An efficient network behavior anomaly detection using a hybrid DBN-LSTM network

Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks

(2019) Thi-Thu-Huong Le et al.   Applied Sciences-Basel

Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection

(2018) R. Vijayanand et al.   COMPUTERS & SECURITY

Network intrusion detection algorithm based on deep neural network

(2018) Yang Jia et al.   IET Information Security

Enhanced Network Anomaly Detection Based on Deep Neural Networks

(2018) Sheraz Naseer et al.   IEEE Access

Extracting the nonlinear features of motor imagery EEG using parametric t-SNE

(2016) Ming-ai Li et al.   NEUROCOMPUTING

CANN: An intrusion detection system based on combining cluster centers and nearest neighbors

(2015) Wei-Chao Lin et al.   KNOWLEDGE-BASED SYSTEMS

Facial expression recognition based on fusion feature of PCA and LBP with SVM

(2012) Yuan Luo et al.   OPTIK

Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t-SNE

(2009) Andrew R. Jamieson et al.   MEDICAL PHYSICS

Cluster analysis of genome-wide expression data for feature extraction

(2008) Kuo-Sheng Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS