New Methods for Splice Site Recognition. - Sören Sonnenburg; Gunnar Rätsch; Arun K. Jagota; Klaus-Robert Müller (ICANN, 2002)

A New Discriminative Kernel from Probabilistic Models. - Koji Tsuda; Motoaki Kawanabe; Gunnar Rätsch; Sören Sonnenburg; Klaus-Robert Müller (Neural Comput., 2002)

Large scale genomic sequence SVM classifiers. - Sören Sonnenburg; Gunnar Rätsch; Bernhard Schölkopf (ICML, 2005)

RASE: recognition of alternatively spliced exons in C.elegans. - Gunnar Rätsch; Sören Sonnenburg; Bernhard Schölkopf (ISMB (Supplement of Bioinformatics), 2005)

A General and Efficient Multiple Kernel Learning Algorithm. - Sören Sonnenburg; Gunnar Rätsch; Christin Schäfer (NIPS, 2005)

Classifying 'Drug-likeness' with Kernel-Based Learning Methods. - Klaus-Robert Müller; Gunnar Rätsch; Sören Sonnenburg; Sebastian Mika; Michael Grimm; Nikolaus Heinrich (J. Chem. Inf. Model., 2005)

ARTS: accurate recognition of transcription starts in human. - Sören Sonnenburg; Alexander Zien; Gunnar Rätsch (ISMB (Supplement of Bioinformatics), 2006)

Large Scale Hidden Semi-Markov SVMs. - Gunnar Rätsch; Sören Sonnenburg (NIPS, 2006)

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. - Konrad Rieck; Pavel Laskov; Sören Sonnenburg (NIPS, 2006)

Learning Interpretable SVMs for Biological Sequence Classification. - Gunnar Rätsch; Sören Sonnenburg; Christin Schäfer (BMC Bioinform., 2006)

Large Scale Multiple Kernel Learning. - Sören Sonnenburg; Gunnar Rätsch; Christin Schäfer; Bernhard Schölkopf (J. Mach. Learn. Res., 2006)

Accurate splice site prediction using support vector machines. - Sören Sonnenburg; Gabriele Beate Schweikert; Petra Philips; Jonas Behr; Gunnar Rätsch (BMC Bioinform., 2007)

The Need for Open Source Software in Machine Learning. - Sören Sonnenburg; Mikio L. Braun; Cheng Soon Ong; Samy Bengio; Léon Bottou; Geoffrey Holmes 001; Yann LeCun; Klaus-Robert Müller; Fernando Pereira 003; Carl Edward Rasmussen; Gunnar Rätsch; Bernhard Schölkopf; et al. (J. Mach. Learn. Res., 2007)

Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning. - Gunnar Rätsch; Sören Sonnenburg; Jagan Srinivasan; Hanh Witte; Klaus-Robert Müller; Ralf J. Sommer; Bernhard Schölkopf (PLoS Comput. Biol., 2007)

Maschinelles Lernen zur Genom-Sequenzanalyse [Machine Learning for Genomic Sequence Analysis]. - Sören Sonnenburg (Ausgezeichnete Informatikdissertationen, 2008)

Optimized cutting plane algorithm for support vector machines. - Vojtech Franc; Sören Sonnenburg (ICML, 2008)

POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. - Sören Sonnenburg; Alexander Zien; Petra Philips; Gunnar Rätsch (ISMB, 2008)

Support Vector Machines and Kernels for Computational Biology. - Asa Ben-Hur; Cheng Soon Ong; Sören Sonnenburg; Bernhard Schölkopf; Gunnar Rätsch (PLoS Comput. Biol., 2008)

Machine learning for genomic sequence analysis. - Sören Sonnenburg (2008)

Efficient and Accurate Lp-Norm Multiple Kernel Learning. - Marius Kloft; Ulf Brefeld; Sören Sonnenburg; Pavel Laskov; Klaus-Robert Müller; Alexander Zien (NIPS, 2009)

The Feature Importance Ranking Measure. - Alexander Zien; Nicole Krämer 002; Sören Sonnenburg; Gunnar Rätsch (ECML/PKDD (2), 2009)

Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. - Vojtech Franc; Sören Sonnenburg (J. Mach. Learn. Res., 2009)

mGene.web: a web service for accurate computational gene finding. - Gabriele Beate Schweikert; Jonas Behr; Alexander Zien; Georg Zeller; Cheng Soon Ong; Sören Sonnenburg; Gunnar Rätsch (Nucleic Acids Res., 2009)

COFFIN: A Computational Framework for Linear SVMs. - Sören Sonnenburg; Vojtech Franc (ICML, 2010)

Non-Sparse Regularization and Efficient Training with Multiple Kernels - Marius Kloft; Ulf Brefeld; Sören Sonnenburg; Alexander Zien (CoRR, 2010)

The SHOGUN Machine Learning Toolbox. - Sören Sonnenburg; Gunnar Rätsch; Sebastian Henschel; Christian Widmer; Jonas Behr; Alexander Zien; Fabio De Bona; Alexander Binder; Christian Gehl; Vojtech Franc (J. Mach. Learn. Res., 2010)

A new scatter-based multi-class support vector machine. - Robert Jenssen; Marius Kloft; Sören Sonnenburg; Alexander Zien; Klaus-Robert Müller (MLSP, 2011)

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. - Nico Görnitz; Christian Widmer; Georg Zeller; André Kahles; Sören Sonnenburg; Gunnar Rätsch (NIPS, 2011)

lp-Norm Multiple Kernel Learning. - Marius Kloft; Ulf Brefeld; Sören Sonnenburg; Alexander Zien (J. Mach. Learn. Res., 2011)