Measuring graph similarity is a key issue in many applications. We propose a new constraint-based modeling language for defining graph similarity measures by means of constraints. ...
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
Wireless Sensor Networks (WSNs) are increasingly being employed as a key building block of pervasive computing infrastructures, owing to their ability to be embedded within the re...
Animesh Pathak, Luca Mottola, Amol Bakshi, Viktor ...
Abstract— A Kauffman network is an abstract model of gene regulatory networks. Each gene is represented by a vertex. An edge from one vertex to another implies that the former ge...
To address the problem of performing long time simulations of biochemical pathways under in vivo cellular conditions, we have developed a lattice-based, reaction-diffusion model t...
Elijah Roberts, John E. Stone, Leonardo Sepulveda,...