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Ulf Brefeld

Prof. Dr.

Ulf Brefeld

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Prof. Dr. Ulf Brefeld

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    1. 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

    2. 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

    3. 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

    4. 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

    5. 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

    6. 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

    7. 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

    8. 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

    9. 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

    10. 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

    11. 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

    12. 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

    13. 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

    14. 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

    15. 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

    16. 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

    17. 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

    18. 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

    19. 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

    20. 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

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