 148).

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

  9. Using an adaptive memory strategy to improve a multistart heuristic for sequencing by hybridization

    Fernandes, E. R. & Ribeiro, C. C., 01.01.2005, Experimental and Efficient Algorithms: 4th International Workshop, WEA 2005, Santorini Island, Greece, May 10-13, 2005; Proceedings. Nikoletseas, S. E. (ed.). Berlin: Springer, p. 4-15 12 p. (Lecture Notes in Computer Science; vol. 3503).

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

  10. AUC Maximizing Support Vector Learning

    Brefeld, U. & Scheffer, T., 2005, ROC Analysis in Machine Learning. 8 p.

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