1. Network traffic pattern analysis using improved information theoretic co-clustering based collective anomaly detection;Ahmed,2014
2. A survey of network anomaly detection techniques;Ahmed;Journal of Network and Computer Applications,2016
3. Traffic classification and verification using unsupervised learning of Gaussian Mixture Models;Alizadeh,2015
4. Material recognition in the wild with the materials in context database;Bell,2015
5. An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection;Catania;Expert Systems with Applications,2012