1. Using semi-supervised machine learning to address the big data problem in DNS networks;Watkins,2017
2. Fraud detection in big data using supervised and semi-supervised learning techniques;Melo-Acosta,2017
3. Detecting malicious URLs: A semi-supervised machine learning system approach;Gabriel,2016
4. Optimized zero false positives perceptron training for malware detection;Gavrilut,2012
5. Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis;Cambra,2015