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POST
2012
162views more  POST 2012»
14 years 2 months ago
Revisiting Botnet Models and Their Implications for Takedown Strategies
Abstract. Several works have utilized network models to study peerto-peer botnets, particularly in evaluating the effectiveness of strategies aimed at taking down a botnet. We obs...
Ting-Fang Yen, Michael K. Reiter
BMCBI
2010
95views more  BMCBI 2010»
15 years 6 months ago
Modelling p-value distributions to improve theme-driven survival analysis of cancer transcriptome datasets
Background: Theme-driven cancer survival studies address whether the expression signature of genes related to a biological process can predict patient survival time. Although this...
Esteban Czwan, Benedikt Brors, David Kipling
INTENSIVE
2009
IEEE
16 years 1 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer
WCRE
2008
IEEE
16 years 1 months ago
A Bayesian Network Based Approach for Change Coupling Prediction
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sourc...
Yu Zhou, Michael Würsch, Emanuel Giger, Haral...
OOPSLA
2007
Springer
16 years 27 days ago
SmartEMF: guidance in modeling tools
The advent of domain-specific modeling in enterprise systems development has given rise to new tool requirements. Existing tools do not offer sufficient modeling guidance or inc...
Anders Hessellund