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Steffen Bickel
2010 – today
- 2013
[j6]Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr: Active evaluation of ranking functions based on graded relevance. Machine Learning 92(1): 41-64 (2013)- 2012
- [c15]Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr: Active Evaluation of Ranking Functions Based on Graded Relevance. ECML/PKDD (2) 2012: 676-691
- 2010
- [j5]Jasmina Bogojeska, Steffen Bickel, André Altmann, Thomas Lengauer: Dealing with sparse data in predicting outcomes of HIV combination therapies. Bioinformatics 26(17): 2085-2092 (2010)
- [c14]Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer: Active Risk Estimation. ICML 2010: 951-958
2000 – 2009
- 2009
- [b1]Steffen Bickel: Learning under differing training and test distributions. University of Potsdam 2009, pp. 1-98
- [j4]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama: Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. JIP 17: 138-155 (2009)
- [j3]Steffen Bickel, Michael Brückner, Tobias Scheffer: Discriminative Learning Under Covariate Shift. Journal of Machine Learning Research 10: 2137-2155 (2009)
- [r1]
- 2008
- [c13]Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer: Multi-task learning for HIV therapy screening. ICML 2008: 56-63
- [c12]Steffen Bickel, Christoph Sawade, Tobias Scheffer: Transfer Learning by Distribution Matching for Targeted Advertising. NIPS 2008: 145-152
- [c11]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama: Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. SDM 2008: 443-454
- 2007
- [c10]Steffen Bickel, Michael Brückner, Tobias Scheffer: Discriminative learning for differing training and test distributions. ICML 2007: 81-88
- [c9]Laura Dietz, Steffen Bickel, Tobias Scheffer: Unsupervised prediction of citation influences. ICML 2007: 233-240
- 2006
- [c8]Steffen Bickel, Tobias Scheffer: Dirichlet-Enhanced Spam Filtering based on Biased Samples. NIPS 2006: 161-168
- 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)
- [j1]David S. Vogel, Steffen Bickel, Peter Haider, Rolf Schimpfky, Peter Siemen, Steve Bridges, Tobias Scheffer: Classifying search engine queries using the web as background knowledge. SIGKDD Explorations 7(2): 117-122 (2005)
- [c7]
- [c6]
- [c5]Isabel Drost, Steffen Bickel, Tobias Scheffer: Discovering Communities in Linked Data by Multi-view Clustering. GfKl 2005: 342-349
- [c4]Steffen Bickel, Peter Haider, Tobias Scheffer: Predicting Sentences using N-Gram Language Models. HLT/EMNLP 2005
- 2004
- [c3]Steffen Bickel, Tobias Scheffer: Learning from Message Pairs for Automatic Email Answering. ECML 2004: 87-98
- [c2]
- [c1]
- [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
Coauthor Index
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last updated on 2013-06-13 23:26 CEST by the dblp team