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<div class="WordSection1">
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">PDF CFP available from: <a href="https://github.com/P-N-Suganthan/CFP">
https://github.com/P-N-Suganthan/CFP</a><o:p></o:p></p>
<p style="margin-bottom:0cm;background:white"><span lang="EN-US" style="font-size:14.0pt;color:#222222">To submit to this special session, please use this link:</span><span lang="EN-US" style="font-size:14.0pt;color:black">
</span><span lang="EN-US" style="color:black"><a href="https://edas.info/newPaper.php?c=30081&track=116093"><span style="font-family:"Courier New"">https://edas.info/newPaper.php?c=30081&track=116093</span></a></span><span lang="EN-US" style="font-family:"Courier New";color:#222222">
<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><a href="https://www.bing.com/ck/a?!&&p=6a4d92a9b849f8eeJmltdHM9MTY2ODI5NzYwMCZpZ3VpZD0yZTg3NWZlZS01YzA0LTYxNDItMzJjMy00ZjRmNWRiNjYwODgmaW5zaWQ9NTIwMA&ptn=3&hsh=3&fclid=2e875fee-5c04-6142-32c3-4f4f5db66088&psq=IJCNN&u=a1aHR0cHM6Ly8yMDIzLmlqY25uLm9yZy8&ntb=1" target="_blank"><b><span style="font-size:13.0pt;line-height:105%;font-family:"Arial",sans-serif;color:windowtext;text-decoration:none">International
Joint Conference on Neural Networks 2023</span></b></a><b><span style="font-size:13.0pt;line-height:105%;font-family:"Arial",sans-serif">
</span></b><b><span style="font-size:13.0pt;line-height:105%;font-family:"Arial",sans-serif;mso-fareast-language:ZH-CN"><o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:13.0pt;line-height:105%;font-family:"Arial",sans-serif">Call for Papers for Special Session on</span></b><b><span style="font-size:13.0pt;line-height:105%;font-family:"Arial",sans-serif;mso-fareast-language:ZH-CN"><o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:14.0pt;line-height:105%">Advances in deep and shallow machine learning algorithms for biomedical data and imaging</span></b><b><span style="font-size:14.0pt;line-height:105%;font-family:"Arial",sans-serif;color:black;background:white"><o:p></o:p></span></b></p>
<p class="Default"><b><u><span lang="EN-GB" style="font-size:10.0pt">Aim and Scope:<o:p></o:p></span></u></b></p>
<p class="Default"><b><span lang="EN-GB" style="font-size:10.0pt"><o:p> </o:p></span></b></p>
<p class="Default" style="text-align:justify"><span lang="EN-GB" style="font-size:10.0pt">Deep learning is one of the most important revolutions in the field of artificial intelligence over the last decade. It has achieved great success in different tasks in
computer vision, image processing, biomedical analysis and related fields. Researchers in deep and shallow machine learning including those working in computer vision, image processing, biomedical analysis and related fields when tied with experienced clinicians
can play a significant role in understanding and working on complex medical data which ultimately improves patient care. To develop a novel deep or shallow machine learning algorithm specific to medical data is a challenge and need of the hour. Healthcare
and biomedical sciences have become data-intensive fields, with a strong need for sophisticated data mining methods to extract the knowledge from the available information. Biomedical data contains several challenges in data analysis, including high dimensionality,
class imbalance and low numbers of samples. Although the current research in this field has shown promising results, several research issues need to be explored as follows. There is a need to explore novel feature selection methods to improve predictive performance
along with interpretation, and to explore large scale data in biomedical sciences.
<o:p></o:p></span></p>
<p class="MsoNoSpacing" style="text-align:justify"><span lang="EN-GB" style="font-size:10.0pt;font-family:"Arial",sans-serif;color:black">This special session aims to bring together the current research progress (from both academia and industry) on novel machine
learning methods to address the challenges to biomedical complex data. Special attention will be devoted to handle feature selection, class imbalance, and data fusion in biomedical and machine learning applications. It will attract medical experts who have
access to interesting sources of data but lack the expertise in using machine learning techniques effectively.
