Name
Affiliation
Papers
ALEXANDER ZIEN
Max Planck Inst. Tübingen, Germany
26
Collaborators
Citations 
PageRank 
55
1255
146.93
Referers 
Referees 
References 
2989
527
284
Search Limit
1001000
Title
Citations
PageRank
Year
Support Vector Machines as Probabilistic Models.120.832011
A New Scatter-Based Multi-Class Support Vector Machine00.342011
Non-Sparse Regularization and Efficient Training with Multiple Kernels171.032010
The SHOGUN Machine Learning Toolbox11619.532010
mGene.web: a web service for accurate computational gene finding.40.782009
Efficient and Accurate Lp-Norm Multiple Kernel Learning.471.542009
The Feature Importance Ranking Measure80.802009
An Automated Combination of Kernels for Predicting Protein Subcellular Localization140.652008
POIMs: positional oligomer importance matrices--understanding support vector machine-based signal detectors.231.742008
Multiclass multiple kernel learning1135.572007
Transductive support vector machines for structured variables271.372007
A continuation method for semi-supervised SVMs633.172006
ARTS: accurate recognition of transcription starts in human.505.652006
Semi-Supervised Classification by Low Density Separation.30416.912005
Large margin non-linear embedding50.882005
Learning to Find Graph Pre-images130.682004
Prediction on Spike Data Using Kernel Algorithms111.112003
Microarrays: how many do you need?107.602003
Co-clustering of biological networks and gene expression data.1438.432002
Confidence measures for protein fold recognition.71.092002
Confidence Measures for Fold Recognition10.472001
Centralization: a new method for the normalization of gene expression data.2510.712001
A simple iterative approach to parameter optimization.101.072000
Engineering support vector machine kernels that recognize translation initiation sites.17729.622000
Analysis of gene expression data with pathway scores.5324.822000
Application of parameter optimization to molecular comparison problems.20.551999