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<span style="font-family: tahoma, arial, helvetica, sans-serif;
font-size: small; color: #000000;"><span style="font-size:
small; background-color: #e0ffff;"><span
style="background-color: #ffffff;"><b>CALL FOR PAPERS</b><br>
</span></span></span>
<p><span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small; color: #000000;"><span
style="font-size: small; background-color: #e0ffff;"><span
style="background-color: #ffffff;">The 2<sup>nd</sup>
international workshop on Machine Learning for EEG
Signal Processing (MLESP 2021, </span></span></span><span
style="font-family: tahoma, arial, helvetica, sans-serif;
font-size: small; color: #000000;"><span style="font-size:
small; background-color: #e0ffff;"><span
style="background-color: #ffffff;"><font color="blue"><span
style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span
style="font-size: small; background-color:
#e0ffff;"><span style="background-color: #ffffff;"><a
class="moz-txt-link-freetext"
href="https://mlesp2021.sciencesconf.org/"
moz-do-not-send="true">https://mlesp2021.sciencesconf.org/</a></span></span></span></font>)
will be held online, from 9 to 12 december 2021, in
conjunction with the IEEE International Conference on
Bioinformatics and Biomedicine (IEEE BIBM 2021, <font
color="blue"><a class="moz-txt-link-freetext"
href="https://ieeebibm.org/BIBM2021/"
moz-do-not-send="true">https://ieeebibm.org/BIBM2021/</a></font>)<br>
</span> </span></span></p>
<p><span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small; color: #3366ff;"><strong>Overview</strong></span></p>
<p style="text-align: justify;"><span style="font-size: small;
font-family: tahoma, arial, helvetica, sans-serif;">EEG
signal processing involves the analysis and treatment of the
electrical activity of the brain measured with
Electroencephalography, or EEG, in order to provide useful
information on which decisions can be made. The recent
advances in signal processing and machine learning for EEG
data processing have brought an impressive progress to solve
several practical and challenging problems in many areas
such as healthcare, biomedicine, biomedical engineering, BCI
and biometrics. The aim of this workshop is to present and
discuss the recent advances in machine learning for EEG
signal analysis and processing. We are inviting original
research work, as well as significant work-in-progress,
covering novel theories, innovative methods, and meaningful
applications that can potentially lead to significant
advances in EEG data analytics. This workshop is an
opportunity to bring together academic and industrial
scientists to discuss the recent advances. </span></p>
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<p><span style="font-size: small; font-family: tahoma,
arial, helvetica, sans-serif; font-weight: bold;
color: #3366ff;">The topics of interest include but
not limited to: </span></p>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- EEG signal processing
and analysis</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Time-frequency EEG
signal analysis</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Signal processing for
EEG Data</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- EEG feature extraction
and selection</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Machine learning for
EEG signal processing</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- EEG classification and
Hierarchical clustering</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- EEG abnormalities
detection (e.g. Epileptic seizure, Alzheimer's disease,
etc.)</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Machine learning in EEG
Big Data</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Deep Learning for EEG
Big Data</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Neural Rehabilitation
Engineering</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Brain-Computer
Interface</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Neurofeedback</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- EEG-based Biometrics</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;">- Related applications </span></div>
</div>
</div>
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<p><span style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif; font-weight: bold; color: #3366ff;">Important
Dates </span></p>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="color: #ff0000;">Oct.
25, 2021 (11:59 pm CST):</span> Due date for full workshop
papers submission</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="color: #ff0000;">Nov.
5, 2021:</span> Notification of paper acceptance to
authors</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="color: #ff0000;">Nov.
15, 2021:</span> Camera-ready of accepted papers</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="color: #ff0000;">Dec
3-6, 2021:</span> Workshops</span></div>
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helvetica, sans-serif; font-size: small;"><br>
</span></div>
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<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="font-size:
small; font-family: tahoma, arial, helvetica, sans-serif;
font-weight: bold; color: #3366ff;">Paper Submission<br>
</span></span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;"><br>
</span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;">- Please submit a
full-length paper (up to 8 page IEEE 2-column format)
through the online submission system. You can download the
format instruction here: <br>
<font color="blue"><a class="moz-txt-link-freetext"
href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html"
moz-do-not-send="true">http://www.ieee.org/conferences_events/conferences/publishing/templates.html</a></font></span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;">- Electronic
submissions in PDF format are required. <br>
<br>
</span><span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="font-family:
tahoma, arial, helvetica, sans-serif; font-size: small;"><span
style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif; font-weight: bold; color:
#3366ff;">Online Submission<br>
</span></span></span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;"><span
style="font-family: tahoma, arial, helvetica, sans-serif;
font-size: small;"><span style="font-size: small;
font-family: tahoma, arial, helvetica, sans-serif;
font-weight: bold; color: #3366ff;"></span></span><font
color="blue"><br>
</font></span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;"><font color="blue"><a
class="moz-txt-link-freetext"
href="https://wi-lab.com/cyberchair/2021/bibm21/index.php"
moz-do-not-send="true">https://wi-lab.com/cyberchair/2021/bibm21/index.php</a></font><br>
</span><br>
<span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="font-family:
tahoma, arial, helvetica, sans-serif; font-size: small;"><span
style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif; font-weight: bold; color:
#3366ff;">Publication</span></span></span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;"><span
style="font-family: tahoma, arial, helvetica, sans-serif;
font-size: small;"><span style="font-size: small;
font-family: tahoma, arial, helvetica, sans-serif;
font-weight: bold; color: #3366ff;"></span></span><br>
</span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;">All accepted
papers will be published in the BIBM proceedings and IEEE
Xplore Digital Library.<br>
<br>
</span><span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="font-family:
tahoma, arial, helvetica, sans-serif; font-size: small;"><span
style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small;"><span style="font-size:
small; font-family: tahoma, arial, helvetica,
sans-serif; font-weight: bold; color: #3366ff;">Journal
Special Issue</span></span></span><br>
</span></div>
<div class="column"><span style="font-family: tahoma, arial,
helvetica, sans-serif; font-size: small;"><br>
</span></div>
<span style="font-family: tahoma, arial, helvetica, sans-serif;
font-size: small;">Selected high-quality papers will be
invited for publication in a special issue in highly respected
journal.</span><br>
<p><span style="font-family: tahoma, arial, helvetica,
sans-serif; font-size: small; color: #3366ff;"><strong>Contact</strong></span></p>
<span style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif;">Prof. Larbi Boubchir <i>(</i></span><span
style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif;"><i><span style="font-size: small;
font-family: tahoma, arial, helvetica, sans-serif;">Workshop
Chair</span></i>),</span><span style="font-size: small;
font-family: tahoma, arial, helvetica, sans-serif;"><span
style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif;"> University of Paris 8, France</span></span><br>
<span style="font-size: small; font-family: tahoma, arial,
helvetica, sans-serif;">E-mail: <a
class="moz-txt-link-abbreviated"
href="mailto:larbi.boubchir@univ-paris8.fr"
moz-do-not-send="true">larbi.boubchir@univ-paris8.fr</a></span>
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