Kun-Huang Chen

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kun-Huang Chen trusts overall

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

  1. Songbo Tan
  2. R. Eberhart
  3. Isabelle M Guyon
  4. Manoranjan Dash
  5. Iffat A. Gheyas

Who trusts Kun-Huang Chen overall

  1. Bing Xue

Papers from Kun-Huang Chen's perspective

Ordered by how strongly the researchers Kun-Huang Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Introduction to Variable and Feature Selection
  2. Feature Selection for Classification
  3. A new optimizer using particle swarm theory
  4. Particle swarm optimization
  5. Hybrid Genetic Algorithms for Feature Selection (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. Multiobjective optimization using dynamic neighborhood particle swarm optimization (Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600))
  7. Stability analysis of the particle dynamics in particle swarm optimizer (IEEE Transactions on Evolutionary Computation)
  8. Multiswarms, exclusion, and anti-convergence in dynamic environments (IEEE Transactions on Evolutionary Computation)
  9. Improved binary PSO for feature selection using gene expression data (Comput. Biol. Chem.)
  10. Neighbor-weighted K-nearest neighbor for unbalanced text corpus (Expert systems with applications)

Their papers