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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 - 98 out of 98Page size: 100
    1. 2025
    2. Published

      Interactive sequential generative models for team sports

      Fassmeyer, D., Cordes, M. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 15 p., 38.

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

    3. Published

      Masked autoencoder for multiagent trajectories

      Rudolph, Y. & Brefeld, U., 02.2025, In: Machine Learning. 114, 2, 18 p., 44.

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

    4. Published

      Toward Learning Distributions of Distributions

      Wohlstein, M. & Brefeld, U., 2025, In: Proceedings of Machine Learning Research. 265, p. 269-275 7 p.

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

    5. 2024
    6. Submitted

      Studying properties of water data using manifold-aware anomaly detectors

      Paulsen, T. & Brefeld, U., 23.04.2024, (Submitted) Design of Cyber-Secure Water Plants. Mathur, A., Zhou, J. & Raman, G. (eds.). MDPI AG, (Water).

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

    7. 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

    8. 2023
    9. Published

      Hands in Focus: Sign Language Recognition Via Top-Down Attention

      Sarhan, N., Wilms, C., Closius, V., Brefeld, U. & Frintrop, S., 08.10.2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings: Proceedings. Piscataway: IEEE Electromagnetic Compatibility Society, p. 2555-2559 5 p. (Proceedings - International Conference on Image Processing, ICIP).

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

    10. Published

      Exploring the Poincaré Ellipsis

      Fadel, S., Paulsen, T. & Brefeld, U., 09.2023, 20th Machine Learning on Graphs workshop.

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

    11. 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

    12. 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

    13. 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

    14. 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

    15. 2022
    16. 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

    17. 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

    18. 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

    19. 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

    20. 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

    21. 2021
    22. 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

    23. 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

    24. 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

    25. 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

    26. 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

    27. 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

    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

      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

    30. 2020
    31. 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

    32. 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

    33. 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

    34. 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

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

      Research output: Books and anthologies › Conference proceedings › Research

    36. Published

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

      Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 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

    37. Published

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

      Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 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

    38. Published

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

      Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 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

    39. 2019
    40. 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

    41. 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

    42. 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

    43. 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. (Editor), Davis, J. (Editor), Van Haaren, J. (Editor) & Zimmermann, A. (Editor), 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

    44. 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

    45. 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

    46. Published

      Frame-based Optimal Design

      Mair, S., Rudolph, Y., Closius, V. & Brefeld, U., 23.01.2019, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018 : proceedings. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham: Springer Nature AG, Vol. 2. p. 447-463 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

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

    47. 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

    48. 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

    49. Published

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

      Brefeld, U. (Editor), Curry , E. (Editor), Daly, E. (Editor), MacNamee, B. (Editor), Marascu, A. (Editor), Pinelli , F. (Editor), Berlingerio, M. (Editor) & Hurley, N. (Editor), 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

    50. 2018
    51. 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

    52. 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

    53. 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

    54. Published

      Infinite Mixtures of Markov Chains

      Reubold, J., Boubekki, A., Strufe, T. & Brefeld, U., 2018, New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP 2017 : held in conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017 : revised selected papers. Appice, A., Loglisci, C., Manco, G. & Masciari, E. (eds.). Cham: Springer, p. 167-181 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10785 LNAI).

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

    55. 2017
    56. 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

    57. 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

    58. Published

      Frame-based Data Factorizations

      Mair, S., Boubekki, A. & Brefeld, U., 25.07.2017, 34th International Conference on Machine Learning, ICML 2017. Precup, D. & Teh, Y. W. (eds.). Red Hook: Curran Associates, p. 2305-2313 9 p. (Proceedings of Machine Learning Research; vol. 70).

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

    59. 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

    60. 2016
    61. 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

    62. 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

    63. 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

    64. 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

    65. 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

    66. 2015

    67. 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

    68. Generalising IRT to Discriminate Between Examinees

      Boubekki, A., Brefeld, U. & Delacroix, T., 2015, Proceedings of the International Conference on Educational Data Mining. Santos, O. C., Boticario, J. G., Romeo, 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. 604-605 2 p.

