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<b>Special Issue "Machine Learning for EEG Signal Processing
(MLESP 2018)"</b><br>
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<div class="moz-forward-container"><font color="#3333ff"><a class="moz-txt-link-freetext" href="https://www.mdpi.com/journal/computers/special_issues/MLESP_2018">https://www.mdpi.com/journal/computers/special_issues/MLESP_2018</a></font><br>
<p>The 1<sup>st</sup> 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:<a class="external"
href="https://mlesp2018.sciencesconf.org/">
https://mlesp2018.sciencesconf.org/</a>
</p>
<p>Selected papers which presented at the workshop are
invited to submit their extended versions to this
Special Issue of the journal <em>Computers</em> 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 <em>Computers</em> and collected together in this
Special Issue website. There are no page limitations for
this journal.</p>
<p>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.</p>
<p>The main topics include, but are not limited to:</p>
<ul>
<li>EEG signal processing and analysis</li>
<li>Time-frequency EEG signal analysis</li>
<li>Signal processing for EEG Data</li>
<li>EEG feature extraction and selection</li>
<li>Machine learning for EEG signal processing</li>
<li>EEG classification and clustering</li>
<li>EEG abnormalities detection (e.g. Epileptic seizure,
Alzheimer's disease, etc.)</li>
<li>Machine learning in EEG Big Data</li>
<li>Deep Learning for EEG Big Data</li>
<li>Neural Rehabilitation Engineering</li>
<li>Brain-Computer Interface</li>
<li>Neurofeedback</li>
<li>Biometrics with EEG data</li>
<li>Related applications</li>
</ul>
<p>Dr. Larbi Boubchir<br>
<em>Guest Editor</em></p>
<br>
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