Connectionists: Call for papers: Special session on Sensing and Predicting Human Mental and Medical State at WCCI-IJCNN (Rio de Janeiro, 8-13, July 2018)

Jim Tørresen jimtoer at ifi.uio.no
Fri Jan 12 01:54:30 EST 2018


[Apologies if you receive multiple copies of this CFP]

Call for papers: Computational Intelligence for Sensing and Predicting Human Mental and Medical State (CI-SEPHUMMES)

Cross-Disciplinary Special session at 2018 IEEE World Congress on Computational Intelligence (WCCI) 

Special session Web page: https://sites.google.com/site/wcci2018sephummes <https://sites.google.com/site/wcci2018sephummes>
International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018)
8-13 July 2018, Rio de Janeiro, Brazil - http://www.ecomp.poli.br/~wcci2018/ <http://www.ecomp.poli.br/~wcci2018/> 

Paper submission deadline: 1 February 2018 (extended)  



Organizers

Jim Torresen <https://people.uio.no/jimtoer>, University of Oslo, Norway

Enrique Garcia Ceja <http://www.enriquegc.com/>, University of Oslo, Norway

Dante Barone <mailto:barone at inf.ufrgs.br>, Federal University of Rio Grande do Sul, Brazil

 

Description 

Computational intelligence techniques have shown to be effective in classifying human mental and medical state. This is useful for a number of applications including within mental health treatment technology and systems for monitoring and notifying about irregular medical state of elderly people living alone at home. Many different kinds of sensing technologies are relevant including sensors available in smartphones, sensor watches and ambient sensors.



Scope and Topics

The aim of the special session is to provide a forum to disseminate and discuss recent and significant research within applying computation intelligence to classify, model and predict future human mental and medical state. We invite interested authors to submit their original and unpublished work to this special session.

Topics of interest within the given application domain for the special session include (but are not limited to):

• Ambient assisted living

• Ambient sensor systems

• Contributions and Applications of Computational Neuroscience

• Data analytics and visualization

• Emotion detection

• Medical state classification and forecasting

• Mental disorders state classification and forecasting

• Mobile sensing

• Multi-sensor fusion

• On-body sensor systems

• Privacy in human monitoring

• Remote sensing and monitoring

• Robot companion sensing

• Sensitive data collection and storage

• Sensor networks

• Smart home technologies

• Temporal data analysis

• Time series modeling and forecasting

Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style.

Accepted and presented papers will be published under the IJCNN 2018 proceedings. However, as a cross-disciplinary and CI applications oriented special session, cross-disciplinary work involving Fuzzy and Evolutionary learning is encouraged. For paper guidelines please visit www.ecomp.poli.br/~wcci2018/submissions/#guidelines <http://www.ecomp.poli.br/~wcci2018/submissions/#guidelines><http://www.ecomp.poli.br/~wcci2018/submissions/#guidelines <http://www.ecomp.poli.br/~wcci2018/submissions/#guidelines>> and for submissions please visit http://ieee-cis.org/conferences/ijcnn2018/upload.php <http://ieee-cis.org/conferences/ijcnn2018/upload.php> and select "CDSS-23. Special Session special session on Computational Intelligence for Sensing and Predicting Human Mental and Medical State" as the Main research topic.



IMPORTANT DATES:

Paper submission: 15th January 2018
Paper acceptance: 15th March 2018
Final paper submission: 1st May 2018
Early registration: 1st May 2018
IEEE WCCI 2018 conference: 8-13 July 2018

 

Best regards,

Jim

 

Jim Torresen
Professor
Department of Informatics
University of Oslo
PO Box 1080 Blindern
N-0316 Oslo
====================
E-mail: jimtoer at ifi.uio.no <mailto:jimtoer at ifi.uio.no>
Phone: +47 2285 2454
Mobile: + 47 9284 6669
http://people.uio.no/jimtoer <http://people.uio.no/jimtoer>



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