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ORCIDSteffen Bickel
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- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
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2010 – 2019
- 2018
[c17]Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul:
Chargrid: Towards Understanding 2D Documents. EMNLP 2018: 4459-4469- [i1]Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul:
Chargrid: Towards Understanding 2D Documents. CoRR abs/1809.08799 (2018) - 2013
- [j7]Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr:
Active evaluation of ranking functions based on graded relevance. Mach. Learn. 92(1): 41-64 (2013) - [c16]Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr:
Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). IJCAI 2013: 3072-3076 - 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
- [j6]Jasmina Bogojeska
, Steffen Bickel, André Altmann, Thomas Lengauer:
Dealing with sparse data in predicting outcomes of HIV combination therapies. Bioinform. 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 - [j5]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. Inf. Media Technol. 4(2): 529-546 (2009) - [j4]Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen Bickel, Masashi Sugiyama:
Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation. J. Inf. Process. 17: 138-155 (2009) - [j3]Steffen Bickel, Michael Brückner, Tobias Scheffer:
Discriminative Learning Under Covariate Shift. J. Mach. Learn. Res. 10: 2137-2155 (2009) - [r1]Steffen Bickel:
Mining Email Data. Encyclopedia of Data Warehousing and Mining 2009: 1262-1267 - 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 Bioinform. 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 Explor. 7(2): 117-122 (2005) - [c7]Steffen Bickel, Tobias Scheffer:
Estimation of Mixture Models Using Co-EM. ECML 2005: 35-46 - [c6]Steffen Bickel, Peter Haider, Tobias Scheffer:
Learning to Complete Sentences. ECML 2005: 497-504 - [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: 193-200 - 2004
- [c3]Steffen Bickel, Tobias Scheffer:
Learning from Message Pairs for Automatic Email Answering. ECML 2004: 87-98 - [c2]Steffen Bickel, Tobias Scheffer:
Multi-View Clustering. ICDM 2004: 19-26 - [c1]Ulf Brefeld, Steffen Bickel, Tobias Scheffer:
Multi-View Lernen. LWA 2004: 131 - [e1]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 [contents]
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