Taining Zhang
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
Whom Taining Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Taining Zhang's perspective
Ordered by how strongly the researchers Taining Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Scikit-learn: Machine Learning in Python
- A novel hybrid KPCA and SVM with GA model for intrusion detection (Applied Soft Computing)
- A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (Expert systems with applications)
- A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks (IEEE Access)
- Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection (International Conference on Platform Technology and Service)
- Applying convolutional neural network for network intrusion detection (International Conference on Advances in Computing, Communications and Informatics)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
Their papers
- An Intrusion Detection Model Based on Feature Reduction and Convolutional Neural Networks (2019) — 302 citations