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Ulf Brefeld
Ulf Brefeld
Leuphana Universität Lüneburg
Zweryfikowany adres z leuphana.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
4572013
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
4512011
Efficient and accurate lp-norm multiple kernel learning
M Kloft, U Brefeld, P Laskov, KR Müller, A Zien, S Sonnenburg
Advances in neural information processing systems 22, 2009
3472009
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
2312006
Co-EM support vector learning
U Brefeld, T Scheffer
Proceedings of the twenty-first international conference on Machine learning, 16, 2004
2272004
AUC maximizing support vector learning
U Brefeld, T Scheffer
Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005
1882005
Non-sparse regularization and efficient training with multiple kernels
M Kloft, U Brefeld, S Sonnenburg, A Zien
arXiv preprint arXiv:1003.0079 186, 189-190, 2010
1532010
Support vector machines with example dependent costs
U Brefeld, P Geibel, F Wysotzki
Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003
1042003
Semi-supervised learning for structured output variables
U Brefeld, T Scheffer
Proceedings of the 23rd international conference on Machine learning, 145-152, 2006
992006
Active learning for network intrusion detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Proceedings of the 2nd ACM workshop on Security and artificial intelligence …, 2009
942009
Factored MDPs for detecting topics of user sessions
M Tavakol, U Brefeld
Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014
812014
Automatic feature selection for anomaly detection
M Kloft, U Brefeld, P Düessel, C Gehl, P Laskov
Proceedings of the 1st ACM workshop on Workshop on AISec, 71-76, 2008
712008
Multi-view discriminative sequential learning
U Brefeld, C Büscher, T Scheffer
Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005
702005
Spatio-temporal convolution kernels
K Knauf, D Memmert, U Brefeld
Machine learning 102, 247-273, 2016
572016
Transductive support vector machines for structured variables
A Zien, U Brefeld, T Scheffer
Proceedings of the 24th international conference on Machine learning, 1183-1190, 2007
542007
Learning to rate player positioning in soccer
U Dick, U Brefeld
Big data 7 (1), 71-82, 2019
502019
Systematic feature evaluation for gene name recognition
J Hakenberg, S Bickel, C Plake, U Brefeld, H Zahn, L Faulstich, U Leser, ...
BMC bioinformatics 6 (1), 1-11, 2005
502005
Probabilistic movement models and zones of control
U Brefeld, J Lasek, S Mair
Machine Learning 108 (1), 127-147, 2019
492019
Hybrid models for future event prediction
G Amodeo, R Blanco, U Brefeld
Proceedings of the 20th ACM international conference on Information and …, 2011
492011
Learning from partially annotated sequences
ER Fernandes, U Brefeld
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
462011
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