<div dir="ltr"><div dir="ltr"><p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;">Register today and take advantage of the special rates available for individuals attending the 5</span><span style="font-stretch:normal;line-height:normal">^th</span><span style="-webkit-font-kerning: none;"> International Conference on machine Learning, Optimization & Data science LOD - An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders, this September 10-13 at the Certosa di Pontignano.</span><br></p><p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span></p>
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<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;"><a href="https://lod2019.icas.xyz">https://lod2019.icas.xyz</a></span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="text-decoration:underline"><a href="mailto:lod@icas.xyz">lod@icas.xyz</a></span><span style="-webkit-font-kerning: none;"> </span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;">LOD 2019 is a great opportunity to present your work and congregate with leaders and experts in the Deep Learning, Artificial Intelligence and Big Data. Feel free to check out our keynote speakers:</span></p>
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<ul>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Michael Bronstein, Imperial College London, UK</span></li>
</ul>
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<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Marco Gori, University of Siena, Italy</span></li>
</ul>
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<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Arthur Gretton, UCL, UK </span></li>
</ul>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
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<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Arthur Guez Google DeepMind, Montreal, UK</span></li>
</ul>
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<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Kaisa Miettinen, University of Jyväskylä, Finland</span></li>
</ul>
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<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Jan Peters, Technische Universitaet Darmstadt</span></li>
</ul>
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<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Mauricio Resende, Amazon, USA</span></li>
</ul>
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<ul>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Richard E. Turner, University of Cambridge, UK</span></li>
</ul>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;">Submit your Paper/Abstract/Poster by June 30</span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;"><a href="https://easychair.org/conferences/?conf=lod2019">https://easychair.org/conferences/?conf=lod2019</a></span></p>
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<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;">Sessions</span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<ul>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">LOD 2019 Big-Data Challenge:  Our sponsor, Neodata Lab, will offer a prize of €2000 to the applicant who develops the most accurate algorithm to process an “approximate SQL-like query answering system” on a real dataset.  </span></li>
</ul>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;"><a href="https://lod2019.icas.xyz/industrial-session/">https://lod2019.icas.xyz/industrial-session/</a></span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<ul>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Deep Neuroevolution Workshop</span></li>
</ul>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;"><a href="https://lod2019.icas.xyz/deep-neuroevolution-workshop/">https://lod2019.icas.xyz/deep-neuroevolution-workshop/</a></span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<ul>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Multi-Task Learning</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Reinforcement Learning</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Deep Learning</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Generative Adversarial Networks</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Networks with Memory</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Learning from Less Data and Building Smaller Models</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Simulation Environments to understand how AI Systems Learn</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Chatbots and Conversational Agents</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Data Science at Scale & Data in the Cloud</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Urban Informatics & Data-Driven Modeling of Complex Systems</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Data-centric Engineering</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Data Security, Traceability of Information & GDPR</span></li>
<li style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="font-stretch:normal;line-height:normal;font-family:Symbol"></span><span style="-webkit-font-kerning: none;">Economic Data Science</span></li>
</ul>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0);min-height:11px"><span style="-webkit-font-kerning: none;"></span><br></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="-webkit-font-kerning: none;"><a href="https://lod2019.icas.xyz">https://lod2019.icas.xyz</a></span></p>
<p style="margin:0px;font-stretch:normal;line-height:normal;font-family:"Times New Roman";color:rgb(0,0,0)"><span style="text-decoration:underline"><a href="mailto:lod@icas.xyz">lod@icas.xyz</a></span><span style="-webkit-font-kerning: none;"> </span></p><div><span style="-webkit-font-kerning: none;"><br></span></div></div></div>