Soeren Sonnenburg

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	All	Since 2016
Citations	6675	2160
h-index	32	20
i10-index	39	31

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Gunnar RätschProfessor, ETH ZürichVerified email at inf.ethz.ch
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
Marius KloftTU KaiserslauternVerified email at cs.uni-kl.de
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Christin Schäferacs plus GmbHVerified email at acs-plus.de
Jonas BehrComputational Biology Group, ETH ZurichVerified email at sophiagenetics.com
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
Vojtech FrancCzech Technical UniversityVerified email at cmp.felk.cvut.cz
Gabriele SchweikertPI, University of Dundee, UK and Universität Tübingen, GermanyVerified email at dundee.ac.uk
Pavel LaskovUniversity of LiechtensteinVerified email at uni.li
Georg ZellerEMBL, HeidelbergVerified email at embl.de
Leon BottouFacebook AI ResearchVerified email at bottou.org
Christian WidmerGoogleVerified email at google.com
Mikio L. BraunTU Berlin (allumni)Verified email at getyourguide.de
Asa Ben-HurComputer Science, Colorado State UniversityVerified email at cs.colostate.edu
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 RieckProfessor of Computer Science, TU BraunschweigVerified email at tu-bs.de
Alexander BinderAssociate Professor, University of Oslo (UiO)Verified email at ifi.uio.no

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	1642	2006
Support vector machines and kernels for computational biology A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch PLoS Comput Biol 4 (10), e1000173, 2008	617	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	393	2011
SGD-QN: Careful quasi-Newton stochastic gradient descent A Bordes, L Bottou, P Gallinari Journal of Machine Learning Research 10, 1737-1754, 2009	361	2009
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	347	2010
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	318	2009
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	225	2007
A general and efficient multiple kernel learning algorithm S Sonnenburg, G Rätsch, C Schäfer Advances in neural information processing systems 18, 1273-1280, 2005	211	2005
The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...	210	2007
A new discriminative kernel from probabilistic models K Tsuda, M Kawanabe, G Rätsch, S Sonnenburg, KR Müller Neural computation 14 (10), 2397-2414, 2002	199	2002
Optimized cutting plane algorithm for support vector machines V Franc, S Sonnenburg Proceedings of the 25th international conference on Machine learning, 320-327, 2008	176	2008
RASE: recognition of alternatively spliced exons in C.elegans G Rätsch, S Sonnenburg, B Schölkopf Bioinformatics 21 (suppl_1), i369-i377, 2005	166	2005
ARTS: accurate recognition of transcription starts in human S Sonnenburg, A Zien, G Rätsch Bioinformatics 22 (14), e472-e480, 2006	161	2006
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
13 Accurate Splice Site Detection for Caenorhabditis elegans G Rätsch, S Sonnenburg Kernel methods in computational biology, 277, 2004	110	2004
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	107	2009
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	101	2005
Improving the Caenorhabditis elegans genome annotation using machine learning G Rätsch, S Sonnenburg, J Srinivasan, H Witte, KR Müller, RJ Sommer, ... PLoS Comput Biol 3 (2), e20, 2007	97	2007
COFFIN: A Computational Framework for Linear SVMs. S Sonnenburg, V Franc ICML, 999-1006, 2010	92	2010
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. V Franc, S Sonnenburg Journal of Machine Learning Research 10 (10), 2009	91	2009

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