CALL FOR PAPERS
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/)
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 analysisImportant Dates
Oct. 25, 2021 (11:59 pm CST): Due date for full workshop papers submissionContact
Prof. Larbi Boubchir (Workshop Chair), University of Paris 8, France