32 citations · 83 across the 4 of their papers we have counts for
6 papers
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…
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.…
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…
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…
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…
A Case Study on the Parametric Occurrence of Multiple Steady States
Russell Bradford, James H. Davenport, Matthew England +8
We consider the problem of determining multiple steady states for positive real values in models of biological networks. Investigating the potential for these in models of the mito…