Rice University logo

Call for Papers

We invite contributions related to the theoretical and methodological aspects of Self-Organizing Maps, Learning Vector Quantization and closely related topics including:

  • Data analysis and visualization
  • Various mathematical approaches including information theory and mathematical statistics
  • Software and hardware implementations
  • Architectural solutions including hierarchical and growing networks, ensemble models and special metrics
  • Neuro-cognitive studies that compare modeling and empirical results at different levels
  • Models, experimental investigations and applications of autonomous mental development.

We also call for scientific and practice-oriented papers that demonstrate the use of SOM, LVQ and their variants in different application areas including but not limited to:

  • Data mining
  • Pattern recognition
  • Signal processing
  • Knowledge management
  • Time series processing
  • Modeling dynamic phenomena
  • Industrial applications
  • Bioinformatics
  • Biomedical applications
  • Telecommunications
  • Financial analysis
  • Cognitive modeling
  • Language modeling
  • Robotics and intelligent systems
  • Image processing and vision
  • Speech processing
  • Text and document analysis


All accepted papers will be published by Springer in their Advances in Intelligent Systems and Computing book series and at http://www.springer.com/.