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            style="background-color: #ffffff;">[Apologies for multiple
            postings]<b><br>
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            style="background-color: #ffffff;"><b>CALL FOR PAPERS</b></span></span></span>
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                                <p><span style="font-family: tahoma,
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                                      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>
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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. 10,
                                      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>
                                <div class="column"><span
                                    style="font-family: tahoma, arial,
                                    helvetica, sans-serif; font-size:
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                                  </span></div>
                                <div class="column"><br>
                                  <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:
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                                  </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:
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                                      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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