Ulf Brefeld

	2009
19		Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld: Active learning for network intrusion detection. AISec 2009: 47-54
18		Nico Görnitz, Marius Kloft, Ulf Brefeld: Active and Semi-supervised Data Domain Description. ECML/PKDD (1) 2009: 407-422
17		Marius Kloft, Shinichi Nakajima, Ulf Brefeld: Feature Selection for Density Level-Sets. ECML/PKDD (1) 2009: 692-704
	2008
16		Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov: Automatic feature selection for anomaly detection. AISec 2008: 71-76
15		Thoralf Klein, Ulf Brefeld, Tobias Scheffer: Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) 2008: 611-623
	2007
14		Alexander Zien, Ulf Brefeld, Tobias Scheffer: Transductive support vector machines for structured variables. ICML 2007: 1183-1190
13		Peter Haider, Ulf Brefeld, Tobias Scheffer: Supervised clustering of streaming data for email batch detection. ICML 2007: 345-352
12		Ulf Brefeld, Thoralf Klein, Tobias Scheffer: Support Vector Machines for Collective Inference. MLG 2007
	2006
11		Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel: Efficient co-regularised least squares regression. ICML 2006: 137-144
10		Ulf Brefeld, Tobias Scheffer: Semi-supervised learning for structured output variables. ICML 2006: 145-152
	2005
9		Ulf Brefeld, Christoph Büscher, Tobias Scheffer: Multi-view Discriminative Sequential Learning. ECML 2005: 60-71
8		Ulf Brefeld, Christoph Büscher, Tobias Scheffer: Multi-View Hidden Markov Perceptrons. LWA 2005: 134-138
7		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)
	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		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		Peter Geibel, Ulf Brefeld, Fritz Wysotzki: Perceptron and SVM learning with generalized cost models. Intell. Data Anal. 8(5): 439-455 (2004)
	2003
2		Ulf Brefeld, Peter Geibel, Fritz Wysotzki: Support Vector Machines with Example Dependent Costs. ECML 2003: 23-34
1		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] [7]
3	Christoph Büscher	[8] [9]
4	Isabel Drost	[6]
5	Patrick Düssel	[16]
6	Lukas Faulstich	[7]
7	Thomas Gärtner	[11]
8	Christian Gehl	[16]
9	Peter Geibel	[1] [2] [3]
10	Nico Görnitz	[18] [19]
11	Peter Haider	[13]
12	Jörg Hakenberg	[7]
13	Nicola Henze	[6]
14	Olaf Herden	[6]
15	Thoralf Klein	[12] [15]
16	Marius Kloft	[16] [17] [18] [19]
17	Pavel Laskov	[16]
18	Ulf Leser	[7]
19	Mirjam Minor	[6]
20	Shinichi Nakajima	[17]
21	Conrad Plake	[7]
22	Konrad Rieck	[19]
23	Tobias Scheffer	[4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15]
24	Ljiljana Stojanovic	[6]
25	Stephan Weibelzahl	[6]
26	Stefan Wrobel	[11]
27	Fritz Wysotzki	[1] [2] [3]
28	Hagen Zahn	[7]
29	Alexander Zien	[14]

Colors in the list of coauthors