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

    69. Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer

      Brandt, M. & Brefeld, U., 2015, Proceedings of the 2th Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2015. Davis, J. & Haaren, J. V. (eds.). Achen: Sun Site Central Europe (RWTH Aachen University), p. 10-17 8 p. (CEUR Workshop Proceedings; vol. 1970).

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

    70. 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

    71. 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

    72. 2014

    73. Factored MDPs for detecting topics of user sessions

      Tavakol, M. & Brefeld, U., 06.10.2014, RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, p. 33-40 8 p.

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

    74. 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

    75. 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

    76. 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

    77. Learning shortest paths in word graphs

      Tzouridis, E. & Brefeld, U., 2014, Knowledge Discovery, Data Mining and Machi- ne Learning (KDML-2013). Henrich, A. & Sperker, H.-C. (eds.). Bamberg: Lehrstuhl für Medieninformatik - Universität Bamberg, p. 113-116 4 p.

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

    78. 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

    79. 2013

    80. 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

    81. Finding Similar Movements in Positional Data Streams

      Haase, J. & Brefeld, U., 2013, Machine Learning and Data Mining for Sports Analytics - MLSA 2013: Proceedings. Jesse, D., Van Haaren, J. & Zimmermann, A. (eds.). Prag: Sun Site Central Europe (RWTH Aachen University), p. 49-57 9 p. (CEUR Workshop Proceedings; no. 1969).

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

    82. 2012

    83. 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

    84. 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

    85. 2011

    86. 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

    87. 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

    88. 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

    89. Hybrid models for future event prediction

      Amodeo, G., Blanco, R. & Brefeld, U., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management. Berendt, B., de Vries, A., Fan, W., Macdonald, C., Ounis, I. & Ruthven, I. (eds.). New York: Association for Computing Machinery, Inc, p. 1981-1984 4 p.

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

    90. Learning from partially annotated sequences

      Fernandes, E. R. & Brefeld, U., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). PART 1 ed. Heidelberg, Berlin: Springer, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

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

    91. Learning to rank user intent

      Giannopoulos, G., Brefeld, U., Dalamagas, T. & Sellis, T., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management . Association for Computing Machinery, Inc, p. 195-200 6 p.

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

    92. 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

    93. 2010

    94. 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

    95. Efficient Classification of Images with Taxonomies

      Binder, A., Kawanabe, M. & Brefeld, U., 2010, Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Berlin, Heidelberg: Springer, p. 351-362 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5996 LNCS, no. PART 3).

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

    96. 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

    97. 2009

    98. 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

    99. 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

    100. 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

    101. Published

      Feature selection for density level-sets

      Kloft, M., Nakajima, S. & Brefeld, U., 2009, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (eds.). Heidelberg: Springer, p. 692-704 13 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

    102. 2008

    103. 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

    104. Exact and approximate inference for annotating graphs with structural SVMs

      Klein, T., Brefeld, U. & Scheffer, T., 2008, Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008. Daelemans, W., Goethals, B. & Morik, K. (eds.). Berlin, Heidelberg: Springer, p. 611-623 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5211 LNAI, no. PART 1).

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

    105. 2007

    106. 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

    107. 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

    108. 2006

    109. Efficient co-regularised least squares regression

      Brefeld, U., Gärtner, T., Scheffer, T. & Wrobel, S., 01.01.2006, Proceedings of the 23rd international conference on Machine learning. Cohen, W. (ed.). Association for Computing Machinery, Inc, p. 137-144 8 p. (ACM International Conference Proceeding Series; vol. 148).

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

    110. 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

    111. 2005

    112. 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

    113. 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

    114. 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

    115. 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

    116. 2004
    117. 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

    118. 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

    119. 2003

    120. 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

    121. 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