Guang Cheng

Artificial Intelligence · with Dai · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guang Cheng trusts overall

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

  1. Xin-She Yang
  2. J. Ross Quinlan
  3. Jerome H. Friedman
  4. Jaka Demsar
  5. Huan Liu
  6. Nour Moustafa
  7. Iman Sharafaldin
  8. Yudong Zhang
  9. Weiming Hu
  10. Bayu Adhi Tama

Papers from Guang Cheng's perspective

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

  1. Random Forests
  2. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
  3. C4.5: Programs for Machine Learning
  4. Greedy function approximation: A gradient boosting machine.
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. AdaBoost-Based Algorithm for Network Intrusion Detection (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  7. Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset (IEEE Communications Surveys and Tutorials)
  8. Data Mining Practical Machine Learning Tools and Techniques
  9. An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things (IEEE Internet of Things Journal)
  10. A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection (IEEE Communications Surveys and Tutorials)

Their papers