activity
20172019
most citedSymbolic Versus Numerical Computation and Visualization of Parameter Regions for Multistationarity of Biological Networks

18 citations · 21 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2019

Unsupervised and Generic Short-Term Anticipation of Human Body Motions

Kristina Enes, Hassan Errami, Moritz Wolter +4

Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and expla…

cs.CV20193 cited

Bonn Activity Maps: Dataset Description

Julian Tanke, Oh-Hun Kwon, Patrick Stotko +9

The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest.…

cs.SC2019

Identifying the Parametric Occurrence of Multiple Steady States for some Biological Networks

R. Bradford, J. H. Davenport, M. England +8

We consider a problem from biological network analysis of determining regions in a parameter space over which there are multiple steady states for positive real values of variables…

math.DS2018

On three genetic repressilator topologies

Masa Dukaric, Hassan Errami, Roman Jerala +4

Novel mathematical models of three different repressilator topologies are introduced. As designable transcription factors have been shown to bind to DNA non-cooperatively, we have…

cs.SC201718 cited

Symbolic Versus Numerical Computation and Visualization of Parameter Regions for Multistationarity of Biological Networks

Matthew England, Hassan Errami, Dima Grigoriev +3

We investigate models of the mitogenactivated protein kinases (MAPK) network, with the aim of determining where in parameter space there exist multiple positive steady states. We b…