Linz photographed from Bachlberg
IEEE Conference on Evolving and Adaptive Intelligent Systems

Linz, June 2 - June 4, 2014


Topics include, but are not restricted to, the following:

Basic Methologies

  • Evolving Soft Computing Techniques
  • Evolving Fuzzy Systems
  • Evolving Rule-Based Classifiers
  • Evolving Neuro-Fuzzy Systems
  • Adaptive Evolving Neural Networks
  • On-line Genetic and Evolutionary Algorithms
  • Data Stream Mining
  • Incremental and Evolving Clustering Approaches
  • Adaptive Pattern Recognition
  • Incremental and Evolving ML Classifiers
  • Adaptive Statistical Techniques
  • Evolving Decision Systems

Advanced Concepts

  • Drifts and Shifts in Data Streams
  • Stability, Robustness, Convergence in Evolving Systems
  • On-line Feature Selection and Dimension Reduction
  • On-line Active and Semi-supervised Learning
  • On-line Complexity Reduction
  • Computational Aspects
  • Interpretability Issues
  • Incremental Adaptive Ensemble Methods
  • On-line Bagging and Boosting
  • Self-monitoring Evolving Systems
  • Human-Machine Interaction Issues
  • Hybrid Modeling
  • Transfer Learning
  • Reservoir Computing

Real-world Applications

  • EIS for On-Line Modeling and System Identification
  • EIS for Time Series Prediction
  • EIS for Data Stream Mining and Adaptive Knowledge Discovery
  • EIS in Robotics, Intelligent Transport and Advanced Manufacturing
  • EIS in Advanced Communications and Multi-Media Applications
  • EIS in Bioinformatics and Medicine
  • EIS in On-line Quality Control and Fault Diagnosis
  • EIS in Condition Monitoring Systems
  • EIS in Adaptive Evolving Controller Design
  • EIS in User Activities Recognition
  • EIS in Huge Database and Web Mining
  • EIS in Visual Inspection and Image Classification
  • EIS in Cloud Computing
  • EIS in Multiple Sensor Networks
  • EIS in Query Systems and Social Networks

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