IEEE EAIS 2020 : IEEE EAIS2020 – 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems

  in Conferences   Posted on October 26, 2019

Conference Information

Submission Deadline Friday 10 Jan 2020 Proceedings indexed by :
Conference Dates May 27, 2020 - May 29, 2020
Conference Address Bari, Italy
Conference & Submission Link http://eais2020.di.uniba.it
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

IEEE EAIS 2020 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 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.

**** IMPORTANT DATES ****

*** CALL FOR SPECIAL SESSION ***

Proposal submission: October 10, 2019

Notification: November 11, 2019

*** CALL FOR RESEARCH PAPERS ***

Paper submission: January 10, 2020

Notification: February 19, 2020

Camera ready: March 20, 2020

Authors Registration: March 27, 2020

**** TOPICS ****

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 Multi-Media 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.

**** SUBMISSIONS ****

Submitted papers should not exceed eight (8) pages.

Submissions of full papers are accepted online through the EasyChair system.

Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of an international journal.

**** HONORARY CHAIRS ****

Plamen Angelov, Lancaster University, UK

Dimitar Filev, Ford Motor Co., USA

Nikola Kasabov, Auckland University of Technology, New Zealand

**** GENERAL CHAIRS ****

Giovanna Castellano, University of Bari Aldo Moro, Italy

Corrado Mencar, University of Bari Aldo Moro, Italy

**** CONTACTS ****

Any inquiries can be directed to info.eais2020@uniba.it

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