Jie Dou

Global and Planetary Change · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Dou trusts overall

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

  1. Julian D. Olden
  2. Hoang Nguyen
  3. Dervis Karaboga
  4. R. Eberhart
  5. Athanasios Tsanas

Papers from Jie Dou's perspective

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

  1. An Introduction to Genetic Algorithms.
  2. Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks
  3. A new optimizer using particle swarm theory
  4. An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
  5. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
  6. The Nature of Statistical Learning Theory
  7. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
  8. Bagging Predictors
  9. Support vector regression approach with different kernel functions for predicting blast-induced ground vibration: a case study in an open-pit coal mine of Vietnam (SN Applied Sciences)
  10. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)

Their papers