Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
- Chapter › Research › Peer-reviewed
- 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
- Chapter › Research › Not peer-reviewed
- 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
- Conference article in journal › Research › Peer-reviewed
- 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
- 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
- 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
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
- Conference abstract in journal › Research › Peer-reviewed
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
- Other (editorial matter etc.) › Research
- 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
- Journal articles › Research › Peer-reviewed
- 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
- 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
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
- 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
- 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
- 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
- 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
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
- 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
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
- 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
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
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
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
- 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
- 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
- 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
- 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
- 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
- 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
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
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
- 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
- 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
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
- 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
- Journal articles › Research › Not peer-reviewed
- 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
- Other › Research
- 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
- Contributions to collected editions/anthologies › Research › Peer-reviewed
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
- 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
- Contributions to collected editions/anthologies › Research › Not peer-reviewed
- 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
- 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. 2Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research
- Article in conference proceedings › Research › Peer-reviewed
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
- 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
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
- 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
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
- 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
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
- 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
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
- 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