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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. 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

    2. lp-Norm Multiple Kernel Learning

      Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 2011, In: Journal of Machine Learning Research. 2011, 12, p. 953-997 45 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    3. 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

    4. 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

    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 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

    7. 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

    8. 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

    9. 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

    10. Published

      Masked Autoencoder Pretraining for Event Classification in Elite Soccer

      Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).

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

    11. Published

      MDP-based itinerary recommendation using geo-tagged social media

      Gaonkar, R., Tavakol, M. & Brefeld, U., 25.10.2018, Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings. Duivesteijn, W., Siebes, A. & Ukkonen, A. (eds.). Basel: Springer Nature AG, p. 111-123 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); no. 11191).

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

    12. Mining positional data streams

      Haase, J. & Brefeld, U., 2015, New Frontiers in Mining Complex Patterns. Springer, p. 102-116 15 p.

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

    13. Published

      Modeling Conditional Dependencies in Multiagent Trajectories

      Rudolph, Y. & Brefeld, U., 2022, In: Proceedings of Machine Learning Research. 151, p. 10518-10533 16 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    14. Multi-view discriminative sequential learning

      Brefeld, U., Büscher, C. & Scheffer, T., 01.01.2005, Machine Learning: ECML 2005: 16th European Conference on Machine Learning. Springer, p. 60-71 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3720 LNAI).

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

    15. Multi-view hidden markov perceptrons

      Brefeld, U., Büscher, C. & Scheffer, T., 2005, Lernen, Wissensentdeckung und Adaptivitat, LWA 2005. Bauer, M., Brandherm, B., Fürnkranz, J., Grieser, G., Hotho, A., Jedlitschka, A. & Kröner, A. (eds.). Saarbrücken: Gesellschaft für Informatik e.V., p. 134-138 5 p.

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

    16. Multi-view learning with dependent views

      Brefeld, U., 13.04.2015, 2015 Symposium on Applied Computing, SAC 2015: Proceedings of the 30th Annual ACM Symposium on Applied Computing. Shin, D. (ed.). Association for Computing Machinery, Inc, p. 865-870 6 p. (Proceedings of the ACM Symposium on Applied Computing; vol. 13-17-April-2015).

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

    17. Perceptron and SVM learning with generalized cost models

      Geibel, P., Brefeld, U. & Wysotzki, F., 2004, In: Intelligent Data Analysis. 8, 5, p. 439-455 17 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    18. Published

      Personalized Transaction Kernels for Recommendation Using MCTS

      Tavakol, M., Joppen, T., Brefeld, U. & Fürnkranz, J., 01.09.2019, KI 2019: Advances in Artificial Intelligence - 42nd German Conference on AI, Proceedings. Benzmüller, C. & Stuckenschmidt, H. (eds.). Wiesbaden: Springer, p. 338-352 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11793 LNAI).

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

    19. Published

      Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring

      Pandarova, I., Schmidt, T., Hartig, J., Boubekki, A., Jones, R. D. & Brefeld, U., 15.08.2019, In: International Journal of Artificial Intelligence in Education. 29, 3, p. 342-367 26 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    20. Published

      Predicting the future performance of soccer players

      Arndt, C. & Brefeld, U., 01.10.2016, In: Statistical Analysis and Data Mining. 9, 5, p. 373-382 10 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    21. Published

      Principled Interpolation in Normalizing Flows

      Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 09.2021, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II. Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J. & Lozano, J. A. (eds.). Cham: Springer Nature AG, p. 116-131 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12976 LNAI).

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

    22. Published

      Probabilistic movement models and zones of control

      Brefeld, U., Lasek, J. & Mair, S., 15.01.2019, In: Machine Learning. 108, 1, p. 127-147 21 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    23. Published

      Propagating Maximum Capacities for Recommendation

      Boubekki, A., Brefeld, U., Lucchesi, C. L. & Stille, W., 2017, KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017 : proceedings. Cham, Schweiz: Springer, p. 72-84 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10505 LNAI).

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

    24. Published

      Rating Player Actions in Soccer

      Dick, U., Tavakol, M. & Brefeld, U., 15.07.2021, In: Frontiers in Sports and Active Living. 3, 14 p., 682986.

