Steffen Bickel

Affiliations:
  • Max Planck Institute for Informatics, Saarbrücken, Germany


According to our database1, Steffen Bickel authored at least 23 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2018
Chargrid: Towards Understanding 2D Documents.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2013
Active evaluation of ranking functions based on graded relevance.
Mach. Learn., 2013

Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract).
Proceedings of the IJCAI 2013, 2013

2010
Dealing with sparse data in predicting outcomes of HIV combination therapies.
Bioinform., 2010

Active Risk Estimation.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Mining Email Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Learning under differing training and test distributions.
PhD thesis, 2009

Discriminative Learning Under Covariate Shift.
J. Mach. Learn. Res., 2009

Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.
J. Inf. Process., 2009

2008
Transfer Learning by Distribution Matching for Targeted Advertising.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Multi-task learning for HIV therapy screening.
Proceedings of the Machine Learning, 2008

2007
Unsupervised prediction of citation influences.
Proceedings of the Machine Learning, 2007

Discriminative learning for differing training and test distributions.
Proceedings of the Machine Learning, 2007

2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Classifying search engine queries using the web as background knowledge.
SIGKDD Explor., 2005

Systematic feature evaluation for gene name recognition.
BMC Bioinform., 2005

Predicting Sentences using N-Gram Language Models.
Proceedings of the HLT/EMNLP 2005, 2005

Discovering Communities in Linked Data by Multi-view Clustering.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Estimation of Mixture Models Using Co-EM.
Proceedings of the Machine Learning: ECML 2005, 2005

Learning to Complete Sentences.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Multi-View Lernen.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Multi-View Clustering.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Learning from Message Pairs for Automatic Email Answering.
Proceedings of the Machine Learning: ECML 2004, 2004


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