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<p>Dear colleagues,</p>
<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:</p>
<p><font color="#3333ff"><a class="external"
href="https://mlesp2018.sciencesconf.org/">https://mlesp2018.sciencesconf.org/</a></font></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><b>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.</b></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>The call for papers is available at this link: <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></p>
<p>Best regards,<br>
</p>
Dr. Larbi Boubchir<br>
<em>Guest Editor</em>
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<small><span style="color: rgb(102, 102, 102);">_____________________________________________________</span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Larbi Boubchir, PhD,
SMIEEE</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Associate Professor</span><br
style="color: rgb(102, 102, 102);">
<br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">LIASD - University of
Paris 8</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">2 rue de la Liberté,
93526
Saint-Denis, France</span><br style="color: rgb(102, 102,
102);">
<span style="color: rgb(102, 102, 102);">Tel. (+33) 1 49 40 67
95</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Email.
<a class="moz-txt-link-abbreviated" href="mailto:larbi.boubchir@ai.univ-paris8.fr">larbi.boubchir@ai.univ-paris8.fr</a></span><br style="color:
rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);"><a class="moz-txt-link-freetext" href="http://www.ai.univ-paris8.fr/~boubchir/">http://www.ai.univ-paris8.fr/~boubchir/</a></span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">_____________________________________________________</span></small><br>
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