Jin-long Fei

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Networks and Communications — 8 citations into it

Whom Jin-long Fei trusts overall

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

1. James Martens
2. Sathyanarayanan Revathi
3. B. Ingre

Papers from Jin-long Fei's perspective

Ordered by how strongly the researchers Jin-long Fei trusts endorse each paper. Same corpus, a different order for every researcher.

1. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
2. Deep Learning
3. Learning Recurrent Neural Networks with Hessian-Free Optimization
4. A Deep Learning Approach for Network Intrusion Detection System (EAI Endorsed Trans. Security Safety)
5. Performance analysis of NSL-KDD dataset using ANN (2015 International Conference on Signal Processing and Communication Engineering Systems)
6. Fuzziness based semi-supervised learning approach for intrusion detection system (Information Sciences)
7. Deep learning approach for Network Intrusion Detection in Software Defined Networking
8. Random Forest Modeling for Network Intrusion Detection System
9. A Detailed Analysis on NSL-KDD Dataset Using Various Machine Learning Techniques for Intrusion Detection
10. A novel hybrid KPCA and SVM with GA model for intrusion detection (Applied Soft Computing)

Their papers

• A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks (2017) — 1,676 citations