[AISWorld] IEEE MLESP 2018 Deadline Extended

Larbi Boubchir boubchir at ai.univ-paris8.fr
Sat Sep 29 16:03:55 EDT 2018


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Due to a number of requests, we have decided to apply an extension 
deadline for papers submission up to *October 7*, 2018 (11:59 pm CST).
Apologies for the wide distribution of this message. This is the first 
(and final!) announcement for MLESP2018 (https://bit.ly/2xNnPmp).
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*The 1st International Workshop on Machine Learning for EEG Signal 
Processing (MLESP 2018) *
Madrid, Spain, December 3-6, 2018
in conjunction with the IEEE International Conference on Bioinformatics 
and Biomedicine
http://orienta.ugr.es/bibm2018/
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Overview
EEG signal processing involves the analysis and treatment of the 
electrical activity of the brain measured with Electroencephalography, 
or EEG, in order to provide useful information on which decisions can be 
made. The recent advances in signal processing and machine learning for 
EEG data processing have brought an impressive progress to solve several 
practical and challenging problems in many areas such as healthcare, 
biomedicine, biomedical engineering, BCI and biometrics. The aim of this 
workshop is to present and discuss the recent advances in machine 
learning for EEG signal analysis and processing. We are inviting 
original research work, as well as significant work-in-progress, 
covering novel theories, innovative methods, and meaningful applications 
that can potentially lead to significant advances in EEG data analytics. 
This workshop is an opportunity to bring together academic and 
industrial scientists to discuss the recent advances.

The topics of interest include but not limited to:
• EEG signal processing and analysis
• Time-frequency EEG signal analysis
• Signal processing for EEG Data
• EEG feature extraction and selection
• Machine learning for EEG signal processing
• EEG classification and clustering
• EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's 
disease, etc.)
• Machine learning in EEG Big Data
• Deep Learning for EEG Big Data
• Neural Rehabilitation Engineering
• Brain-Computer Interface
• Neurofeedback
• Biometrics with EEG data
• Related applications

Program Chair:
• Assoc. Prof., Larbi Boubchir (LIASD - University of Paris 8, France)

Program Committee:
• Prof. Boubaker Daachi (LIASD - University of Paris 8, France)
• Prof. Mohamad Sawan (Polytechnique Montréal, Canada)
• Prof. Geraldine Boylan (University College Cork, Ireland)
• Prof. Lei Ding (University of Oklahoma, USA)

Important Dates:
• Sept. 30, 2018 Oct. 7, 2018 (11:59 pm CST): Due date for full workshop 
papers submission
• Oct. 27, 2018: Notification of paper acceptance to authors
• Nov. 15, 2018: Camera-ready of accepted papers
• Dec. 3-6, 2018: Workshops

Paper Submission:
• Please submit a full-length paper (up to 8 page IEEE 2-column format) 
or short paper (3-6 pages) through the online submission system. You can 
download the format instruction here: 
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
• Electronic submissions in PDF format are required.
• Online Submission: https://wi-lab.com/cyberchair/2018/bibm18/

Publication:
All accepted papers will be published in the BIBM proceedings and IEEE 
Xplore Digital Library.

Journal Special Issue:
Selected high-quality papers will be invited for publication in a 
special issue in highly respected journal.

Contact:
Please email workshop chair: Larbi Boubchir 
(larbi.boubchir[at]ai.univ-paris8.fr)

Please find the call for papers and more information at the workshop 
webpage:
http://www.ai.univ-paris8.fr/~boubchir/Workshop/MLESP2018/home.htm 
<http://www.ai.univ-paris8.fr/%7Eboubchir/Workshop/MLESP2018/home.htm>

-- 
_____________________________________________________
Larbi Boubchir, PhD, SMIEEE
Associate Professor

LIASD - University of Paris 8
2 rue de la Liberté, 93526 Saint-Denis, France
Tel. (+33) 1 49 40 67 95
Email. larbi.boubchir at ai.univ-paris8.fr
http://www.ai.univ-paris8.fr/~boubchir/
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