Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. - Alexander Zien; Gunnar Rätsch; Sebastian Mika; Bernhard Schölkopf; Christian Lemmen; Alexander J. Smola; Thomas Lengauer; Klaus-Robert Müller (German Conference on Bioinformatics, 1999)

Application of Parameter Optimization to Molecular Comparison Problems. - Christian Lemmen; Alexander Zien; Ralf Zimmer; Thomas Lengauer (Pacific Symposium on Biocomputing, 1999)

Analysis of Gene Expression Data with Pathway Scores. - Alexander Zien; Robert Küffner; Ralf Zimmer; Thomas Lengauer (ISMB, 2000)

Engineering support vector machine kernels that recognize translation initiation sites. - Alexander Zien; Gunnar Rätsch; Sebastian Mika; Bernhard Schölkopf; Thomas Lengauer; Klaus-Robert Müller (Bioinform., 2000)

A Simple Iterative Approach to Parameter Optimization. - Alexander Zien; Ralf Zimmer; Thomas Lengauer (J. Comput. Biol., 2000)

Confidence Measures for Fold Recognition. - Ingolf Sommer; Niklas von Öhsen; Alexander Zien; Ralf Zimmer; Thomas Lengauer (German Conference on Bioinformatics, 2001)

Centralization: a new method for the normalization of gene expression data. - Alexander Zien; Thomas Aigner; Ralf Zimmer; Thomas Lengauer (ISMB (Supplement of Bioinformatics), 2001)

Co-clustering of biological networks and gene expression data. - Daniel Hanisch; Alexander Zien; Ralf Zimmer; Thomas Lengauer (ISMB, 2002)

Confidence measures for protein fold recognition. - Ingolf Sommer; Alexander Zien; Niklas von Öhsen; Ralf Zimmer; Thomas Lengauer (Bioinform., 2002)

Prediction on Spike Data Using Kernel Algorithms. - Jan Eichhorn; Andreas S. Tolias; Alexander Zien; Malte Kuss; Carl Edward Rasmussen; Jason Weston; Nikos K. Logothetis; Bernhard Schölkopf (NIPS, 2003)

Microarrays: How Many Do You Need? - Alexander Zien; Juliane Fluck; Ralf Zimmer; Thomas Lengauer (J. Comput. Biol., 2003)

Learning to Find Graph Pre-images. - Gökhan H. Bakir; Alexander Zien; Koji Tsuda (DAGM-Symposium, 2004)

Semi-Supervised Classification by Low Density Separation. - Olivier Chapelle; Alexander Zien (AISTATS, 2005)

Large margin non-linear embedding. - Alexander Zien; Joaquin Quiñonero Candela (ICML, 2005)

Introduction to Semi-Supervised Learning. - Olivier Chapelle; Bernhard Schölkopf; Alexander Zien (Semi-Supervised Learning, 2006)

Analysis of Benchmarks. - Olivier Chapelle; Bernhard Schölkopf; Alexander Zien (Semi-Supervised Learning, 2006)

A Discussion of Semi-Supervised Learning and Transduction. - Olivier Chapelle; Bernhard Schölkopf; Alexander Zien (Semi-Supervised Learning, 2006)

A continuation method for semi-supervised SVMs. - Olivier Chapelle; Mingmin Chi; Alexander Zien (ICML, 2006)

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

Transductive support vector machines for structured variables. - Alexander Zien; Ulf Brefeld; Tobias Scheffer (ICML, 2007)

Multiclass multiple kernel learning. - Alexander Zien; Cheng Soon Ong (ICML, 2007)

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

An Automated Combination of Kernels for Predicting Protein Subcellular Localization. - Cheng Soon Ong; Alexander Zien (WABI, 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)

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)

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)

Support Vector Machines as Probabilistic Models. - Vojtech Franc; Alexander Zien; Bernhard Schölkopf (ICML, 2011)

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

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

Information on adverse drug reactions - Proof of principle for a structured database that allows customization of drug information. - Marcel K. P. Kusch; Alexander Zien; Christian Hachenberg; Walter E. Haefeli; Hanna M. Seidling (Int. J. Medical Informatics, 2020)