SS38: Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition


  • Neural networks for feature analysis
  • Fuzzy systems for feature analysis
  • Hybridization of evolutionary computation and neural networks, and fuzzy systems for feature selection and construction
  • Hybridization of evolutionary computation and machine learning, information theory, statistics, mathematical modelling, etc., for feature analysis
  • Feature analysis in classification, clustering, regression, image analysis, signal processing, and other tasks
  • Feature ranking/weighting
  • Feature selection
  • Feature construction/extraction
  • Multi-objective feature selection, construction or extraction
  • Feature analysis on high-dimensional and large-scale data
  • Analysis on computational intelligence for feature selection and construction/extraction algorithms
  • Evolutionary computation for feature analysis

Paper Submission Format: www.iC3I 2019.org/submissions.html