- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j6 |      | N. Goernitz, Marius Kloft, Konrad Rieck, Ulf Brefeld: Toward Supervised Anomaly Detection. J. Artif. Intell. Res. (JAIR) 46: 235-262 (2013) |
| 2012 | ||
| c23 | | Peter Haider, Luca Chiarandini, Ulf Brefeld: Discriminative clustering for market segmentation. KDD 2012: 417-425 |
| 2011 | ||
| j5 | | Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien: lp-Norm Multiple Kernel Learning. Journal of Machine Learning Research 12: 953-997 (2011) |
| c22 | | Giorgos Giannopoulos, Ulf Brefeld, Theodore Dalamagas, Timos K. Sellis: Learning to rank user intent. CIKM 2011: 195-200 |
| c21 | | Giuseppe Amodeo, Roi Blanco, Ulf Brefeld: Hybrid models for future event prediction. CIKM 2011: 1981-1984 |
| c20 | | Eraldo R. Fernandes, Ulf Brefeld: Learning from Partially Annotated Sequences. ECML/PKDD (1) 2011: 407-422 |
| c19 | | Ulf Brefeld, Berkant Barla Cambazoglu, Flavio Paiva Junqueira: Document assignment in multi-site search engines. WSDM 2011: 575-584 |
| i2 | | Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe: Insights from Classifying Visual Concepts with Multiple Kernel Learning. CoRR abs/1112.3697 (2011) |
| 2010 | ||
| j4 | | Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller: Approximate Tree Kernels. Journal of Machine Learning Research 11: 555-580 (2010) |
| j3 | | Ulf Brefeld, Lise Getoor, Sofus A. Macskassy: Eighth workshop on mining and learning with graphs. SIGKDD Explorations 12(2): 63-65 (2010) |
| i1 | | Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien: Non-Sparse Regularization and Efficient Training with Multiple Kernels. CoRR abs/1003.0079 (2010) |
| 2009 | ||
| c18 | | Alexander Binder, Motoaki Kawanabe, Ulf Brefeld: Efficient Classification of Images with Taxonomies. ACCV (3) 2009: 351-362 |
| c17 | | Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld: Active learning for network intrusion detection. AISec 2009: 47-54 |
| c16 | | Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien: Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS 2009: 997-1005 |
| c15 | | Nico Görnitz, Marius Kloft, Ulf Brefeld: Active and Semi-supervised Data Domain Description. ECML/PKDD (1) 2009: 407-422 |
| c14 | | Marius Kloft, Shinichi Nakajima, Ulf Brefeld: Feature Selection for Density Level-Sets. ECML/PKDD (1) 2009: 692-704 |
| 2008 | ||
| b1 | | Ulf Brefeld: Semi-supervised structured prediction models. Humboldt University of Berlin 2008, pp. 1-168 |
| c13 | | Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov: Automatic feature selection for anomaly detection. AISec 2008: 71-76 |
| c12 | | Thoralf Klein, Ulf Brefeld, Tobias Scheffer: Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) 2008: 611-623 |
| 2007 | ||
| c11 | | Peter Haider, Ulf Brefeld, Tobias Scheffer: Supervised clustering of streaming data for email batch detection. ICML 2007: 345-352 |
| c10 | | Alexander Zien, Ulf Brefeld, Tobias Scheffer: Transductive support vector machines for structured variables. ICML 2007: 1183-1190 |
| c9 | | Ulf Brefeld, Thoralf Klein, Tobias Scheffer: Support Vector Machines for Collective Inference. MLG 2007 |
| 2006 | ||
| c8 | | Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel: Efficient co-regularised least squares regression. ICML 2006: 137-144 |
| c7 | | Ulf Brefeld, Tobias Scheffer: Semi-supervised learning for structured output variables. ICML 2006: 145-152 |
| 2005 | ||
| j2 | | Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser, Tobias Scheffer: Systematic feature evaluation for gene name recognition. BMC Bioinformatics 6(S-1) (2005) |
| c6 | | Ulf Brefeld, Christoph Büscher, Tobias Scheffer: Multi-view Discriminative Sequential Learning. ECML 2005: 60-71 |
| c5 |  | Ulf Brefeld, Christoph Büscher, Tobias Scheffer: Multi-View Hidden Markov Perceptrons. LWA 2005: 134-138 |
| 2004 | ||
| j1 | | Peter Geibel, Ulf Brefeld, Fritz Wysotzki: Perceptron and SVM learning with generalized cost models. Intell. Data Anal. 8(5): 439-455 (2004) |
| c4 | | |
| c3 | | |
| e1 | | Andreas Abecker, Steffen Bickel, Ulf Brefeld, Isabel Drost, Nicola Henze, Olaf Herden, Mirjam Minor, Tobias Scheffer, Ljiljana Stojanovic, Stephan Weibelzahl (Eds.): LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4. - 6. Oktober 2004, Workshopwoche der GI-Fachgruppen/Arbeitskreise (1) Fachgruppe Adaptivität und Benutzermodellierung in Interaktiven Softwaresystemen (ABIS 2004), (2) Arbeitskreis Knowledge Discovery (AKKD 2004), (3) Fachgruppe Maschinelles Lernen (FGML 2004), (4) Fachgruppe Wissens- und Erfahrungsmanagement (FGWM 2004). Humbold-Universität Berlin 2004 |
| 2003 | ||
| c2 | | Ulf Brefeld, Peter Geibel, Fritz Wysotzki: Support Vector Machines with Example Dependent Costs. ECML 2003: 23-34 |
| c1 | | Peter Geibel, Ulf Brefeld, Fritz Wysotzki: Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. IDA 2003: 167-178 |
Colors in the list of coauthors
Last update Mon May 20 14:09:25 2013 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page