Ulf Brefeld

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	All	Since 2016
Citations	2885	1262
h-index	24	17
i10-index	42	30

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2005200620072008200920102011201220132014201520162017201820192020202133 32 46 68 103 157 184 243 233 215 256 232 238 225 291 269 6

Co-authors

Marius KloftTU KaiserslauternVerified email at cs.uni-kl.de
Soeren SonnenburgMachine Learning ResearcherVerified email at tomtom.com
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Nico Goernitzformer PostDoc @ Berlin Institute of Technology | now: 123ai.deVerified email at tu-berlin.de
Konrad RieckProfessor of Computer Science, TU BraunschweigVerified email at tu-bs.de
Pavel LaskovUniversity of LiechtensteinVerified email at uni.li
Maryam TavakolEindhoven University of TechnologyVerified email at tue.nl
Alexander BinderAssociate Professor, University of Oslo (UiO)Verified email at ifi.uio.no
Shinichi NakajimaMachine Learning Group, Technische Universität BerlinVerified email at tu-berlin.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Steffen BickelNokia Gate5 GmbHVerified email at cs.uni-potsdam.de
Jörg HakenbergIllumina, Inc.Verified email at illumina.com
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Roi BlancoAmazonVerified email at udc.es
Tammo KruegerTU BerlinVerified email at tu-berlin.de
Jamal Abdul NasirPostdoc Fellow, Insight Centre for Data Analytics, NUIG, IrelandVerified email at insight-centre.org
Eraldo R. FernandesFACOM/UFMSVerified email at facom.ufms.br
Luca ChiarandiniGoogle IncVerified email at google.com
Giuseppe AmodeoFondazione Ugo BordoniVerified email at fub.it

Ulf Brefeld

Leuphana Universität Lüneburg

Verified email at leuphana.de - Homepage

Machine Learning


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l_p-Norm Multiple Kernel Learning M Kloft, U Brefeld, S Sonnenburg, A Zien The Journal of Machine Learning Research 12, 953-997, 2011	388	2011
Efficient and accurate lp-norm multiple kernel learning. M Kloft, U Brefeld, S Sonnenburg, P Laskov, KR Müller, A Zien NIPS 22 (22), 997-1005, 2009	316	2009
Toward supervised anomaly detection N Görnitz, M Kloft, K Rieck, U Brefeld Journal of Artificial Intelligence Research 46, 235-262, 2013	230	2013
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	207	2006
Co-EM support vector learning U Brefeld, T Scheffer Proceedings of the twenty-first international conference on Machine learning, 16, 2004	206	2004
AUC maximizing support vector learning U Brefeld, T Scheffer Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005	170	2005
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	116	2008
Semi-supervised learning for structured output variables U Brefeld, T Scheffer Proceedings of the 23rd international conference on Machine learning, 145-152, 2006	93	2006
Support vector machines with example dependent costs U Brefeld, P Geibel, F Wysotzki European Conference on Machine Learning, 23-34, 2003	86	2003
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	69	2009
Multi-view discriminative sequential learning U Brefeld, C Büscher, T Scheffer European Conference on Machine Learning, 60-71, 2005	68	2005
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	60	2008
Factored MDPs for detecting topics of user sessions M Tavakol, U Brefeld Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014	56	2014
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	52	2007
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	48	2005
Hybrid models for future event prediction G Amodeo, R Blanco, U Brefeld Proceedings of the 20th ACM international conference on Information and …, 2011	47	2011
Active and semi-supervised data domain description N Görnitz, M Kloft, U Brefeld Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009	39	2009
Supervised clustering of streaming data for email batch detection P Haider, U Brefeld, T Scheffer Proceedings of the 24th international conference on Machine learning, 345-352, 2007	36	2007
Learning from partially annotated sequences ER Fernandes, U Brefeld Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011	34	2011
Spatio-temporal convolution kernels K Knauf, D Memmert, U Brefeld Machine learning 102 (2), 247-273, 2016	33	2016

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