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Alexander Zien
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- affiliation: Max Planck Institute for Informatics, Saarbücken, Germany
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2020 – today
- 2020
- [j8]Marcel K. P. Kusch, Alexander Zien, Christian Hachenberg, Walter E. Haefeli, Hanna M. Seidling:
Information on adverse drug reactions - Proof of principle for a structured database that allows customization of drug information. Int. J. Medical Informatics 133 (2020)
2010 – 2019
- 2011
- [j7]Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien:
lp-Norm Multiple Kernel Learning. J. Mach. Learn. Res. 12: 953-997 (2011) - [c22]Vojtech Franc, Alexander Zien, Bernhard Schölkopf:
Support Vector Machines as Probabilistic Models. ICML 2011: 665-672 - [c21]Robert Jenssen, Marius Kloft, Sören Sonnenburg, Alexander Zien, Klaus-Robert Müller:
A new scatter-based multi-class support vector machine. MLSP 2011: 1-6 - 2010
- [j6]Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc:
The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. 11: 1799-1802 (2010) - [i1]Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien:
Non-Sparse Regularization and Efficient Training with Multiple Kernels. CoRR abs/1003.0079 (2010)
2000 – 2009
- 2009
- [j5]Gabriele Beate 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 Res. 37(Web-Server-Issue): 312-316 (2009) - [c20]Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien:
Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS 2009: 997-1005 - [c19]Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch:
The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709 - 2008
- [c18]Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch:
POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB 2008: 6-14 - [c17]Cheng Soon Ong, Alexander Zien:
An Automated Combination of Kernels for Predicting Protein Subcellular Localization. WABI 2008: 186-197 - 2007
- [c16]Alexander Zien, Ulf Brefeld, Tobias Scheffer:
Transductive support vector machines for structured variables. ICML 2007: 1183-1190 - [c15]Alexander Zien, Cheng Soon Ong:
Multiclass multiple kernel learning. ICML 2007: 1191-1198 - 2006
- [c14]Olivier Chapelle, Mingmin Chi, Alexander Zien:
A continuation method for semi-supervised SVMs. ICML 2006: 185-192 - [c13]Sören Sonnenburg, Alexander Zien, Gunnar Rätsch:
ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) 2006: 472-480 - [p3]Olivier Chapelle, Bernhard Schölkopf, Alexander Zien:
Introduction to Semi-Supervised Learning. Semi-Supervised Learning 2006: 1-12 - [p2]Olivier Chapelle, Bernhard Schölkopf, Alexander Zien:
Analysis of Benchmarks. Semi-Supervised Learning 2006: 376-393 - [p1]Olivier Chapelle, Bernhard Schölkopf, Alexander Zien:
A Discussion of Semi-Supervised Learning and Transduction. Semi-Supervised Learning 2006: 473-478 - [e1]Olivier Chapelle, Bernhard Schölkopf, Alexander Zien:
Semi-Supervised Learning. The MIT Press 2006, ISBN 9780262033589 [contents] - 2005
- [c12]Olivier Chapelle, Alexander Zien:
Semi-Supervised Classification by Low Density Separation. AISTATS 2005: 57-64 - [c11]Alexander Zien, Joaquin Quiñonero Candela:
Large margin non-linear embedding. ICML 2005: 1060-1067 - 2004
- [c10]Gökhan H. Bakir, Alexander Zien, Koji Tsuda:
Learning to Find Graph Pre-images. DAGM-Symposium 2004: 253-261 - 2003
- [j4]Alexander Zien, Juliane Fluck, Ralf Zimmer, Thomas Lengauer:
Microarrays: How Many Do You Need? J. Comput. Biol. 10(3/4): 653-667 (2003) - [c9]Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos K. Logothetis, Bernhard Schölkopf:
Prediction on Spike Data Using Kernel Algorithms. NIPS 2003: 1367-1374 - 2002
- [j3]Ingolf Sommer, Alexander Zien, Niklas von Öhsen, Ralf Zimmer, Thomas Lengauer:
Confidence measures for protein fold recognition. Bioinform. 18(6): 802-812 (2002) - [c8]Daniel Hanisch, Alexander Zien, Ralf Zimmer, Thomas Lengauer:
Co-clustering of biological networks and gene expression data. ISMB 2002: 145-154 - [c7]Alexander Zien, Juliane Fluck, Ralf Zimmer, Thomas Lengauer:
Microarrays: how many do you need? RECOMB 2002: 321-330 - 2001
- [c6]Ingolf Sommer, Niklas von Öhsen, Alexander Zien, Ralf Zimmer, Thomas Lengauer:
Confidence Measures for Fold Recognition. German Conference on Bioinformatics 2001: 26-33 - [c5]Alexander Zien, Thomas Aigner, Ralf Zimmer, Thomas Lengauer:
Centralization: a new method for the normalization of gene expression data. ISMB (Supplement of Bioinformatics) 2001: 323-331 - 2000
- [j2]Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller:
Engineering support vector machine kernels that recognize translation initiation sites. Bioinform. 16(9): 799-807 (2000) - [j1]Alexander Zien, Ralf Zimmer, Thomas Lengauer:
A Simple Iterative Approach to Parameter Optimization. J. Comput. Biol. 7(3-4): 483-501 (2000) - [c4]Alexander Zien, Robert Küffner, Ralf Zimmer, Thomas Lengauer:
Analysis of Gene Expression Data with Pathway Scores. ISMB 2000: 407-417 - [c3]Alexander Zien, Ralf Zimmer, Thomas Lengauer:
A simple iterative approach to parameter optimization. RECOMB 2000: 318-327
1990 – 1999
- 1999
- [c2]Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alexander J. Smola, Thomas Lengauer, Klaus-Robert Müller:
Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. German Conference on Bioinformatics 1999: 37-43 - [c1]Christian Lemmen, Alexander Zien, Ralf Zimmer, Thomas Lengauer:
Application of Parameter Optimization to Molecular Comparison Problems. Pacific Symposium on Biocomputing 1999: 482-493
Coauthor Index
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