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


When May 27, 2020 - May 29, 2020
Where Bari
Submission Deadline Feb 8, 2020
Categories    computational intelligence   adaptive systems   evolving systems   artificial intelligence

Call For Papers


2020 IEEE Conference on
Evolving and Adaptive Intelligent Systems

Bari (Italy), May 27-29, 2020


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 dynamic changes. 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.


Paper submission: February 8, 2020 (final extension)
Notification: March 6, 2020
Travel Grant: March 12, 2020
Camera ready: March 20, 2020

Authors Registration: March 27, 2020
Note that we are offering travel awards to student authors of accepted papers and IEEE/CIS is offering travel grants for students and researchers from developing countries.

**** 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.


- Evolving Business Process Management (EvoBPM)
- Adaptive Machine Learning and Evolving Intelligent Systems
- New Trends in Continual Learning with Deep Architectures
- Recent Advances on Text and Document Streams Mining
- Adaptive Intelligent Systems for “Good” Technologies
- Advances in segmentation of data streams
- Ensemble Methods in Evolving Frameworks
- Evolving and Adaptive Intelligent Systems for Condition Monitoring and Predictive Maintenance in Industry 4.0 scenarios
- Computational Intelligence methods in bioinformatics

Submitted papers should not exceed 8 pages plus at most 2 pages overlength.
Submissions of full papers are accepted online through the EasyChair system.

A full registration entitles to publish a maximum of 2 papers by the same registered author.
A student registration covers only one accepted paper.

EAIS2020 proceedings will be published on IEEE Xplore Digital Library. Authors of selected papers will be invited to submit extended versions for possible inclusion in a special issue of an international journal.

**** SOCIAL ****

Plamen Angelov, Lancaster University, UK
Dimitar Filev, Ford Motor Co., USA
Nikola Kasabov, Auckland University of Technology, New Zealand

Giovanna Castellano, University of Bari Aldo Moro, Italy
Corrado Mencar, University of Bari Aldo Moro, Italy

**** CONTACTS ****
Any inquiries can be directed to

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