Tobias Scheffer
Tobias Scheffer
Verified email at cs.uni-potsdam.de
Title
Cited by
Cited by
Year
Multi-view clustering.
S Bickel, T Scheffer
ICDM 4 (2004), 19-26, 2004
6922004
Active hidden markov models for information extraction
T Scheffer, C Decomain, S Wrobel
International Symposium on Intelligent Data Analysis, 309-318, 2001
3992001
Discriminative learning for differing training and test distributions
S Bickel, M Brückner, T Scheffer
Proceedings of the 24th international conference on Machine learning, 81-88, 2007
3832007
Unsupervised prediction of citation influences
L Dietz, S Bickel, T Scheffer
Proceedings of the 24th international conference on Machine learning, 233-240, 2007
3112007
Discriminative learning under covariate shift.
S Bickel, M Brückner, T Scheffer
Journal of Machine Learning Research 10 (9), 2009
2772009
Efficient co-regularised least squares regression
U Brefeld, T Gärtner, T Scheffer, S Wrobel
Proceedings of the 23rd international conference on Machine learning, 137-144, 2006
2032006
Co-EM support vector learning
U Brefeld, T Scheffer
Proceedings of the twenty-first international conference on Machine learning, 16, 2004
2032004
Finding association rules that trade support optimally against confidence
T Scheffer
European conference on principles of data mining and knowledge discovery …, 2001
1922001
Multi-task learning for HIV therapy screening
S Bickel, J Bogojeska, T Lengauer, T Scheffer
Proceedings of the 25th international conference on Machine learning, 56-63, 2008
1832008
Stackelberg games for adversarial prediction problems
M Brückner, T Scheffer
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
1762011
AUC maximizing support vector learning
U Brefeld, T Scheffer
Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005
1692005
Static prediction games for adversarial learning problems
M Brückner, C Kanzow, T Scheffer
The Journal of Machine Learning Research 13 (1), 2617-2654, 2012
1632012
Taxonomic metagenome sequence assignment with structured output models
KR Patil, P Haider, PB Pope, PJ Turnbaugh, M Morrison, T Scheffer, ...
Nature methods 8 (3), 191-192, 2011
1272011
Thwarting the nigritude ultramarine: Learning to identify link spam
I Drost, T Scheffer
European Conference on Machine Learning, 96-107, 2005
1102005
Dirichlet-enhanced spam filtering based on biased samples
S Bickel, T Scheffer
Advances in neural information processing systems, 161-168, 2007
1012007
Finding association rules that trade support optimally against confidence
T Scheffer
Intelligent Data Analysis 9 (4), 381-395, 2005
1012005
Semi-supervised learning for structured output variables
U Brefeld, T Scheffer
Proceedings of the 23rd international conference on Machine learning, 145-152, 2006
932006
Finding the most interesting patterns in a database quickly by using sequential sampling
T Scheffer, S Wrobel
Journal of Machine Learning Research 3 (Dec), 833-862, 2002
922002
Algebraic foundation and improved methods of induction of ripple down rules
T Scheffer
In, 1996
821996
Multi-relational learning, text mining, and semi-supervised learning for functional genomics
MA Krogel, T Scheffer
Machine Learning 57 (1-2), 61-81, 2004
762004
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