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EAIS 2016 : IEEE International Conference on Evolving and Adaptive Intelligent Systems


When May 23, 2016 - May 25, 2016
Where Natal, Brazil
Submission Deadline Jan 25, 2016
Notification Due Feb 19, 2016
Final Version Due Mar 18, 2016
Categories    evolving soft computing   evolving fuzzy systems   evolving neuro-fuzzy systems   adaptive evolving nn

Call For Papers

Due to multiple requests, the deadline for paper submission was extended! The new deadline is 25 January 2016, 23:59 BRT (this is the final extension!)

(We apologize for multiple copies) - Please distribute this CFP among your colleagues and students

2016 IEEE International Conference on Evolving and Adaptive Intelligent Systems - 2016 IEEE EAIS
Natal, Brazil, May 23—25, 2016


Special Session Proposals Deadline: 13 November 2015
Paper Submission Deadline: 25 January 2016 (FINAL DEADLINE EXTENSION!)
Decision Notification: 19 February 2016
Final Paper Submission Deadline: 18 March 2016
Authors Registration Deadline: 18 March 2016

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

Submission page:


The 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (2016 IEEE EAIS) 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.

2016 IEEE EAIS 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.

2016 IEEE EAIS is organized by the IEEE Technical Committee on Evolving and Adaptive Intelligent Systems, SMC Society. 2016 IEEE EAIS will be held for the first time in Latin America, however, the conference series has a history starting in 2006 in Lake District (England). It was held after that in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris (France), Madrid (Spain), Singapore, Linz (Austria) and Douai (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).

Distinguished researchers working in theory, analysis and applications of evolving adaptive and intelligent systems and related areas are encouraged to submit proposals within the technical scope of 2016 IEEE EAIS.

Researchers interested in organizing special sessions are invited to submit a formal proposal at the website:

Areas of interest include, but are not limited to:

Basic Methologies

- 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 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
- 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 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

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

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


Bruno Sielly Jales Costa, Instituto Federal do Rio Grande do Norte (IFRN), Natal, Brazil


Luiz Affonso Guedes, Universidade Federal do Rio Grande do Norte (UFRN), Natal, Brazil

Publication Chairs:

Igor Škrjanc, Slovenia
Edwin Lughofer, Austria

Local Arrangement Chairs:
Arthur S. Medeiros, Brazil
Marcus Fernandes, Brazil
Clauber G. Bezerra, Brazil
Allan M. Martins, Brazil
Marcelo Damasceno, Brazil

Web & Publicity Chair:
José A. Iglesias, Spain
Teng Teck Hou, Singapore

Special Session Chair:
Radu-Emil Precup, Romania

Program Committee Chair:
Bruno Sielly Jales Costa, Brazil

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