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

[Larbi Boubchir]

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

https://www.mdpi.com/journal/computers/special_issues/MLESP_2018

The 1^st 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/ 
<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/


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