CALL FOR PAPERS Special Session on "CONCEPT DRIFT, DOMAIN ADAPTATION & LEARNING IN DYNAMIC ENVIRONMENTS" will be held within IEEE WCCI 2018, Rio de Janeiro, Brazil - July, 8-13 2018

http://home.deib.polimi.it/boracchi/events/ijcnn2018_SS/index.html
http://www.ecomp.poli.br/~wcci2018/



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IMPORTANT DATES

Paper submission: 15th January 2018
Paper Decision notification: 15th March 2018
Camera-ready submission: 1st May 2018
Conference Dates: July, 8-13 2018

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One of the fundamental goals of computational intelligence is to achieve brain-like intelligence, a remarkable property of which is the ability to incrementally learn from noisy and incomplete data, and ability to adapt to changing environments. The special session aims at presenting novel approaches to incremental learning and adaptation to dynamic environments both from the more traditional and theoretical perspective of computational intelligence and from the more practical and application-oriented one.

This Special Session aspires at building a bridge between academic and industrial research, providing a forum for researchers in this area to exchange new ideas with each other, as well as with the rest of the neural network & computational intelligence community.



*Topics*

Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:

. Methods and algorithms for learning in dynamic/non-stationary environments
. Transfer Learning and Domain Adaptation
. Incremental learning, lifelong learning, cumulative learning
. Online learning and stream mining algorithms
. Change and covariate-shift adaptation
. Semi-supervised learning methods for nonstationary environments
. Ensemble methods for learning in nonstationary environments
. Learning under concept drift and class imbalance
. Learning recurrent concepts
. Change-detection and anomaly-detection algorithms
. Information-mining algorithms in nonstationary data streams
. Cognitive-inspired approaches for adaptation and learning
. Applications that call for learning in dynamic/non-stationary environments, or change/anomaly detection, such as:
- adaptive classifiers for concept drift
- adaptive/Intelligent systems
- fraud detection
- fault detection and diagnosis
- network-intrusion detection and security
- intelligent sensor networks
- time series analysis
. Development of datasets/benchmarks/standards for evaluating algorithms learning in non-stationary/dynamic environments
. Adversarial machine learning


*Keywords*

Concept drift, nonstationary environment, change/anomaly detection, domain adaptation, incremental learning, data streams.



*Paper Submission*

THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS 15th January 2018.

All the submissions will be peer-reviewed with the same criteria used for other contributed papers.

Perspective authors will submit their papers through the IEEE WCCI 2018 conference submission system at http://www.ecomp.poli.br/~wcci2018/

Templates and instruction for authors will be provided on the IEEE WCCI webpage http://www.ecomp.poli.br/~wcci2018/

All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the IEEE Conference Proceedings.

Further information about IEEE WCCI 2018 can be found at http://www.ecomp.poli.br/~wcci2018/

For any questions, you may have the Special Session or paper submission, feel free to contact the Special Session Organizers

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Special Session on
"CONCEPT DRIFT, DOMAIN ADAPTATION & LEARNING IN DYNAMIC ENVIRONMENTS" @ IEEE WCCI 2018


*Organizers*
. Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy)
. Gregory Ditzler, (University of Arizona, AZ, USA)
. Robi Polikar (Rowan University, Glassboro, NJ, USA)
. Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy)