Ulf Brefeld

2008
15	EE	Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov: Automatic feature selection for anomaly detection. AISec 2008: 71-76
14	EE	Thoralf Klein, Ulf Brefeld, Tobias Scheffer: Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) 2008: 611-623
2007
13	EE	Alexander Zien, Ulf Brefeld, Tobias Scheffer: Transductive support vector machines for structured variables. ICML 2007: 1183-1190
12	EE	Peter Haider, Ulf Brefeld, Tobias Scheffer: Supervised clustering of streaming data for email batch detection. ICML 2007: 345-352
11	EE	Ulf Brefeld, Thoralf Klein, Tobias Scheffer: Support Vector Machines for Collective Inference. MLG 2007
2006
10	EE	Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel: Efficient co-regularised least squares regression. ICML 2006: 137-144
9	EE	Ulf Brefeld, Tobias Scheffer: Semi-supervised learning for structured output variables. ICML 2006: 145-152
2005
8	EE	Ulf Brefeld, Christoph Büscher, Tobias Scheffer: Multi-view Discriminative Sequential Learning. ECML 2005: 60-71
7		Ulf Brefeld, Christoph Büscher, Tobias Scheffer: Multi-View Hidden Markov Perceptrons. LWA 2005: 134-138
2004
6		Andreas Abecker, Steffen Bickel, Ulf Brefeld, Isabel Drost, Nicola Henze, Olaf Herden, Mirjam Minor, Tobias Scheffer, Ljiljana Stojanovic, Stephan Weibelzahl: 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
5	EE	Ulf Brefeld, Tobias Scheffer: Co-EM support vector learning. ICML 2004
4		Ulf Brefeld, Steffen Bickel, Tobias Scheffer: Multi-View Lernen. LWA 2004: 131
3	EE	Peter Geibel, Ulf Brefeld, Fritz Wysotzki: Perceptron and SVM learning with generalized cost models. Intell. Data Anal. 8(5): 439-455 (2004)
2003
2	EE	Ulf Brefeld, Peter Geibel, Fritz Wysotzki: Support Vector Machines with Example Dependent Costs. ECML 2003: 23-34
1	EE	Peter Geibel, Ulf Brefeld, Fritz Wysotzki: Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. IDA 2003: 167-178

Coauthor Index

1	Andreas Abecker	[6]
2	Steffen Bickel	[4] [6]
3	Christoph Büscher	[7] [8]
4	Isabel Drost	[6]
5	Patrick Düssel	[15]
6	Thomas Gärtner	[10]
7	Christian Gehl	[15]
8	Peter Geibel	[1] [2] [3]
9	Peter Haider	[12]
10	Nicola Henze	[6]
11	Olaf Herden	[6]
12	Thoralf Klein	[11] [14]
13	Marius Kloft	[15]
14	Pavel Laskov	[15]
15	Mirjam Minor	[6]
16	Tobias Scheffer	[4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]
17	Ljiljana Stojanovic	[6]
18	Stephan Weibelzahl	[6]
19	Stefan Wrobel	[10]
20	Fritz Wysotzki	[1] [2] [3]
21	Alexander Zien	[13]

Colors in the list of coauthors