Qing-Guo Wang

IEEE/ACM Transactions on Computational Biology & Bioinformatics · with Ogunleye · 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.

Whom Qing-Guo Wang trusts overall

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

  1. Alan Jović

Papers from Qing-Guo Wang's perspective

Ordered by how strongly the researchers Qing-Guo Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Scikit-learn: Machine Learning in Python
  2. Extremely randomized trees
  3. A review of feature selection methods with applications (International Convention on Information and Communication Technology, Electronics and Microelectronics)
  4. Variable Selection Using Random Forests
  5. Pattern Classification
  6. Result Analysis of the NIPS 2003 Feature Selection Challenge
  7. Modular Toolkit for Data Processing (MDP): A Python Data Processing Framework
  8. Toward integrating feature selection algorithms for classification and clustering (IEEE Transactions on Knowledge and Data Engineering)
  9. Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines (Information Sciences)
  10. MIFS-ND: A mutual information-based feature selection method (Expert systems with applications)

Their papers