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VIS
2005
IEEE
122views Visualization» more  VIS 2005»
14 years 5 months ago
Effectively Visualizing Large Networks Through Sampling
We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
Davood Rafiei, Stephen Curial
EWSN
2010
Springer
13 years 7 months ago
Mitigating the Effects of RF Interference through RSSI-Based Error Recovery
On a common sensor node platform (Telos) we sample RSSI with high frequency during packet reception. We find that a packet collision (RF interference) often manifests as a measurab...
Jan-Hinrich Hauer, Andreas Willig, Adam Wolisz
IWPC
2003
IEEE
13 years 9 months ago
Scaling an Object-Oriented System Execution Visualizer through Sampling
Increasingly, applications are being built by combining existing software components. For the most part, a software developer can treat components as black-boxes. However, for som...
Andrew Chan, Reid Holmes, Gail C. Murphy, Annie T....
BMCBI
2007
215views more  BMCBI 2007»
13 years 4 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer