<div dir="ltr"><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Call for Papers<u></u><u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></b></p><h1 style="margin:0cm;break-after:avoid;font-size:16pt;font-family:"Calibri Light",sans-serif;color:rgb(47,84,150);font-weight:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Journal:  Engineering Applications of Artificial Intelligence, Elsevier (IF: 6.2)<u></u><u></u></span></b></h1><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Special Issue Title:  Randomized Deep and Shallow Learning Algorithms<u></u><u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">We welcome submissions on non-randomized algorithms with significant comparisons against randomized algorithms too.<u></u><u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Aim and Scope:<u></u><u></u></span></b></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></b></p><p class="MsoNormal" style="text-align:justify"><span lang="EN-IN" style="font-family:Arial,sans-serif">Randomization-based learning algorithms have received considerable attention from academics, researchers, and domain workers because randomization-based neural networks can be trained by non-iterative approaches possessing closed-form solutions. Those methods are in general computationally faster than iterative solutions and less sensitive to parameter settings. Even though randomization-based non-iterative methods have attracted much attention in recent years, their deep structures have not been sufficiently developed nor benchmarked. This special issue aims to bridge this gap.<u></u><u></u></span></p><p class="MsoNormal" style="text-align:justify"><span lang="EN-IN" style="font-family:Arial,sans-serif"><u></u> <u></u></span></p><p class="MsoNormal" style="text-align:justify"><span lang="EN-IN" style="font-family:Arial,sans-serif">The first target of this special issue is to present the recent advances of randomization- based learning methods. Randomization based neural networks usually offer non-iterative closed form solutions. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on randomization-based and/or non-iterative algorithms, it is also expected that this special issue will cover some practical applications, present some new ideas and identify directions for future studies.<u></u><u></u></span></p><p class="MsoNormal" style="text-align:justify"><span lang="EN-IN" style="font-family:Arial,sans-serif"><u></u> <u></u></span></p><p class="MsoNormal" style="text-align:justify"><span lang="EN-IN" style="font-family:Arial,sans-serif">Original contributions as well as comparative studies among randomization-based and non-randomized-based methods are welcome with unbiased literature review and comparative studies. Typical deep/shallow paradigms include (but not limited to) random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), CNN with randomization, </span><span lang="EN-IN" style="font-family:Arial,sans-serif">broad learning system (BLS), stochastic configuration network (SCN) </span><span lang="EN-IN" style="font-family:Arial,sans-serif">and so on. All contributions must include sufficient application contents.<u></u><u></u></span></p><p class="MsoNormal" style="text-align:justify"><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Topics:<u></u><u></u></span></b></p><p class="MsoNormal"><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">The topics</span><span lang="EN-IN" style="font-family:Arial,sans-serif"> of the special issue include (with randomization-based methods), but are not limited to:</span><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Randomized convolutional neural networks<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Randomized internal representation learning<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Regression, classification and time series analysis by randomization-based methods<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. with randomization<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Feedforward, recurrent, multilayer, deep and other structures with randomization<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Ensemble learning with randomization<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Moore-Penrose pseudo inverse, SVD and other solution procedures.<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Gaussian process regression<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Randomization-based methods using novel fuzzy approaches<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Randomization-based methods for large-scale problems with and without kernels<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Theoretical analysis of randomization-based methods<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Comparative studies with competing methods without randomization<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 21pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Wingdings">l<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">  </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Applications of randomized methods and information fusion in areas such as power systems, biomedical, finance, economics, signal processing, big data and all other relevant areas<u></u><u></u></span></p><p style="text-indent:0cm;margin:0cm 0cm 0cm 21pt;text-align:justify;font-size:10.5pt;font-family:Calibri,sans-serif"><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Submission Guideline:<u></u><u></u></span></b></p><p><span lang="EN-US" style="font-family:Arial,sans-serif">Papers should be submitted using <span class="gmail-il">EAAI</span>’s online submission system: <a href="https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence" target="_blank">https://www.journals.elsevier.com/engineering-applications-of-artificial-intelligence</a>. When submitting your manuscript please select the article type "SI: Randomization-based learning algorithms".