German

Binder, A. ; Nakajima, S. ; Kloft, M. ; Müller, C. ; Samek, W. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2012)
Insights from Classifying Visual Concepts with Multiple Kernel Learning.
In: PLoS ONE, 7(8):e38897
Article, Bibliographie

Görnitz, N. ; Kloft, M. ; Rieck, K. ; Brefeld, U. (2012)
Toward Supervised Anomaly Detection.
In: Journal of Artificial Intelligence Research, accepted
Article, Bibliographie

Haider, P. ; Chiarandini, L. ; Brefeld, U. (2012)
Discriminative Clustering for Market Segmentation.
Conference or Workshop Item, Bibliographie

Haider, P. ; Chiarandini, L. ; Brefeld, U. ; Jaimes, A. (2012)
Dynamic Contextual Models for User Interaction on the Web.
Conference or Workshop Item, Bibliographie

Binder, A. ; Nakajima, S. ; Kloft, M. ; Müller, C. ; Samek, W. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2011)
Insights from Classifying Visual Concepts with Multiple Kernel Learning.
Report, Bibliographie

Haider, P. ; Chiarandini, L. ; Brefeld, U. (2011)
Behavioral User Models for Yahoo! News.
Conference or Workshop Item, Bibliographie

Giannopoulos, G. ; Brefeld, U. ; Dalamagas, T. ; Sellis, T. (2011)
Learning to Rank User Intent.
Conference or Workshop Item, Bibliographie

Amodeo, G. ; Blanco, R. ; Brefeld, U. (2011)
Hybrid Models for Future Event Prediction.
Conference or Workshop Item, Bibliographie

Fernandes, E. R. ; Brefeld, U. (2011)
Learning from Partially Annotated Sequences.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Cambazoglu, B. B. ; Junqueira, F. P. (2011)
Document Assignment in Multi-Site Search Engines.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Getoor, L. ; Macskassy, S. A. (2010)
Eighth workshop on mining and learning with graphs.
In: SIGKDD Explorations, 12 (2)
Article, Bibliographie

Rieck, K. ; Krüger, T. ; Brefeld, U. ; Müller, K.-R. (2010)
Approximate Tree Kernels.
In: Journal of Machine Learning Research, 11
Article, Bibliographie

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Laskov, P. ; Müller, K.-R. ; Zien, A. (2010)
Efficient and Accurate $ell_p$-norm Multiple Kernel Learning.
Conference or Workshop Item, Bibliographie

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2010)
Non-Sparse Regularization and Efficient Training with Multiple Kernels.
Report, Bibliographie

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2009)
Comparing Sparse and Non-sparse Multiple Kernel Learning.
Conference or Workshop Item, Bibliographie

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. ; Laskov, P. ; Müller, K.-R. (2009)
Learning Non-Sparse Kernel Mixtures.
Conference or Workshop Item, Bibliographie

Binder, A. ; Kawanabe, M. ; Brefeld, U. (2009)
Efficient Classification of Images with Taxonomies.
Conference or Workshop Item, Bibliographie

Görnitz, N. ; Kloft, M. ; Brefeld, U. (2009)
Active and Semi-supervised Data Domain Description.
Conference or Workshop Item, Bibliographie

Kloft, M. ; Nakajima, S. ; Brefeld, U. (2009)
Feature Selection for Density Level-Sets.
Conference or Workshop Item, Bibliographie

Nakajima, S. ; Binder, A. ; Müller, C. ; Wojcikiewicz, W. ; Kloft, M. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2009)
Multiple Kernel Learning for Object Classification.
Conference or Workshop Item, Bibliographie

Görnitz, N. ; Kloft, M. ; Rieck, K. ; Brefeld, U. (2009)
Active Learning for Network Intrusion Detection.
Conference or Workshop Item, Bibliographie

Rieck, K. ; Brefeld, U. ; Krüger, T. (2008)
Approximate Kernels for Trees.
Report, Bibliographie

Klein, T. ; Brefeld, U. ; Scheffer, T. (2008)
Exact and approximate inference for annotating graphs with structural {SVMs}.
Conference or Workshop Item, Bibliographie

Kloft, M. ; Brefeld, U. ; Laskov, P. ; Sonnenburg, S. (2008)
Non-sparse multiple kernel learning.
Conference or Workshop Item, Bibliographie

