Ulf Brefeld

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Marius KloftRPTU Kaiserslautern-LandauVerified email at cs.uni-kl.de
Soeren SonnenburgMachine Learning ResearcherVerified email at tomtom.com
Klaus-Robert MüllerTU Berlin & Korea University & Google Deepmind & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Nico GoernitzCTO @ MorphAIs | former PostDoc @ TU-BerlinVerified email at tu-berlin.de
Konrad RieckTechnische Universität BerlinVerified email at tu-berlin.de
Maryam TavakolEindhoven University of TechnologyVerified email at tue.nl
Pavel LaskovUniversity of LiechtensteinVerified email at uni.li
Alexander BinderAssociate Professor, Singapore Institute of Technology (SIT)Verified email at singaporetech.edu.sg
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
Eraldo R. FernandesSoundHoundVerified email at soundhound.com
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 NasirAssistant Professor, School of Computer Science, University of Galway, IrelandVerified email at universityofgalway.ie
Luca ChiarandiniGoogle IncVerified email at google.com
Patrick DuesselViacomCBSVerified email at riskbeam.io

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	449	2011
Toward supervised anomaly detection N Görnitz, M Kloft, K Rieck, U Brefeld Journal of Artificial Intelligence Research 46, 235-262, 2013	442	2013
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	347	2009
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	231	2006
Co-EM support vector learning U Brefeld, T Scheffer Proceedings of the twenty-first international conference on Machine learning, 16, 2004	226	2004
AUC maximizing support vector learning U Brefeld, T Scheffer Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005	187	2005
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	153	2010
Support vector machines with example dependent costs U Brefeld, P Geibel, F Wysotzki Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003	104	2003
Semi-supervised learning for structured output variables U Brefeld, T Scheffer Proceedings of the 23rd international conference on Machine learning, 145-152, 2006	99	2006
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	93	2009
Factored MDPs for detecting topics of user sessions M Tavakol, U Brefeld Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014	80	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	71	2008
Multi-view discriminative sequential learning U Brefeld, C Büscher, T Scheffer Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005	70	2005
Spatio-temporal convolution kernels K Knauf, D Memmert, U Brefeld Machine learning 102, 247-273, 2016	54	2016
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	54	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	50	2005
Probabilistic movement models and zones of control U Brefeld, J Lasek, S Mair Machine Learning 108 (1), 127-147, 2019	49	2019
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
Learning to rate player positioning in soccer U Dick, U Brefeld Big data 7 (1), 71-82, 2019	48	2019
Learning from partially annotated sequences ER Fernandes, U Brefeld Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	46	2011

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