Soeren Sonnenburg

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Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Marius KloftTU KaiserslauternVerified email at cs.uni-kl.de
Christin Schäferacs plus GmbHVerified email at acs-plus.de
Jonas BehrSOPHiA GENETICS, St.-Sulpice, SwitzerlandVerified email at sophiagenetics.com
Vojtech FrancCzech Technical UniversityVerified email at cmp.felk.cvut.cz
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
Gabriele SchweikertPI, University of Dundee, UK and Universität Tübingen, GermanyVerified email at dundee.ac.uk
Georg ZellerEMBL, HeidelbergVerified email at embl.de
Asa Ben-HurComputer Science, Colorado State UniversityVerified email at cs.colostate.edu
Pavel LaskovUniversity of LiechtensteinVerified email at uni.li
Mikio L. BraunTU Berlin (allumni)Verified email at getyourguide.de
Christian WidmerGoogleVerified email at google.com
Jagan SrinivasanDept. of Biology and Biotechnology, Worcester Polytechnic InstituteVerified email at wpi.edu
Ralf SommerDirector, Max-Planck Institute for Developmental BiologyVerified email at tuebingen.mpg.de
Konrad RieckTechnische Universität BerlinVerified email at tu-berlin.de
Alexander BinderAssociate Professor, Singapore Institute of Technology (SIT) and University of Oslo (UiO)Verified email at singaporetech.edu.sg
Sebastian MikaVerified email at sebastianmika.info

Soeren Sonnenburg

Machine Learning Researcher

Verified email at tomtom.com - Homepage

Machine Learning Computational Biology Traffic


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Large scale multiple kernel learning S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf The Journal of Machine Learning Research 7, 1531-1565, 2006	1688	2006
Support vector machines and kernels for computational biology A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch PLoS computational biology 4 (10), e1000173, 2008	734	2008
l_p-Norm Multiple Kernel Learning M Kloft, U Brefeld, S Sonnenburg, A Zien The Journal of Machine Learning Research 12, 953-997, 2011	444	2011
The SHOGUN machine learning toolbox S Sonnenburg, G Rätsch, S Henschel, C Widmer, J Behr, A Zien, F Bona, ... The Journal of Machine Learning Research 11, 1799-1802, 2010	366	2010
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	346	2009
The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...	254	2007
Accurate splice site prediction using support vector machines S Sonnenburg, G Schweikert, P Philips, J Behr, G Rätsch BMC bioinformatics 8 (10), 1-16, 2007	232	2007
A general and efficient multiple kernel learning algorithm S Sonnenburg, G Rätsch, C Schäfer Advances in neural information processing systems 18, 2005	222	2005
A new discriminative kernel from probabilistic models K Tsuda, M Kawanabe, G Rätsch, S Sonnenburg, KR Müller Advances in Neural Information Processing Systems 14, 2001	208	2001
Optimized cutting plane algorithm for support vector machines V Franc, S Sonnenburg Proceedings of the 25th international conference on Machine learning, 320-327, 2008	184	2008
RASE: recognition of alternatively spliced exons in C.elegans G Rätsch, S Sonnenburg, B Schölkopf Bioinformatics 21 (suppl_1), i369-i377, 2005	173	2005
ARTS: accurate recognition of transcription starts in human S Sonnenburg, A Zien, G Rätsch Bioinformatics 22 (14), e472-e480, 2006	165	2006
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	152	2010
The feature importance ranking measure A Zien, N Krämer, S Sonnenburg, G Rätsch arXiv preprint arXiv:0906.4258, 2009	120	2009
13 Accurate Splice Site Detection for Caenorhabditis elegans G Rätsch, S Sonnenburg Kernel methods in computational biology, 277, 2004	120	2004
Classifying ‘drug-likeness' with kernel-based learning methods KR Müller, G Rätsch, S Sonnenburg, S Mika, M Grimm, N Heinrich Journal of chemical information and modeling 45 (2), 249-253, 2005	115	2005
mGene: accurate SVM-based gene finding with an application to nematode genomes G Schweikert, A Zien, G Zeller, J Behr, C Dieterich, CS Ong, P Philips, ... Genome research 19 (11), 2133-2143, 2009	113	2009
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning G Rätsch, S Sonnenburg, J Srinivasan, H Witte, KR Müller, RJ Sommer, ... PLoS Computational Biology 3 (2), e20, 2007	111	2007
New methods for splice site recognition S Sonnenburg, G Rätsch, A Jagota, KR Müller Artificial Neural Networks—ICANN 2002: International Conference Madrid …, 2002	95	2002
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. V Franc, S Sonnenburg Journal of Machine Learning Research 10 (10), 2009	94	2009

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