<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Call for Papers </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Empowering Deep Learning Models </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018, the International Joint Conference on Neural Networks (IJCNN) 2018 </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><a href="http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8" target="_blank" rel="nofollow" style="margin: 0px; padding: 0px; border: 0px; text-decoration: none; color: rgb(102, 17, 204); cursor: pointer; font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">http://www.ecomp.poli.br/~<wbr class="">wcci2018/ijcnn-sessions/#<wbr class="">ijcnn8</a><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Paper submission deadline: 15 January 2018 </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Description </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, computer vision, drug discovery, genomics and many others. </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Scope and Topics The goal of this special session is to provide a forum for focused discussions on new extensions of deep learning models and techniques, and to gain a deeper understanding of the difficulties and limitations associated with state-of-the-art approaches and algorithms. Practitioners should provide practical insights to the theoreticians, which in turn, should supply theoretical insights and guarantees, further strengthening and sharpening practical intuitions and wisdom. </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Examples of these possible extensions are: </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Multimodal and Multitask Deep Learning </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Deep Transfer Learning </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Deep Recurrent and Recursive Neural Networks </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Deep Learning on Structured Data </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Interpretability of Deep Learning </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Private and Federated Deep Learning </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Generative and Adversarial Deep Learning </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""> -Randomized Deep Learning (Deep ELM, Deep ESN, Deep Reservoir Computing) </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of deep learning and other fields of research in solving real world problems. Both theoretical and practical results (e.g. Social Data Analysis, Speech, Natural Language Processing, Cybersecurity) are welcome to our special session. </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">This special session is supported by the IEEE Task Force on Deep Learning. </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Important dates </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Paper Submission Deadline: 15 January 2018 </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Paper Acceptance Notification Date: 15 March 2018 </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Final Paper Submission and Early Registration Deadline: 1st May 2018 </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">IEEE WCCI 2018: 08-13 July 2018 </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Special Session Organizers </span><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><br style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class=""><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-size: 13px; font-variant-ligatures: normal; orphans: 2; widows: 2; background-color: rgb(255, 255, 255);" class="">Nicolò Navarin (University of Padova, Italy), Luca Oneto (University of Genoa, Italy), Luca Pasa (Istituto Italiano di Tecnologia) and Alessandro Sperduti (University of Padova, Italy).</span><div class=""><div style="orphans: 2; widows: 2;" class=""><font color="#222222" face="Arial, Helvetica, sans-serif" size="2" class=""><span style="background-color: rgb(255, 255, 255);" class=""><br class=""></span></font></div><div class="">
<div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px;">—<br class="">Nicolò Navarin, PhD<br class=""><br class="">Research fellow<br class="">University of Padova - Department of Mathematics<br class="">via Trieste 63, 35121 Padova - Italy<br class="">Tel. +39 049 8271476<br class=""><a href="mailto:nnavarin@math.unipd.it" class="">E-mail: nnavarin@math.unipd.it</a><br class="">Web: http://www.math.unipd.it/~nnavarin</div></div>
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