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» Intrusion Detection for Distributed Applications
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KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 9 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 3 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
SIES
2008
IEEE
14 years 3 months ago
An investigation of the clique problem in FlexRay
—Distributed, time-triggered communication based on FlexRay is likely to become an enabler for future safety related applications in the automotive domain. Prior to series deploy...
Paul Milbredt, Martin Horauer, Andreas Steininger
IJCNN
2006
IEEE
14 years 2 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
ISESE
2006
IEEE
14 years 2 months ago
An industrial case study of structural testing applied to safety-critical embedded software
Effective testing of safety-critical real-time embedded software is difficult and expensive. Many companies are hesitant about the cost of formalized criteria-based testing and a...
Jing Guan, Jeff Offutt, Paul Ammann