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19 Mars 2015

Catégorie : Conférence internationale

IEEE Conference on Evolving and Adaptive Intelligence Systems - EAIS 2015


 Douai, France, December 1—3, 2015




Paper Submission Due: July 20th, 2015

Notification of Acceptance: October 1st, 2015

Camera-Ready Papers Due: November 1st, 2015

Registration Deadline: November 1st, 2015 

 All accepted papers will be published in the conference Proceedings. Authors of accepted papers will be invited to submit extended versions for a possible inclusion in a special issue of the journal Evolving Systems (Springer).





IEEE EAIS 2015 will be held in Douai, a beautiful city located in the north of France close to Brussels and Paris.

IEEE EAIS 2015 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 modeling 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 on-line data streams.

EAIS 2015 is an IEEE sponsored conference which 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 and Austria. Authors of accepted papers will be invited to submit extended versions for a possible inclusion in a special issue of the journal Evolving Systems (Springer).




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
  • 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


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 On-line 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 Cloud Computing
  • EIS in Multiple Sensor Networks
  • EIS in Query Systems and Social Networks



Full papers - max. 8 pages IEEE style (double-column).

Short Papers - max. 4 pages IEEE style (double-column).





Plamen Angelov (

Dimitar Filev (

Nikola Kasabov (