Ulf Brefeld

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Marius KloftTU KaiserslauternVerified email at cs.uni-kl.de
Soeren SonnenburgMachine Learning ResearcherVerified email at tomtom.com
Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & MPIIVerified 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, Data Science Institute, INSIGHT, 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	401	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	324	2009
Toward supervised anomaly detection N Görnitz, M Kloft, K Rieck, U Brefeld Journal of Artificial Intelligence Research 46, 235-262, 2013	261	2013
Co-EM support vector learning U Brefeld, T Scheffer Proceedings of the twenty-first international conference on Machine learning, 16, 2004	214	2004
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	208	2006
AUC maximizing support vector learning U Brefeld, T Scheffer Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005	174	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	117	2008
Semi-supervised learning for structured output variables U Brefeld, T Scheffer Proceedings of the 23rd international conference on Machine learning, 145-152, 2006	94	2006
Support vector machines with example dependent costs U Brefeld, P Geibel, F Wysotzki European Conference on Machine Learning, 23-34, 2003	87	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	72	2009
Multi-view discriminative sequential learning U Brefeld, C Büscher, T Scheffer European Conference on Machine Learning, 60-71, 2005	69	2005
Factored MDPs for detecting topics of user sessions M Tavakol, U Brefeld Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014	63	2014
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	61	2008
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
Hybrid models for future event prediction G Amodeo, R Blanco, U Brefeld Proceedings of the 20th ACM international conference on Information and …, 2011	49	2011
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
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	37	2007
Spatio-temporal convolution kernels K Knauf, D Memmert, U Brefeld Machine learning 102 (2), 247-273, 2016	36	2016
Learning from partially annotated sequences ER Fernandes, U Brefeld Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011	35	2011

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