</span><span style="color:rgb(5,99,193);text-decoration-line:underline"><span lang="EN-US" style="color:rgb(34,34,34);text-decoration-line:none"><u></u><u></u></span></span></p><p class="MsoNormal"><b><u><span lang="EN-IN" style="font-size:16pt;font-family:Arial,sans-serif">Important Dates</span></u></b><b><u><span lang="EN-IN" style="font-size:16pt"><u></u><u></u></span></u></b></p><p style="margin:0cm 0cm 0cm 36pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Manuscript submission due: April 30, 2022<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 36pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">First review completed: July 15, 2022<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 36pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Revised manuscript due: Aug 15, 2022<u></u><u></u></span></p><p style="margin:0cm 0cm 0cm 36pt;text-align:justify;text-indent:21pt;font-size:10.5pt;font-family:Calibri,sans-serif"><u></u><span lang="EN-US" style="font-size:12pt;font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       </span></span><u></u><span lang="EN-US" style="font-size:12pt;font-family:Arial,sans-serif">Final decisions to authors: Oct 30, 2022<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><u></u> <u></u></span></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-family:Arial,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Guest Editors:<u></u><u></u></span></b></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif"><u></u> <u></u></span></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Dr. P.N. Suganthan, IEEE Fellow<u></u><u></u></span></b></p><p class="MsoNormal"><a name="m_8446447565680473707_m_-8341233326510094917__Hlk93527626"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore<u></u><u></u></span></a></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Email: </span><a href="mailto:epnsugan@ntu.edu.sg" target="_blank"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">epnsugan@ntu.edu.sg</span></a><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif"><u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Website: </span><a href="https://www3.ntu.edu.sg/home/epnsugan/" target="_blank"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">https://www3.ntu.edu.sg/home/epnsugan/</span></a><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif"><u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif"><u></u> <u></u></span></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Dr. M. Tanveer, IEEE Senior Member<u></u><u></u></span></b></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Department of Mathematics, Indian Institute of Technology Indore<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Email: </span><a href="mailto:mtanveer@iiti.ac.in" target="_blank"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">mtanveer@iiti.ac.in</span></a><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif"><u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Website: </span><a href="http://iiti.ac.in/people/~mtanveer/" target="_blank"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">http://iiti.ac.in/people/~mtanveer/</span></a><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif"><u></u><u></u></span></p><p class="MsoNormal"><span style="color:rgb(5,99,193);text-decoration-line:underline"><span lang="EN-IN"><u></u><span style="text-decoration-line:none"> </span><u></u></span></span></p><p class="MsoNormal"><b><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Prof. Chin-Teng Lin, IEEE Fellow, IFSA Fellow</span><span lang="EN-IN"><u></u><u></u></span></b></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Director, Computational Intelligence and Brain Computer Interface Centre<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Co-Director, Centre for AI (CAI)<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">University of Technology Sydney, Australia<u></u><u></u></span></p><p class="MsoNormal"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Email: </span><a href="mailto:Chin-Teng.Lin@uts.edu.au" target="_blank"><span lang="EN-IN" style="font-size:11pt;font-family:Arial,sans-serif">Chin-Teng.Lin@uts.edu.au</span></a></p><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div>----------------------------------------------------------<br>Dr. M. Tanveer (General Chair - ICONIP 2022)<br>Associate Professor and Ramanujan Fellow<br>Department of Mathematics<br>Indian Institute of Technology Indore<br>Email: <a href="mailto:mtanveer@iiti.ac.in" target="_blank">mtanveer@iiti.ac.in</a><br>Mobile: +91-9413259268<br>Homepage: <a href="http://iiti.ac.in/people/~mtanveer/" target="_blank">http://iiti.ac.in/people/~mtanveer/</a></div><div><br></div><div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Associate Editor: IEEE TNNLS (IF: 10.45).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Associate Editor: Pattern Recognition, Elsevier (IF: 7.74).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Action Editor: Neural Networks, Elsevier  (IF: 8.05).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Board of Editors: Engineering Applications of AI, Elsevier (IF: 6.21).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Associate Editor: Neurocomputing, Elsevier  (IF: 5.72).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Editorial Board: Applied Soft Computing, Elsevier  (IF: 6.72).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Associate Editor: Cognitive Computation, Springer (IF: 5.42).</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif"><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px">Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.012).</span></div></div><div><span style="color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:15.4px"><br></span></div><div><br></div></div></div></div></div>