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Dear colleagues,
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<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/"
moz-do-not-send="true">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"
moz-do-not-send="true">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"
moz-do-not-send="true">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/%7Eboubchir/"
moz-do-not-send="true">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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