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    <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;"><b>CALL FOR PAPERS</b><br>
          </span></span></span></p>
    <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/">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/">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>
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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>
    <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: 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">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">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">larbi.boubchir@univ-paris8.fr</a></span>
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