The 2nd International Workshop on Machine Learning for EEG Signal Processing
MLESP 2021
- URL: https://mlesp2021.sciencesconf.org/
- Event Date: 2021-12-09 ~ 2021-12-12
- Submission Date: 2021-08-28
The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021, https://ieeebibm.org/BIBM2021/)
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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 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 :
Aug. 28, 2021 (11:59 pm CST): Due date for full workshop papers submission
Oct 25, 2021: Notification of paper acceptance to authors
Nov. 15, 2021: Camera-ready of accepted papers
Dec 3-6, 2021: Workshops
Paper Submission :
- Please submit a full-length paper (up to 8 page IEEE 2-column format) 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/2021/bibm21/index.php
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 :
Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr
_________________________________
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 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 :
Aug. 28, 2021 (11:59 pm CST): Due date for full workshop papers submission
Oct 25, 2021: Notification of paper acceptance to authors
Nov. 15, 2021: Camera-ready of accepted papers
Dec 3-6, 2021: Workshops
Paper Submission :
- Please submit a full-length paper (up to 8 page IEEE 2-column format) 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/2021/bibm21/index.php
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 :
Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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