Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A deep auto-encoder based approach for intrusion detection system
Intrusion detection using deep belief networks
Toward developing a systematic approach to generate benchmark datasets for intrusion detection
An intelligent intrusion detection system using genetic based feature selection and Modified J48 decision tree classifier
A Survey of Random Forest Based Methods for Intrusion Detection Systems
Comparison of Machine Learning algorithms performance in detecting network intrusion
Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection
A novel intrusion detection system based on hierarchical clustering and support vector machines
Machine learning techniques for intrusion detection on public dataset
An Enhanced Resilient Backpropagation Artificial Neural Network for Intrusion Detection System
A new intrusion detection system using support vector machines and hierarchical clustering
intrusion detection by machine learning : a review .
A Reinforcement Learning Approach for Host-Based Intrusion Detection Using Sequences of System Calls
Research and improvement on ID3 algorithm in intrusion detection system
An Efficient Intrusion Detection System Design
A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems
Specification-based anomaly detection: a new approach for detecting network intrusions
A software implementation of a genetic algorithm based approach to network intrusion detection
AdaBoost-Based Algorithm for Network Intrusion Detection
Design of Multiple-Level Hybrid Classifier for Intrusion Detection System
intrusion detection : support vector machines and neural networks .
lane detection ( part i ) : mono - vision based method .
You Only Look Once: Unified, Real-Time Object Detection
Design and Analysis of Permanent Magnet Linear Synchronous Motor with Special Pole Shape
Extracting and composing robust features with denoising autoencoders
Adaptive Thresholding and Reweighting to Improve Domain Transfer Learning for Unbalanced Data with Applications to EEG Imbalance