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SCFBM
2008
138views more  SCFBM 2008»
13 years 9 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
CIKM
2009
Springer
14 years 4 months ago
Role of weak ties in link prediction of complex networks
Plenty of algorithms for link prediction have been proposed and were applied to various real networks. Among these works, the weights of links are rarely taken into account. In th...
Linyuan Lu, Tao Zhou
ACSAC
2005
IEEE
14 years 3 months ago
Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...
Steven Noel, Sushil Jajodia
IEEEICCI
2003
IEEE
14 years 3 months ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
IJON
2008
152views more  IJON 2008»
13 years 8 months ago
Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
This article depicts the approach used to build the Topos application, a simulation of two-wheel robots able to discern real complex sounds. Topos is framed in the nouvelle concep...
Pablo González-Nalda, Blanca Cases