      Research output: Journal contributions › Journal articles › Research › peer-review

    25. Published

      Reformstudie Belgien: eine Effektstudie zur Einführung von kompetenzorientiertem Rahmenplan und mBook

      Schreiber, W., Trautwein, U., Wagner, W. & Brefeld, U., 01.02.2019, Geschichtsdidaktischer Zwischenhalt: Beiträge aus der Tagung "Kompetent machen für ein Leben in, mit und durch Geschichte" in Eichstätt vom November 2017. Schreiber, W., Ziegler, B. & Kühberger, C. (eds.). 1. ed. Münster: Waxmann Verlag, p. 161-174 14 p. 2

      Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research

    26. Published

      Semi-Supervised Generative Models for Multi-Agent Trajectories

      Brefeld, U., Fassmeyer, D. & Fassmeyer, P., 2022, Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Red Hook: Curran Associates, Vol. 48. p. 37267-37281 15 p. (Advances in Neural Information Processing Systems; vol. 35).

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

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

    28. Published

      Simultaneous Constrained Adaptive Item Selection for Group-Based Testing

      Bengs, D., Kroehne, U. & Brefeld, U., 01.06.2021, In: Journal of Educational Measurement. 58, 2, p. 236-261 26 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    29. Published

      Space and Control in Soccer

      Martens, F., Dick, U. & Brefeld, U., 16.07.2021, In: Frontiers in Sports and Active Living . 3, 13 p., 676179.

      Research output: Journal contributions › Journal articles › Research

    30. Published

      Spatio-Temporal Convolution Kernels

      Knauf, K., Memmert, D. & Brefeld, U., 01.02.2016, In: Machine Learning. 102, 2, p. 247-273 27 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    31. 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

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

    33. Support vector machines with example dependent costs

      Brefeld, U., Geibel, P. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2837, p. 23-34 12 p.

      Research output: Journal contributions › Conference article in journal › Research › peer-review

    34. Systematic feature evaluation for gene name recognition

      Hakenberg, J., Bickel, S., Plake, C., Brefeld, U., Zahn, H., Faulstich, L., Leser, U. & Scheffer, T., 24.05.2005, In: BMC Bioinformatics. 6, SUPPL.1, 11 p., S9.

      Research output: Journal contributions › Journal articles › Research › peer-review

    35. Published

      The origins of goals in the German Bundesliga

      Anzer, G., Bauer, P. & Brefeld, U., 17.11.2021, In: Journal of Sports Sciences. 39, 22, p. 2525-2544 20 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    36. Published

      Toward Automatically Labeling Situations in Soccer

      Fassmeyer, D., Anzer, G., Bauer, P. & Brefeld, U., 03.11.2021, In: Frontiers in Sports and Active Living. 3, 15 p., 725431.

      Research output: Journal contributions › Journal articles › Research › peer-review

    37. Toward Data-Driven Analyses of Electronic Text Books

      Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2015, Proceedings of the 8th International Conference on Educational Data Mining. Santos, O. C., Boticario, J. G., Romero, C., Pechenizkiy, M., Merceron, A., Mitros, P., Luna, J. M., Mihaescu, C., Moreno, P., Hershkovitz, A., Ventura, S. & Desmarais, M. (eds.). Madrid: National University for Distance Education (UNED), p. 592-593 2 p.

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

    38. 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

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

    40. Published

      Uma Caracterização das Polı́ticas de Privacidade Utilizadas em Aplicativos no Brasil

      Jardim, G. P. S., Rabello, M. E. R., Lima, A. C., Brefeld, U. & Quadros dos Reis, V., 05.08.2022, Anais do III Workshop sobre as Implicações da Computação na Sociedade (WICS). Sociedade Brasileira de Computação (SBC), p. 13-25 13 p. (WORKSHOP SOBRE AS IMPLICAÇÕES DA COMPUTAÇÃO NA SOCIEDADE (WICS); no. 3/2022).

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

    41. 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

    42. Published

      Using Wikipedia for Cross-Language Named Entity Recognition

      Fernandes, E. R., Brefeld, U., Blanco, R. & Atserias, J., 2016, Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Atzmüller, M., Chin, A., Janssen, F., Schweizer, I. & Trattner, C. (eds.). Springer International Publishing AG, p. 1-25 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9546).

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

    43. Published

      Who can receive the pass? A computational model for quantifying availability in soccer

      Dick, U., Link, D. & Brefeld, U., 01.05.2022, In: Data Mining and Knowledge Discovery. 36, 3, p. 987-1014 28 p.

      Research output: Journal contributions › Journal articles › Research › peer-review

    44. Published

      Zur empirischen Beforschung des mBooks Belgien: Die Chancen eines Methodenmix

      Schreiber, W., Wagner, W., Trautwein, U. & Brefeld, U., 10.2019, Das Geschichtsschulbuch: Lehren – Lernen – Forschen . Kühberger, C., Bernhard, R. & Bramann, C. (eds.). Münster: Waxmann Verlag, p. 57-80 24 p. (Salzburger Beiträge zur Lehrer/innen/bildung; vol. 6).

      Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

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