Items in division
- TU Darmstadt (106581)
- 20 Department of Computer Science (16029)
- Knowledge Mining and Assessment (49)
- 20 Department of Computer Science (16029)
Tavakol, Maryam (2019)
Contextual Models for Sequential Recommendation.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
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
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
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
eds.: Brefeld, U. ; Getoor, L. ; Macskassy, S. A. (2010)
MLG 2010: Proceedings of the Eighth Workshop on Mining and Learning with Graphs.
Book, 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
eds.: Brefeld, U. ; Piskorski, J. ; Yangarber, R. (2009)
MINUCS-2009 : Proceedings of the UCMedia Workshop on Mining User Generated Content for Security.
Book, 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
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
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
eds.: Brefeld, U. ; Joachims, T. ; Taskar, B. ; Xing, E. P. (2006)
Proceedings of the ICML Workshop on Learning in Structured Output Spaces.
Book, 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
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
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