Manolis Tsagkaris

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In this paper we present the design and evaluation of intrusion detection models for MANETs using supervised classification algorithms. Specifically, we evaluate the performance of the MultiLayer Perceptron (MLP), the Linear classifier, the Gaussian Mixture Model (GMM), the Na¨ıve Bayes classifier and the Support Vector Machine (SVM). The performance of the(More)
Background Dendritic cells activated by hepatitis C virus (HCV) produce high amounts of interleukin (IL)-12, considered to be associated with HCV clearance. The aim of this study was to investigate the IL-12 levels in HCV-infected patients, before and after the application of combination therapy with Pegylated Interferon-α2β plus Ribavirin.
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