DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model
Toward Automated Dynamic Malware Analysis Using CWSandbox
Random Forests
OPEM: A Static-Dynamic Approach for Machine-Learning-Based Malware Detection
An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems
Exploring Multiple Execution Paths for Malware Analysis