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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,
                                        arial, helvetica, sans-serif;
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                                        #000000;"><span
                                          style="font-size: small;
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                                            style="background-color:
                                            #ffffff;">The 3<sup>rd</sup>
                                            international workshop on
                                            Machine Learning for EEG
                                            Signal Processing (MLESP
                                            2022, </span></span></span><span
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                                            style="background-color:
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                                                style="font-family:
                                                tahoma, arial,
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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://mlesp2022.sciencesconf.org/">https://mlesp2022.sciencesconf.org/</a></span></span></span></font>)
                                            will be held in Las Vegas,
                                            USA, from 6 to 9 december
                                            2022, in conjunction with
                                            the IEEE International
                                            Conference on Bioinformatics
                                            and Biomedicine (IEEE BIBM
                                            2022, <a
                                              class="moz-txt-link-freetext"
href="https://ieeebibm.org/BIBM2022/">https://ieeebibm.org/BIBM2022/</a>)<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:
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                                              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;"><strike>Aug. 31,
                                                2022</strike><b><strike> 
                                                </strike></b><b>Sep. 30,
                                                2022</b> (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;">Oct. 31, 2022:</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. 12, 2022:</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 6-9, 2022:</span>
                                            Workshops</span></div>
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                                    <div class="column"> <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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                                    <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>
                                      </span><span style="font-family:
                                        arial, helvetica, sans-serif;
                                        font-size: small;"><a
                                          href="https://www.ieee.org/conferences/publishing/templates.html"
                                          class="moz-txt-link-freetext">https://www.ieee.org/conferences/publishing/templates.html</a></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,
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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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                                      <span style="font-family: tahoma,
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                                          style="font-family: arial,
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                                          font-size: small;"><span
                                            style="color: #0000ff;"><a
                                              class="moz-txt-link-freetext"
href="https://wi-lab.com/cyberchair/2022/bibm22/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2022/bibm22/scripts/ws_submit.php">https://wi-lab.com/cyberchair/2022/bibm22/scripts/submit.php?subarea=S02&undisplay_detail=1&wh=/cyberchair/2022/bibm22/scripts/ws_submit.php</a></span></span>
                                      </span><br>
                                      <span style="font-family: tahoma,
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                                        style="font-family: tahoma,
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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>
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                                        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;
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                                    <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.</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;"></span></span></span></span><span
                                        style="font-family: tahoma,
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                                    <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
                                        moz-txt-link-freetext"
                                        href="mailto:larbi.boubchir@univ-paris8.fr">larbi.boubchir@univ-paris8.fr</a></span>
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