Special Issue "Machine Learning for EEG Signal Processing (MLESP 2018)"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 April 2019)

Special Issue Editor

Guest Editor
Assoc. Prof. Dr. Larbi Boubchir

LIASD research Lab. – University of Paris 8, 2 Rue de la Liberté, 93526 Saint-Denis, France
Website | E-Mail
Interests: biomedical signal processing; EEG; image processing; machine learning; brain–computer interface; biometrics

Special Issue Information

Dear colleagues,

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:

https://mlesp2018.sciencesconf.org/

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
  • Neurofeedback
  • Biometrics with EEG data
  • Related applications

Dr. Larbi Boubchir
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Electroencephalography (EEG)
  • Biomedical signal processing
  • Machine learning
  • Biomedical engineering

Published Papers

There is no accepted submissions to this special issue at this moment.
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