Ulf Brefeld

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Marius KloftProfessor, RPTU Kaiserslautern-LandauVerified email at cs.uni-kl.de
Soeren SonnenburgMachine Learning ResearcherVerified email at tomtom.com
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Nico GoernitzFreelancer | CTO | ex-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 BinderChair Computer Vision, OvGU, Magdeburg, GermanyVerified email at ovgu.de
Shinichi NakajimaBIFOLD, 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
Roi BlancoAmazonVerified email at udc.es
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
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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Toward supervised anomaly detection N Görnitz, M Kloft, K Rieck, U Brefeld Journal of Artificial Intelligence Research 46, 235-262, 2013	532	2013
l_p-Norm Multiple Kernel Learning M Kloft, U Brefeld, S Sonnenburg, A Zien The Journal of Machine Learning Research 12, 953-997, 2011	475	2011
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	359	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	239	2006
Co-EM support vector learning U Brefeld, T Scheffer Proceedings of the twenty-first international conference on Machine learning, 16, 2004	230	2004
AUC maximizing support vector learning U Brefeld, T Scheffer Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005	198	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	135	2008
Proceedings of the 24th international conference on Machine learning R Salakhutdinov, A Mnih, G Hinton ACM, 2007	128*	2007
Support vector machines with example dependent costs U Brefeld, P Geibel, F Wysotzki Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003	108	2003
Semi-supervised learning for structured output variables U Brefeld, T Scheffer Proceedings of the 23rd international conference on Machine learning, 145-152, 2006	103	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	101	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	88	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	75	2008
Multi-view discriminative sequential learning U Brefeld, C Büscher, T Scheffer Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005	73	2005
Spatio-temporal convolution kernels K Knauf, D Memmert, U Brefeld Machine learning 102, 247-273, 2016	64	2016
Learning to rate player positioning in soccer U Dick, U Brefeld Big data 7 (1), 71-82, 2019	62	2019
Hybrid models for future event prediction G Amodeo, R Blanco, U Brefeld Proceedings of the 20th ACM international conference on Information and …, 2011	61	2011
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	57	2019
Probabilistic movement models and zones of control U Brefeld, J Lasek, S Mair Machine Learning 108 (1), 127-147, 2019	54	2019
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

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