Introduction

The 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2016) will be held in Natal (Brazil), a beautiful city located at the Brazil's northeast coast. It is the Brazilian closest capital to/from Europe and Africa. Natal has several tourist attractions and is famous for its natural beauty, for its historical monuments and buildings, and for its gorgeous beaches. The city also boasts the second largest urban park in Brazil and was one of the host cities of the 2014 FIFA World Cup.

 

IEEE EAIS 2016 will provide a 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.

 

IEEE EAIS 2016 is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. EAIS conference series has a history starting in 2006 in Lake District, England. It was held after that in Germany, USA, France, Spain, Singapore, Austria and France. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of the journal Evolving Systems (Springer).

 

IEEE EAIS 2016 will be jointly hosted by the Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN) and the Federal University of Rio Grande do Norte (UFRN).

Call for paper

Submission Topics

Topics include, but are not restricted to, the following:

  • Basic Methologies
  • Evolving Soft Computing Techniques
  • Evolving Fuzzy Systems
  • Evolving Rule-Based Classifiers
  • Evolving Neuro-Fuzzy Systems
  • Adaptive Evolving Neural Networks
  • On-line 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
  • Drifts and Shifts in Data Streams
  • Stability, Robustness, Convergence in Evolving Systems
  • On-line Feature Selection and Dimension Reduction
  • On-line Active and Semi-supervised Learning
  • On-line Complexity Reduction
  • Computational Aspects
  • Interpretability Issues
  • Incremental Adaptive Ensemble Methods
  • On-line Bagging and Boosting
  • Self-monitoring Evolving Systems
  • Human-Machine Interaction Issues
  • Hybrid Modeling
  • Transfer Learning
  • Reservoir Computing
  • Real-world Applications
  • 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
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Important Date

  • Conference Date

    May 23

    2016

    to

    May 25

    2016

  • May 25 2016

    Registration deadline

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