Topics
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