Thursday, 22 February 2018

Deadline extension: IEEE (SMC) Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018)

25-27 of May 2018
Rhodes, Greece

The 12th 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems is organized by the IEEE SMC.


The Paper Submission Deadline has been extended to: 18th of March, 2018
Notification of acceptance for the new submissions: 30th of March 2018
Camera Ready for the new Submissions: 10th of April 2018
Conference: 25 - 27 May, 2018

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).


Selected papers will be published in special issues of the following Journals:

  • IJAIT (International Journal on Artificial Intelligence Tools) Impact Factor 0.67, World Scientific, USA
  • EVOS Evolving Systems Journal, Edited by Springer


Three distinguished Keynote speakers will be invited

1. Professor Jean-Jacques Slotine MIT, USA
Non Linear Systems Lab, Massachusetts Institute of Technology, USA
Title: "Collective computation in adaptive nonlinear networks and the grammar of evolvabilityî

2. Professor Anastasios Tefas Aristotle University of Thessaloniki, Greece
Title: ìDeep Learning and Robotics: perception, control and innovationsî

3.Professor Plamen Angelov, Lancaster University, UK†

VENUE: ALDEMAR AMILIA MARE Resort, in the exotic island of Rhodes, Kalithea, Greece †Special cheap all-inclusive prices will be arranged.


Basic Methologies
* Evolving Soft Computing Techniques
* Evolving Fuzzy Systems
* Evolving Rule-Based Classifiers
* Evolving Neuro-Fuzzy Systems
* Adaptive Evolving Neural Networks
* Adaptive Evolving Fuzzy Systems
* Online Genetic and Evolutionary Algorithms
* Data Stream Mining
* Incremental and Evolving Clustering Approaches
* Adaptive Control
* Adaptive Pattern Recognition
* Computational Intelligence in Control and Estimation
* Incremental and Evolving ML Classifiers
* Adaptive Statistical Techniques
* Evolving Decision Systems
* Big Data
* Advanced Concepts

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

EIS (Evolving Intelligent Systems) for On-Line Modeling, System Identification, and Control†
* 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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