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IEEE EAIS 2022 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 futurechallenges 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 dynamic changes. Its embedded modelling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviours, knowledge expansion scenarios and drifts in online data streams.
Honorary Chairs
• Dimitar Filev, Ford Motor Co., USA
• Nikola Kasabov, Auckland University of Technology, New Zealand
General Chairs
• George A. Papadopoulos, University of Cyprus, Nicosia, Cyprus
• Plamen Angelov, Lancaster University, UK
Program Committee Chairs
• Giovanna Castellano, University of Bari, Italy
• José A. Iglesias, Carlos III University of Madrid, Spain
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. Adaptive Pattern Recognition. 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 Multimedia 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.
May 25
2022
May 27
2022
Draft paper submission deadline
Draft Paper Acceptance Notification
Final Paper Deadline
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