Connectionists: [CfP] The 4th international workshop on Machine Learning for EEG Signal Processing (MLESP)

[Larbi Boubchir]

[Apologies for multiple postings]
>
> *CALL FOR PAPERS *
>
>
> The 4th international workshop on Machine Learning for EEG Signal 
> Processing (MLESP 2023, https://mlesp2023.sciencesconf.org/ 
> <https://mlesp2023.sciencesconf.org/>) will be held in Istanbul, 
> Turkey, from 5 to 8 December 2023, in conjunction with the IEEE 
> International Conference on Bioinformatics and Biomedicine (IEEE BIBM 
> 2023, https://ieeebibm.org/BIBM2023 <https://ieeebibm.org/BIBM2023>)
>
> *
> *
>
> *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 impressive progress in solving 
> 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 recent 
> advances.
>
> *
> *
>
> *The topics of interest include but are 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 Hierarchical 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
> - EEG-based Biometrics
> - Related applications
>
> *
> *
>
> *Important Dates *
>
> *Oct. 10, 2023*(11:59 pm CST):Due date for full workshop papers submission
> Nov. 5, 2023: Notification of paper acceptance to authors
> Nov. 21, 2023: Camera-ready of accepted papers
> Dec 5-8, 2023: Workshops
>
> *Paper Submission*
>
> - Please submit a full-length paper (up to 8 pages IEEE 2-column 
> format) through the online submission system. You can download the 
> format instruction here:
> https://www.ieee.org/conferences/publishing/templates.html 
> <https://www.ieee.org/conferences/publishing/templates.html>
>
> - Electronic submissions in PDF format are required.
>
> *Online Submission*
>
> https://wi-lab.com/cyberchair/2023/bibm23/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2023/bibm23/scripts/ws_submit.php 
> <https://wi-lab.com/cyberchair/2023/bibm23/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2023/bibm23/scripts/ws_submit.php>
>
> *Publication*
>
> All accepted papers will be published in the BIBM proceedings and IEEE 
> Xplore Digital Library.
>
> *
> *
>
> *Contact*
>
> Prof. Larbi Boubchir /(Workshop Chair/), University of Paris 8, France
> E-mail: larbi.boubchir at univ-paris8.fr 
> <mailto:larbi.boubchir at univ-paris8.fr>
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20230911/3bdf6bd2/attachment.html>