Kloft, M. ; Brefeld, U. ; Düssel, P. ; Gehl, C. ; Laskov, P. (2008)
Automatic feature selection for anomaly detection.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Haider, P. ; Scheffer, T. (2007)
Supervised clustering for spam detection in data streams.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Klein, T. ; Scheffer, T. (2007)
Support vector machines for collective inference.
Conference or Workshop Item, Bibliographie

Zien, A. ; Brefeld, U. ; Scheffer, T. (2007)
Transductive support vector machines for structured variables.
Conference or Workshop Item, Bibliographie

Haider, P. ; Brefeld, U. ; Scheffer, T. (2007)
Supervised clustering of streaming data for email batch detection.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Scheffer, T. (2006)
Semi-supervised learning for structured output variables.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Gärtner, T. ; Scheffer, T. ; Wrobel, S. (2006)
Efficient co-regularised least squares regression.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Büscher, C. ; Scheffer, T. (2005)
Multi-view Hidden Markov Perceptrons.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Büscher, C. ; Scheffer, T. (2005)
Multi-view discriminative sequential learning.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Scheffer, T. (2005)
{AUC} maximizing support vector learning.
Conference or Workshop Item, Bibliographie

eds.: Abecker, A. ; Bickel, S. ; Brefeld, U. ; Drost, I. ; Henze, N. ; Herden, O. ; Minor, M. ; Scheffer, T. ; Stojanovic, L. ; Weibelzahl, S. (2004)
Proceedings of the Workshops on Learning, Knowledge Discovery, and Adaptivity (LWA).
Book, Bibliographie

Brefeld, U. ; Bickel, S. ; Scheffer, T. (2004)
Multi-View Lernen.
Conference or Workshop Item, Bibliographie

Geibel, P. ; Brefeld, U. ; Wysotzki, F. (2004)
Perceptron and {SVM} Learning with Generalized Cost Models.
In: Intelligent Data Analysis, 8 (5)
Article, Bibliographie

Brefeld, U. ; Scheffer, T. (2004)
Co-{EM} support vector learning.
Conference or Workshop Item, Bibliographie

Bickel, S. ; Brefeld, U. ; Faulstich, L. ; Hakenberg, J. ; Leser, U. ; Plake, C. ; Scheffer, T. (2004)
A Support Vector Machine Classifier for Gene Name Recognition.
Conference or Workshop Item, Bibliographie

Brefeld, U. ; Geibel, P. ; Wysotzki, F. (2003)
Support vector machines with example dependent costs.
Conference or Workshop Item, Bibliographie

Geibel, P. ; Brefeld, U. ; Wysotzki, F. (2003)
Learning linear classifiers sensitive to example dependent and noisy costs.
Conference or Workshop Item, Bibliographie

English

Tavakol, Maryam (2019)
Contextual Models for Sequential Recommendation.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2011)
lp-Norm Multiple Kernel Learning.
In: Journal of Machine Learning Research, 12
Article, Bibliographie

Rathke, F. ; Hansen, K. ; Brefeld, U. ; Müller, K.-R. (2011)
StructRank: A New Approach for Ligand-Based Virtual Screening.
In: Journal of Chemical Information Modeling, 51
Article, Bibliographie

eds.: Brefeld, U. ; Getoor, L. ; Macskassy, S. A. (2010)
MLG 2010: Proceedings of the Eighth Workshop on Mining and Learning with Graphs.
Book, Bibliographie

eds.: Brefeld, U. ; Piskorski, J. ; Yangarber, R. (2009)
MINUCS-2009 : Proceedings of the UCMedia Workshop on Mining User Generated Content for Security.
Book, Bibliographie

eds.: Blohm, S. ; Brefeld, U. ; Jungermann, F. ; Yangarber, R. (2008)
Proceedings of the ECML PKDD Workshop on High-level Information Extraction : 19. September 2008, Antwerp, Belgium.
Book, Bibliographie

eds.: Brefeld, U. ; Joachims, T. ; Taskar, B. ; Xing, E. P. (2006)
Proceedings of the ICML Workshop on Learning in Structured Output Spaces.
Book, Bibliographie

Hakenberg, J. ; Bickel, S. ; Plake, C. ; Brefeld, U. ; Zahn, H. ; Faulstich, L. ; Leser, U. ; Scheffer, T. (2005)
Systematic feature evaluation for gene name recognition.
In: BMC Bioinformatics, 6 (Suppl. 1)
doi: 10.1186/1471-2105-6-S1-S9
Article, Bibliographie