JOINT SUB-CLASSIFIERS ONE CLASS CLASSIFICATION MODEL FOR AVIAN INFLUENZA OUTBREAK DETECTION

Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection

H5N1 avian influenza outbreak detection is a significant issue for early warning of epidemics. This paper proposes domain knowledge-based joint one class classification model for avian influenza outbreak. Instead of focusing on manipulations of the one class classification models, we delve into the one class avian influenza data-set, divide it into sub-classes by domain knowledge, train the sub...

Standardization of ELISA for Detection of Avian Influenza Virus Antibodies

Graph Embedded One-Class Classifiers for media data classification

This paper introduces the Graph Embedded One-Class Support Vector Machine and Graph Embedded Support Vector Data Description methods. These methods constitute novel extensions of the One-Class Support Vectors Machines and Support Vector Data Description, incorporating generic graph structures that express geometric data relationships of interest in their optimization process. Local or global re...

Multifocal Avian Influenza (H5N1) Outbreak

During March 2006, an outbreak of highly pathogenic avian influenza (H5N1) occurred in multiple poultry farms in Israel. The epidemiologic investigation and review of outbreak mitigation efforts uncovered gaps in planning for and containing the outbreak, thus affording valuable lessons applicable to other countries in similar settings.

Combining One-Class Classifiers for Mobile-User Substitution Detection

Modern personal mobile devices, as mobile phones, smartphones, and communicators can be easily lost or stolen. Due to the functional abilities of these devices, their use by an unintended person may result in a severe security incident concerning private or corporate data and services. The means of user substitution detection are needed to be able to detect situations when a device is used by a...