<o:p></o:p></span></p>
<p class="Default" style="text-align:justify"><b><span lang="EN-GB" style="font-size:10.0pt"><o:p> </o:p></span></b></p>
<p class="Default"><b><span lang="EN-GB" style="font-size:10.0pt">Topics:<o:p></o:p></span></b></p>
<p class="Default" style="text-align:justify"><b><span lang="EN-GB" style="font-size:10.0pt"><o:p> </o:p></span></b></p>
<p class="Default" style="text-align:justify"><span lang="EN-GB" style="font-size:10.0pt">The topics relevant to the special session include (but are not limited to) the following topics:
<o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Computer aided detection and diagnosis<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Machine learning methods applied to biomedical data<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Deep learning for neuroimaging
<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Biomedical image classification<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Evolutionary computing in bioinformatics
<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Pattern recognition for imaging and genomics<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Big data analytics on biomedical applications<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Improved algorithms for multimodality neuroimaging data fusion systems<o:p></o:p></span></li><li class="Default" style="margin-left:-18.0pt;mso-list:l0 level1 lfo6"><span lang="EN-GB" style="font-size:10.0pt">Clustering and classification algorithms for Healthcare.<o:p></o:p></span></li></ul>
<p class="Default"><b><span lang="EN-GB" style="font-size:10.0pt"><o:p> </o:p></span></b></p>
<p class="Default"><b><u><span lang="EN-GB" style="font-size:10.0pt">Guest Editors:
<o:p></o:p></span></u></b></p>
<p class="Default" style="margin-left:18.0pt;text-align:justify"><span lang="EN-GB" style="font-size:5.0pt;color:black"><o:p> </o:p></span></p>
<p class="Default"><b><span lang="EN-GB" style="font-size:10.0pt">Mohammad Tanveer</span></b><span lang="EN-GB" style="font-size:10.0pt">, Indian Institute of Technology Indore, India,
<o:p></o:p></span></p>
<p class="Default"><span lang="EN-GB" style="font-size:10.0pt">Email: </span><span lang="EN-GB"><a href="mailto:mtanveer@iiti.ac.in"><span style="font-size:10.0pt;color:black;text-decoration:none">mtanveer@iiti.ac.in</span></a></span><span lang="EN-GB" style="font-size:10.0pt">,
Homepage: </span><span lang="EN-GB"><a href="http://people.iiti.ac.in/~mtanveer/"><span style="font-size:10.0pt;color:black;text-decoration:none">http://people.iiti.ac.in/~mtanveer/</span></a></span><span lang="EN-GB" style="font-size:10.0pt">
<o:p></o:p></span></p>
<p class="Default"><b><span lang="EN-GB" style="font-size:10.0pt">Yu-dong Zhang</span></b><span lang="EN-GB" style="font-size:10.0pt">, University of Leicester, UK<o:p></o:p></span></p>
<p class="Default"><span lang="EN-GB" style="font-size:10.0pt">Email: </span><span lang="EN-GB"><a href="mailto:yudongzhang@ieee.org,%20yudong.zhang@le.ac.uk"><span style="font-size:10.0pt;color:black;text-decoration:none">yudong.zhang@le.ac.uk</span></a></span><span lang="EN-GB" style="font-size:10.0pt">,
Homepage: <a href="https://le.ac.uk/people/yudong-zhang">https://le.ac.uk/people/yudong-zhang</a><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#222222">P. N. Suganthan</span></b><span style="font-family:"Arial",sans-serif;color:#222222">, Qatar
</span><span style="font-family:"Arial",sans-serif;color:#222222">University. </span>
<a href="mailto:p.n.suganthan@qu.edu.qa"><span style="font-family:"Arial",sans-serif">p.n.suganthan@qu.edu.qa</span></a><span style="font-family:"Arial",sans-serif;color:#222222">
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<p class="MsoNormal"><b><u><span style="font-size:16.0pt;line-height:105%;font-family:"Arial",sans-serif">Important Dates</span></u></b><b><span style="font-size:16.0pt;line-height:105%;mso-fareast-language:ZH-CN"><o:p></o:p></span></b></p>
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<span style="font-size:12.0pt;font-family:"Arial",sans-serif">Jan 31, 2023– First Paper submission deadline (Extension may be offered)<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:#222222;margin-bottom:0cm;margin-left:0cm;mso-add-space:auto;text-align:justify;line-height:normal;mso-list:l1 level1 lfo5">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif">March 31, 2023 – Paper acceptance notification<o:p></o:p></span></li><li class="MsoListParagraphCxSpLast" style="color:#222222;margin-bottom:0cm;margin-left:0cm;mso-add-space:auto;text-align:justify;line-height:normal;mso-list:l1 level1 lfo5">
<span style="font-size:12.0pt;font-family:"Arial",sans-serif">June 18-23, 2023– Gold Coast Convention Centre, Queensland, Australia<o:p></o:p></span></li></ul>
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<p class="MsoNormal"><a name="_Hlk123996661"><b><u><span style="font-size:16.0pt;line-height:105%;font-family:"Arial",sans-serif;color:black;background:white">Paper Submission</span></u></b></a><span style="mso-bookmark:_Hlk123996661"><b><u><span style="font-size:16.0pt;line-height:105%;font-family:"Arial",sans-serif;color:black;background:white;mso-fareast-language:ZH-CN"><o:p></o:p></span></u></b></span></p>
<p style="text-align:justify;background:white"><span style="mso-bookmark:_Hlk123996661"><span lang="EN-US" style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#222222">Papers submitted to this Special Session are reviewed according to the same rules
as the submissions to the regular sessions of IJCNN 2023. Authors who submit papers to this session are invited to mention it in the form during the submission. Submissions to regular and special sessions follow identical format, instructions, deadlines, and
review procedures. Please, for further information and news refer to the IJCNN website:
</span></span><a href="https://2023.ijcnn.org/"><span style="mso-bookmark:_Hlk123996661"><span lang="EN-US" style="font-size:10.5pt;font-family:"Arial",sans-serif">https://2023.ijcnn.org/</span></span><span style="mso-bookmark:_Hlk123996661"></span></a><span style="mso-bookmark:_Hlk123996661"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#222222">
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<p style="margin-bottom:0cm;background:white"><span style="mso-bookmark:_Hlk123996661"><span lang="EN-US" style="font-size:14.0pt;color:#222222">To submit to this special session, please use this link:<o:p></o:p></span></span></p>
<p style="margin-bottom:0cm;background:white"><span style="mso-bookmark:_Hlk123996661"></span><a href="https://edas.info/newPaper.php?c=30081&track=116093"><span style="mso-bookmark:_Hlk123996661"><span lang="EN-US" style="font-family:"Courier New"">https://edas.info/newPaper.php?c=30081&track=116093</span></span><span style="mso-bookmark:_Hlk123996661"></span></a><span style="mso-bookmark:_Hlk123996661"><span style="font-family:"Courier New";color:#222222">
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