A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

10 September 2017

Papers citing "A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data"

8 / 8 papers shown

Title
MultiGran-STGCNFog: Towards Accurate and High-Throughput Inference for Multi-Granular Spatiotemporal Traffic Forecasting Zhaoyan Wang Xiangchi Song In-Young Ko AI4TS 27 0 0 02 May 2025
Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams Yinzhen Zhong A. Lisitsa 12 0 0 17 Aug 2023
Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction Naghmeh Shafiee Roudbari Zachary Patterson Ursula Eicker Charalambos (Charis) Poullis GNN AI4TS 11 2 0 08 Sep 2022
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes C. Macartney Shoaib Ehsan Zetao Chen Michael Milford Klaus McDonald-Maier 16 129 0 07 Nov 2018
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 8 3,159 0 22 Mar 2018
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification Abien Fred Agarap AAML 14 79 0 31 Dec 2017
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification Abien Fred Agarap 23 163 0 10 Dec 2017
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset Abien Fred Agarap 23 228 0 20 Nov 2017