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Ulf Brefeld
Ulf Brefeld
Verified email at leuphana.de - Homepage
Title
Cited by
Cited by
Year
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
5212013
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
4732011
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
3592009
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
2392006
Co-EM support vector learning
U Brefeld, T Scheffer
Proceedings of the twenty-first international conference on Machine learning, 16, 2004
2302004
AUC maximizing support vector learning
U Brefeld, T Scheffer
Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005
1932005
Non-sparse multiple kernel learning
M Kloft, U Brefeld, P Laskov, S Sonnenburg
NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels 4, 5, 2008
1342008
Support vector machines with example dependent costs
U Brefeld, P Geibel, F Wysotzki
Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003
1062003
Semi-supervised learning for structured output variables
U Brefeld, T Scheffer
Proceedings of the 23rd international conference on Machine learning, 145-152, 2006
1032006
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
982009
Factored MDPs for detecting topics of user sessions
M Tavakol, U Brefeld
Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014
872014
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
732008
Multi-view discriminative sequential learning
U Brefeld, C Büscher, T Scheffer
Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005
732005
Spatio-temporal convolution kernels
K Knauf, D Memmert, U Brefeld
Machine learning 102, 247-273, 2016
622016
Hybrid models for future event prediction
G Amodeo, R Blanco, U Brefeld
Proceedings of the 20th ACM international conference on Information and …, 2011
612011
Learning to rate player positioning in soccer
U Dick, U Brefeld
Big data 7 (1), 71-82, 2019
602019
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
Probabilistic movement models and zones of control
U Brefeld, J Lasek, S Mair
Machine Learning 108 (1), 127-147, 2019
532019
Predicting the difficulty of exercise items for dynamic difficulty adaptation in adaptive language tutoring
I Pandarova, T Schmidt, J Hartig, A Boubekki, RD Jones, U Brefeld
International Journal of Artificial Intelligence in Education 29, 342-367, 2019
522019
Systematic feature evaluation for gene name recognition
J Hakenberg, S Bickel, C Plake, U Brefeld, H Zahn, L Faulstich, U Leser, ...
BMC bioinformatics 6, 1-11, 2005
512005
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