MLESP 2019 : Special Issue on Machine Learning for EEG Signal Processing (MLESP 2018) - Computers (MDPI journal)
Call For Papers
Special Issue: Machine Learning for EEG Signal Processing (MLESP 2018) - Computers (MDPI journal)
The 1st International Workshop on Machine Learning for EEG Signal Processing (MLESP 2018) will be held in Madrid, Spain, 3–6 December, 2018. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. For more information about the workshop, please use this link:
Selected papers which presented at the workshop are invited to submit their extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with at least 40% extension of new results. All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in open access format in Computers and collected together in this Special Issue website. There are no page limitations for this journal.
We are also inviting original research work covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics.
The main topics 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 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
- Biometrics with EEG data
- Related applications
Assoc. Prof. Dr. Larbi Boubchir
LIASD research Lab., University of Paris 8, France
Email: larbi.boubchir@ ai.univ-paris8.fr
About the journal
Computers (ISSN 2073-431X) is an international scientific peer-reviewed open access journal of computer science, including computer and network architecture and computer–human interaction as its main foci, published quarterly online by MDPI.
Open Access: free for readers, with article processing charges (APC) paid by authors or their institutions.
High visibility: Indexed in the Emerging Sources Citation Index (ESCI - Web of Science), Inspec (IET) and DBLP. To be added in Scopus from Vol. 7 (2018).
Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 19 days after submission; acceptance to publication is undertaken in 4.7 days (median values for papers published in the first six months of 2018).