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