活动简介

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.

组委会

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

征稿信息

重要日期

2022-01-10
初稿截稿日期
2022-02-19
初稿录用日期
2022-03-20
终稿截稿日期

征稿范围

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. 

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重要日期
  • 会议日期

    05月25日

    2022

    05月27日

    2022

  • 01月10日 2022

    初稿截稿日期

  • 02月19日 2022

    初稿录用通知日期

  • 03月20日 2022

    终稿截稿日期

  • 05月27日 2022

    注册截止日期

主办单位
IEEE Computer Society
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