1. //
  2. Start
  3. //
  4. Researchers
  5. //
  6. Ulf Brefeld
  7. //
  8. Publications
  9. //

Ulf Brefeld

Prof. Dr.

Ulf Brefeld

Contact

Prof. Dr. Ulf Brefeld

Links

Advanced search options
Advanced search options

Reset

    to
    61 - 80 out of 94Page size: 20

    1. 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/works › Article in conference proceedings › Research › peer-review

    2. 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/works › Article in conference proceedings › Research › peer-review

    3. 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/works › Article in conference proceedings › Research › peer-review

    4. 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/works › Article in conference proceedings › Research › peer-review

    5. 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/works › Contributions to collected editions/anthologies › Research › peer-review

    6. 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/works › Article in conference proceedings › Research › peer-review

    7. 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/works › Article in conference proceedings › Research › peer-review

    8. 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 contributions › Journal articles › Research › peer-review

    9. 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/works › Article in conference proceedings › Research › peer-review

    10. 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 contributions › Journal articles › Research › peer-review

    11. ℓp-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 contributions › Journal articles › Research › peer-review

    12. 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/works › Article in conference proceedings › Research › peer-review

    13. 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/works › Article in conference proceedings › Research › peer-review

    14. 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, 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/works › Article in conference proceedings › Research › peer-review

    15. 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/works › Article in conference proceedings › Research › peer-review

    16. 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 contributions › Journal articles › Research › peer-review

    17. 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, 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/works › Article in conference proceedings › Research › peer-review

    18. Published

      Active learning for network intrusion detection

      Görnitz, N., Kloft, M., Rieck, K. & Brefeld, U., 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/works › Article in conference proceedings › Research › peer-review

    19. 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, 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/works › Article in conference proceedings › Research › peer-review

    20. 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, 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/works › Article in conference proceedings › Research › peer-review

    Previous 1 2 3 4 5 Next