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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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