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IEEE EAIS 2020 will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially those ones with high complexity and dynamics change. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams.
All submitted papers must present research advances and should appropriately follow the purpose and topics of the conference. Contributions will be selected based upon their quality as evaluated by the reviewers. An online submission system for contributions will be made available on this webpage soon.
Papers must be comprised of up to 8 pages. All contributions have to be prepared according to the IEEE conference style guidelines. Templates following these guidelines can be downloaded from the IEEE website (use e.g., bare_conf.tex as an example for LaTeX based contribution).
All contributions finally accepted for the conference will be published in the conference proceedings provided that at least one of the authors has registered in time (see also Registration).
Authors of selected papers will be invited to submit extended versions to Evolving Systems (Springer).
Topics
Areas of interest include, but are not limited to:
Basic Methodologies:
Evolving Soft Computing Techniques
Evolving Fuzzy Systems
Evolving Rule-Based Classifiers
Evolving Neuro-Fuzzy Systems
Adaptive Evolving Neural Networks
Online 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
Big Data
Advanced Concepts
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 Online 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 Image Processing
EIS in Cloud Computing
EIS in Multiple Sensor Networks
EIS in Query Systems and Social Networks
EIS in Alternative Statistical and Machine Learning Approaches
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
Real-world Applications
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