Areas of interest include, but are not limited to:

Basic Methologies

  • Evolving Soft Computing Techniques
  • Evolving Fuzzy Systems
  • Evolving Rule-Based Classifiers
  • Evolving Neuro-Fuzzy Systems
  • Adaptive Evolving Neural Networks
  • Adaptive Evolving Fuzzy Systems
  • Online Genetic and Evolutionary Algorithms
  • Data Stream Mining
  • Incremental and Evolving Clustering Approaches
  • Adaptive Control
  • Adaptive Pattern Recognition
  • Computational Intelligence in Control and Estimation
  • Incremental and Evolving ML Classifiers
  • Adaptive Statistical Techniques
  • Evolving Decision Systems
  • Big Data

Problems and Methodologies in Data Streams

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

Applications of EAIS 

  • Time Series Prediction
  • Data Stream Mining and Adaptive Knowledge Discovery
  • Robotics, Intelligent Transport and Advanced Manufacturing
  • Advanced Communications and Multi-Media Applications
  • Bioinformatics and Medicine
  • Online Quality Control and Fault Diagnosis
  • Condition Monitoring Systems
  • Adaptive Evolving Controller Design
  • User Activities Recognition
  • Huge Database and Web Mining
  • Visual Inspection and Image Classification
  • Image Processing
  • Cloud Computing
  • Multiple Sensor Networks
  • Query Systems and Social Networks
  • Alternative Statistical and Machine Learning Approaches