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          #ffffff;">[Apologies for multiple postings]</span></span></span><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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                                        #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,
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                                            style="background-color:
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                                                style="font-family:
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                                                font-size: small;"><span
                                                  style="font-size:
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                                                  #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>
                                    <div class="page" title="Page 1">
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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;"><b><span
                                            style="color: #ff0000;">Nov.
                                            1, 2021 (11:59 pm CST):</span></b>
                                        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.
                                          14, 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.
                                          21, 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"><br>
                                      <span style="font-family: tahoma,
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                                          style="font-size: small;
                                          font-family: tahoma, arial,
                                          helvetica, sans-serif;
                                          font-weight: bold; color:
                                          #3366ff;">Paper Submission<br>
                                        </span></span></div>
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                                        style="font-family: tahoma,
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                                    <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;
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                                            style="font-size: small;
                                            font-family: tahoma, arial,
                                            helvetica, sans-serif;
                                            font-weight: bold; color:
                                            #3366ff;">Online Submission<br>
                                          </span></span></span></div>
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                                          color="blue"><br>
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                                        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/scripts/submit.php?subarea=S25&undisplay_detail=1&wh=/cyberchair/2021/bibm21/scripts/ws_submit.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;
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                                            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
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                                            style="font-size: small;
                                            font-family: tahoma, arial,
                                            helvetica, sans-serif;
                                            font-weight: bold; color:
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                                      </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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