<div dir="ltr"><div dir="ltr"><div><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">***************************************************************</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">CALL FOR PAPERS (ESANN 2026)</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">European Symposium on Artificial Neural Networks, Computational</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">Intelligence and Machine Learning: </span><a href="https://www.esann.org/" style="color:rgb(74,110,224);background:transparent;margin-top:0pt;margin-bottom:0pt" target="_blank"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">https://www.esann.org/</span></a></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">More details on the Special Session "Neuro Symbolic AI and Complex Data": </span><a href="https://www.esann.org/special-sessions#session1" style="color:rgb(74,110,224);background:transparent;margin-top:0pt;margin-bottom:0pt" target="_blank"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">https://www.esann.org/special-sessions#session1</span></a></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">Bruges, Belgium, 22-24 April 2026</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">***************************************************************</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"><br></span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">****** Call For Papers ******</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">In the contemporary era of Artificial Intelligence (AI) based decision-making, the application of AI </span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">on</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"> complex data (e.g., nonlinear systems, images, text, sequences, trees, and graphs) has become increasingly pivotal</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"> - </span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">spanning domains such as drug discovery, industrial automation, and decision support systems.</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"> Yet, purely data-driven methods often fall short in domains where structured reasoning, interpretability, and the integration of human knowledge are essential. Neuro-symbolic AI emerges as a promising paradigm that combines the strengths of symbolic reasoning with sub-symbolic learning, bridging the gap between data-driven models and domain-specific knowledge, requirements, and constraints. </span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">This fusion </span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">allows for</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"> more generalizable, explainable, and trustworthy systems</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">, </span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">capable of incorporating</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"> logical rules, expert knowledge, and domain constraints into complex data-driven tasks. </span><span style="background-color:transparent">In this context, Neuro-Symbolic AI holds the potential to enhance model sustainability, robustness, transparency, and alignment with human-centric goals. This additional knowledge can take many forms, for example: </span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Constraint-Aware AI, which </span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">embeds</span><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"> hard or soft logical constraints or verification rules in learning algorithms;</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> AI for science, where (possibly interpretable) models must comply with physical laws or symbolic expressions;</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Socially responsible AI, where ethical frameworks and cultural principles shape decisions;</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Applications (e.g., bioinformatics, software engineering, natural sciences, or legal informatics) where knowledge graphs and ontologies guide data-driven inference.</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">This special session aims to gather valuable contributions and early findings in the field of Neuro-Symbolic AI for Complex Data. Our main objective is to showcase the potential and limitations of new ideas, improvements, and cross-disciplinary integrations of symbolic reasoning and machine learning for solving real-world problems. We welcome contributions across disciplines and encourage submissions that integrate symbolic reasoning, statistical learning, complex data, and domain-specific knowledge to advance the frontiers of AI research.</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"><br></span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">****** Important Dates ******</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">Paper Submissions: 19 November 2025</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">Paper Acceptance Notifications: 23 January 2026</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">Conference: 22-24 April 2026</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt"><br></span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">****** Session Organisers ******</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Luca Oneto (University of Genoa, Italy)</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Nicolò Navarin (University of Padua, Italy)</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Luca Pasa (University of Padua, Italy)</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> Davide Rigoni (University of Padua, Italy)</span></p><p style="background:transparent;color:rgb(14,16,26);margin-top:0pt;margin-bottom:0pt"><em style="background:transparent;margin-top:0pt;margin-bottom:0pt"><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">-> </span></em><span style="background:transparent;margin-top:0pt;margin-bottom:0pt">Davide Anguita (DIBRIS - University of Genova, Italy)</span></p></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><font face="monospace">--------------------------------</font></div><div><font face="monospace">Davide Rigoni, Ph.D.<br></font></div><div><font face="monospace">Postdoctoral Researcher</font></div><div><font face="monospace"><br></font></div><div><span style="color:rgb(34,34,34);font-family:monospace">Machine Learning Group (MLG)</span><br></div><div><font color="#222222" face="monospace">Department of Mathematics "Tullio Levi-Civita"</font></div><div><font face="monospace"><span style="color:rgb(34,34,34)">University of Padova, </span></font><font face="monospace"><font color="#222222">Via Trieste 63, 35131 </font></font><span style="color:rgb(34,34,34);font-family:monospace">Padova (PD) - Italy</span></div><div><font face="monospace"><span style="color:rgb(34,34,34)"><br></span></font></div><div><div><font face="monospace">E-mail: <i><a href="mailto:davide.rigoni.2@phd.unipd.it" target="_blank">davide.rigoni.1@unipd.it</a></i><br>Web: <i><a href="http://www.drigoni.it/" target="_blank">http://www.drigoni.it</a></i><br><br>CONFIDENTIALITY</font></div><div><font face="monospace">This email (including attachments) is intended only for the recipient(s) named above. </font><span style="font-family:monospace">It may contain confidential or privileged information and should not be read, copied, or otherwise used by any other person. </span><span style="font-family:monospace">If you are not the named recipient, please contact me and delete the email from your system. </span><span style="font-family:monospace">Thank you.</span></div></div><div><span style="font-family:monospace">--------------------------------</span><span style="font-family:monospace"><br></span></div></div></div></div></div><div id="m_1405653958398950261DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br><table style="border-top:1px solid #d3d4de"><tbody><tr><td style="width:55px;padding-top:13px"><a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail" target="_blank"><img src="https://s-install.avcdn.net/ipm/preview/icons/icon-envelope-tick-round-orange-animated-no-repeat-v1.gif" alt="" width="46" height="29" style="width:46px;height:29px"></a></td><td style="width:470px;padding-top:12px;color:#41424e;font-size:13px;font-family:Arial,Helvetica,sans-serif;line-height:18px">Privo di virus.<a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail" style="color:#4453ea" target="_blank">www.avast.com</a></td></tr></tbody></table><a href="#m_1405653958398950261_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2" width="1" height="1"></a></div>
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