Sören Sonnenburg

	2009
18		Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch: The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709
17		Gabriele Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch: mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research 37(Web-Server-Issue): 312-316 (2009)
	2008
16		Vojtech Franc, Sören Sonnenburg: Optimized cutting plane algorithm for support vector machines. ICML 2008: 320-327
15		Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch: POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB 2008: 6-14
	2007
14		Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch: Accurate splice site prediction using support vector machines. BMC Bioinformatics 8(S-10): (2007)
	2006
13		Sören Sonnenburg, Alexander Zien, Gunnar Rätsch: ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) 2006: 472-480
12		Gunnar Rätsch, Sören Sonnenburg: Large Scale Hidden Semi-Markov SVMs. NIPS 2006: 1161-1168
11		Konrad Rieck, Pavel Laskov, Sören Sonnenburg: Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS 2006: 1177-1184
10		Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics 7(S-1): (2006)
9		Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research 7: 1531-1565 (2006)
	2005
8		Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf: Large scale genomic sequence SVM classifiers. ICML 2005: 848-855
7		Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf: RASE: recognition of alternatively spliced exons in C.elegans. ISMB (Supplement of Bioinformatics) 2005: 369-377
6		Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: A General and Efficient Multiple Kernel Learning Algorithm. NIPS 2005
5		Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. RECOMB 2005: 389-407
4		Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich: Classifying 'Drug-likeness' with Kernel-Based Learning Methods. Journal of Chemical Information and Modeling 45(2): 249-253 (2005)
	2002
3		Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller: New Methods for Splice Site Recognition. ICANN 2002: 329-336
2		Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel from Probabilistic Models. Neural Computation 14(10): 2397-2414 (2002)
	2001
1		Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984

Coauthor Index

1	Jonas Behr	[14] [17]
2	Vojtech Franc	[16]
3	Michael Grimm	[4]
4	Nikolaus Heinrich	[4]
5	Arun K. Jagota	[3]
6	Motoaki Kawanabe	[1] [2]
7	Nicole Krämer	[18]
8	Pavel Laskov	[11]
9	Sebastian Mika	[4]
10	Klaus-Robert Müller	[1] [2] [3] [4]
11	Cheng Soon Ong	[17]
12	Petra Philips	[14] [15]
13	Gunnar Rätsch	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [13] [14] [15] [17] [18]
14	Konrad Rieck	[11]
15	Christin Schäfer	[5] [6] [9] [10]
16	Bernhard Schölkopf	[7] [8] [9]
17	Gabriele Schweikert	[14] [17]
18	Koji Tsuda	[1] [2]
19	Georg Zeller	[17]
20	Alexander Zien	[13] [15] [17] [18]