Hyun Jung Kim

Artificial Intelligence · with Kim · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyun Jung Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Snehal A. Mulay
  2. Karen Simonyan

Papers from Hyun Jung Kim's perspective

Ordered by how strongly the researchers Hyun Jung Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
  3. A Deep Learning Approach for Network Intrusion Detection System (EAI Endorsed Trans. Security Safety)
  4. Performance analysis of NSL-KDD dataset using ANN (2015 International Conference on Signal Processing and Communication Engineering Systems)
  5. Deep learning approach for Network Intrusion Detection in Software Defined Networking
  6. Random Forest Modeling for Network Intrusion Detection System
  7. Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context (International Conference on Machine Learning; Models, Technologies and Applications)
  8. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks (IEEE Access)
  9. A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier (Expert systems with applications)
  10. Intrusion Detection System using Support Vector Machine and Decision Tree

Their papers