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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. Article in conference proceedings › Research › Peer-reviewed

    2. 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

    3. 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

    4. 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

    5. 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

    6. Contributions to collected editions/anthologies › Research › Not peer-reviewed
    7. Published

      Data-driven analyses of electronic text books

      Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W. & Brefeld, U., 2016, Solving large scale learning tasks: Challenges and algorithms : essays dedicated to Katharina Morik on the occasion of her 60th birthday. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Cham: Springer International Publishing AG, p. 362-376 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9580).

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

    8. 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

    9. Contributions to collected editions/anthologies › Research › Peer-reviewed

    10. 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

    11. 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

    12. Other › Research
    13. Published

      Foreword to applied data science, demo, and nectar tracks

      Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F., 01.01.2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Brefeld, U., Curry, E., Daly, E., Macnamee, B., Marascu, A. & Pinelli, F. (eds.). Cham: Springer, Vol. 3. p. V-VI 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053).

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

    14. Journal articles › Research › Not peer-reviewed
    15. 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

    16. Journal articles › Research › Peer-reviewed
    17. Published

      Action rate models for predicting actions in soccer

      Dick, U. & Brefeld, U., 02.03.2022, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 29-49 21 p.

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

    18. Published

      Adaptive Item Selection Under Matroid Constraints

      Bengs, D., Brefeld, U. & Kröhne, U., 07.08.2018, In: Journal of Computerized Adaptive Testing. 6, 2, p. 15-36 22 p.

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

    19. Approximate tree kernels

      Rieck, K., Krueger, T., Brefeld, U. & Müller, K. R., 02.2010, In: Journal of Machine Learning Research. 11, p. 555-580 26 p.

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

    20. Published

      Contextual movement models based on normalizing flows

      Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 03.2023, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 51-72 22 p.

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

    21. Published

      Data practices in apps from Brazil: What do privacy policies inform us about?

      Quadros dos Reis, V., Rabello, M. E. R., Lima, A. C., Jardim, G. P. S., Fernandes, E. R. & Brefeld, U., 10.02.2023, In: Journal on Interactive Systems. 14, 1, p. 1-8 8 p.

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

    22. Published

      Distributed robust Gaussian Process regression

      Mair, S. & Brefeld, U., 01.05.2018, In: Knowledge and Information Systems. 55, 2, p. 415-435 21 p.

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

    23. Published

      Evaluating one-shot tournament predictions

      Ekstrom, C. T., Van Eetvelde, H., Ley, C. & Brefeld, U., 05.04.2021, In: Journal of Sports Analytics. 7, 1, p. 37-46 10 p.

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

    24. 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

    25. Published

      Joint optimization of an autoencoder for clustering and embedding

      Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.

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

    26. Learning linear classifiers sensitive to example dependent and noisy costs

      Geibel, P., Brefeld, U. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2810, p. 167-178 12 p.

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

    27. Published

      Learning to Rate Player Positioning in Soccer

      Dick, U. & Brefeld, U., 01.03.2019, In: Big Data. 7, 1, p. 71-82 12 p.

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

    28. 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

    29. 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

    30. 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

    31. 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

    32. 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

    33. 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

    34. 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

    35. 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

    36. 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

    37. 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

    38. 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

    39. 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

    40. 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

    41. 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

    42. 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

    43. Other (editorial matter etc.) › Research
    44. Published

      Guest editorial: Special issue on sports analytics

      Brefeld, U. & Zimmermann, A., 01.11.2017, In: Data Mining and Knowledge Discovery. 31, 6, p. 1577-1579 3 p.

      Research output: Journal contributions › Other (editorial matter etc.) › Research

    45. Conference abstract in journal › Research › Peer-reviewed

    46. Eighth Workshop on Mining and Learning with Graphs

      Brefeld, U., Getoor, L. & Macskassy, S. A., 2010, In: ACM SIGKDD Explorations. 12, 2, p. 63-65 3 p.

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

    47. Conference article in journal › Research › Peer-reviewed
    48. Published

      Feature Extraction and Aggregation for Predicting the Euro 2016

      Tavakol, M., Zafartavanaelmi, H. & Brefeld, U., 09.2016, In: CEUR Workshop Proceedings. 1842, 1842, 7 p.

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

    49. Published

      Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?

      Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.

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

    50. 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

    51. 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

    52. Chapter › Research › Not peer-reviewed
    53. Published

      Convolutional Neural Networks

      Rudolph, Y. & Brefeld, U., 01.01.2023, Sportinformatik: Modellbildung, Simulation, Datenanalyse und Visualisierung von sportbezogenen Daten. Memmert, D. (ed.). Berlin: Springer Spektrum, p. 207-215 9 p.

      Research output: Contributions to collected editions/works › Chapter

    54. Chapter › Research › Peer-reviewed
    55. Published

      Analysing Positional Data

      Brefeld, U., Mair, S. & Lasek, J., 01.10.2020, Science Meets Sports: When Statistics Are More Than Numbers. Ley, C. & Dominicy, Y. (eds.). Newcastle upon Tyne: Cambridge Scholars Publishing, p. 81-94 13 p. (Physical Sciences).

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

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