An anomaly-based intrusion detection system using recursive feature elimination technique for improved attack detection

Random Forest:  A Classification and Regression Tool for Compound Classification and QSAR Modeling

Vladimir Svetnik, Andy Liaw, Christopher Tong et al. · Journal of Chemical Information and Computer Sciences · 2003 · 3.6K citations

Computing, Medicinal Chemistry, Drug Discovery +16

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

Chuanlong Yin, Yuefei Zhu, Jinlong Fei et al. · IEEE Access · 2017 · 2K citations · Full text

Computing, Computer Engineering, Computer Science +12

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

Muhammad Waseem Ahmad, Monjur Mourshed, Yacine Rezgui · Energy and Buildings · 2017 · 989 citations · Full text

Computing, Building Science, Computer Science +17

Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model

Shadi Aljawarneh, Monther Aldwairi, Muneer Bani Yassein · Journal of Computational Science · 2017 · 673 citations

Computing, Computer Engineering, Computer Science +16

Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products

Pablo M. Granitto, Cesare Furlanello, Franco Biasioli et al. · Chemometrics and Intelligent Laboratory Systems · 2006 · 666 citations

Computing, Data Science, Feature Engineering +4