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Ulf Brefeld

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Ulf Brefeld

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Prof. Dr. Ulf Brefeld

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    1. Collected editions and anthologies › Research
    2. Published

      Machine Learning and Data Mining for Sports Analytics: 5th International Workshop, MLSA 2018, colocated with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings

      Brefeld, U. (ed.), Davis, J. (ed.), Van Haaren, J. (ed.) & Zimmermann, A. (ed.), 05.04.2019, Springer Nature AG. 179 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11330 LNAI)

      Research output: Books and anthologies › Collected editions and anthologies › Research

    3. Published

      Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings - Part III

      Brefeld, U. (ed.), Curry, E. (ed.), Daly, E. (ed.), MacNamee, B. (ed.), Marascu, A. (ed.), Pinelli, F. (ed.), Berlingerio, M. (ed.) & Hurley, N. (ed.), 2019, Cham: Springer. 706 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11054 LNAI)

      Research output: Books and anthologies › Collected editions and anthologies › Research

    4. Conference proceedings › Research
    5. Published

      Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings

      Brefeld, U. (ed.), Davis, J. (ed.), van Haaren, J. (ed.) & Zimmermann, A. (ed.), 2020, Cham: Springer International Publishing AG. 146 p. (Communications in Computer and Information Science; vol. 1324)

      Research output: Books and anthologies › Conference proceedings › Research

    6. Published

      Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I

      Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

      Research output: Books and anthologies › Conference proceedings › Research

    7. Published

      Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

      Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

      Research output: Books and anthologies › Conference proceedings › Research

    8. Published

      Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

      Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

      Research output: Books and anthologies › Conference proceedings › Research

    9. Article in conference proceedings › Research › Not peer-reviewed
    10. Published

      User Authentication via Multifaceted Mouse Movements and Outlier Exposure

      Matthiesen, J. J., Hastedt, H. & Brefeld, U., 01.04.2023, Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux, B., Hess, S. & Nijssen, S. (eds.). Cham: Springer Nature Switzerland AG, p. 300-313 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13876 LNCS).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research

    11. Article in conference proceedings › Research › Peer-reviewed

    12. 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

    13. 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

    14. 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

    15. Published

      Assessing User Behavior by Mouse Movements

      Matthiesen, J. J. & Brefeld, U., 2020, HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Stephanidis, C. & Antona, M. (eds.). Cham: Springer, p. 68-75 8 p. (Communications in Computer and Information Science; vol. 1224 CCIS).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    16. AUC Maximizing Support Vector Learning

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

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    17. Published

      A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations

      Tavakol, M. & Brefeld, U., 30.12.2017, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017 Skopje, Macedonia, September 18 – 22, 2017; Proceedings, Part II. Ceci, M., Hollmen, J., Todorovski, L., Vens, C. & Dzeroski, S. (eds.). Springer, Vol. 2. p. 269-284 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10535 LNAI).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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

    19. Published

      Co-EM Support Vector learning

      Brefeld, U. & Scheffer, T., 2004, Proceeding ICML '04 Proceedings of the twenty-first international conference on Machine learning. New York: Association for Computing Machinery, Inc, p. 121-128 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    20. 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

    21. Published

      Coresets for Archetypal Analysis

      Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    22. 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

    23. 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

    24. Efficient and accurate ℓ p-norm multiple kernel learning

      Kloft, M., Brefeld, U., Sonnenburg, S., Laskov, P., Müller, K. R. & Zien, A., 2009, Advances in Neural Information Processing Systems 22 : Proceedings of the 23rd Annual Conference on Neural Information Processing Systems 2009. Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C. & Culotta, A. (eds.). Neural Information Processing Systems, p. 997-1005 9 p. (Advances in Neural Information Processing Systems; vol. 22).

      Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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