output
20092017
most citedKey features of Turing systems are determined purely by network topology

57 citations

5 papers

nlin.AO2017★ 57 cited

Key features of Turing systems are determined purely by network topology

Xavier Diego, Luciano Marcon, Patrick Müller +1

Turing's theory of pattern formation is a universal model for self-organization, applicable to many systems in physics, chemistry and biology. Essential properties of a Turing syst…

q-bio.GN2013★ 4 cited

mTim: Rapid and accurate transcript reconstruction from RNA-Seq data

Georg Zeller, Nico Goernitz, Andre Kahles +4

Recent advances in high-throughput cDNA sequencing (RNA-Seq) technology have revolutionized transcriptome studies. A major motivation for RNA-Seq is to map the structure of express…

cs.CV2013★ 1 cited

GRED: Graph-Regularized 3D Shape Reconstruction from Highly Anisotropic and Noisy Images

Christian Widmer, Philipp Drewe, Xinghua Lou +3

Analysis of microscopy images can provide insight into many biological processes. One particularly challenging problem is cell nuclear segmentation in highly anisotropic and noisy…

stat.ML2011★ 32 cited

The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning

Marius Kloft, Gilles Blanchard

We derive an upper bound on the local Rademacher complexity of -norm multiple kernel learning, which yields a tighter excess risk bound than global approaches. Previous loc…

stat.ML2009

The Feature Importance Ranking Measure

Alexander Zien, Nicole Kraemer, Soeren Sonnenburg +1

Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access…