Jianhua Ma

IEEE Transactions on Industrial Informatics · 2021

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

Whom Jianhua Ma trusts

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

  1. Diederik P. Kingma (in Probabilistic & Bayesian Methods)

Papers from Jianhua Ma's perspective

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

  1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  2. Representation Learning: A Review and New Perspectives
  3. Stochastic Gradient VB and the Variational Auto-Encoder
  4. Machine Learning DDoS Detection for Consumer Internet of Things Devices (2018 IEEE Security and Privacy Workshops (SPW))
  5. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
  6. A Supervised Intrusion Detection System for Smart Home IoT Devices (IEEE Internet of Things Journal)
  7. The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set (Information Security Journal)
  8. A Deep Learning Approach to Network Intrusion Detection
  9. HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection (IEEE Access)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers