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    <managingEditor>cstenkamp@gmail.com (Chris Stenkamp)</managingEditor>
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      <title>Automatic Meal Recognition</title>
      <link>https://cstenkamp.de/portfolio/visiolab_job/</link>
      <pubDate>Wed, 15 Mar 2023 00:00:00 +0000</pubDate><author>cstenkamp@gmail.com (Chris Stenkamp)</author>
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      <description>&lt;video controls preload=&#34;auto&#34; width=&#34;100%&#34;  autoplay muted playsinline class=&#34;html-video&#34;&gt;&#xA;    &lt;source src=&#34;https://cstenkamp.de/portfolio/visiolab_job/visiolab_intro.mp4&#34; type=&#34;video/mp4&#34;&gt;&#xA;  &lt;span&gt;Your browser doesn&#39;t support embedded videos, but don&#39;t worry, you can &lt;a href=&#34;https://cstenkamp.de/portfolio/visiolab_job/visiolab_intro.mp4&#34;&gt;download it&lt;/a&gt; and watch it with your favorite video player!&lt;/span&gt;&#xA;&lt;/video&gt;&#xA;&lt;p&gt;&lt;a href=&#34;https://visolab.io/&#34;&gt;VisoLab&lt;/a&gt; is a startup that creates automated self-checkout registers for canteens, where the meals on the tray are recognized on &lt;em&gt;on edge&lt;/em&gt; via an iPad, allowing the customer to pay for their meals within seconds without requiring an employee.&lt;/p&gt;</description>
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      <title>Masterthesis: Explainable Course Recommendation</title>
      <link>https://cstenkamp.de/portfolio/masterthesis/</link>
      <pubDate>Thu, 14 Apr 2022 00:00:00 +0000</pubDate><author>cstenkamp@gmail.com (Chris Stenkamp)</author>
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      <description>&lt;p&gt;For this thesis, I created a Conceptual Space from Course Descriptions for explainable Recommendation, in a highly performant pipeline on the university-grid.&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Sub-Pages:&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;ul&gt;&#xA;&lt;li&gt;&lt;a href=&#34;https://cstenkamp.de/portfolio/digital/masterthesis_/long_intro&#34;&gt;High-Level Intro&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;https://cstenkamp.de/portfolio/digital/masterthesis_/thesistext&#34;&gt;Thesistext&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;https://cstenkamp.de/portfolio/digital/masterthesis_/snakemake_grid&#34;&gt;Snakemake &amp;amp; Sun Grid Engine&lt;/a&gt;&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;</description>
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      <title>Bachelorthesis: Controlling Race Cars with Deep ANNs</title>
      <link>https://cstenkamp.de/portfolio/bachelorthesis/</link>
      <pubDate>Thu, 14 Sep 2017 00:00:00 +0000</pubDate><author>cstenkamp@gmail.com (Chris Stenkamp)</author>
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      <description>Delving into the realm of self-driving cars for my bachelor&amp;rsquo;s thesis, I endeavored to optimize their tactical decisions, particularly speed, using cutting-edge deep neural networks and reinforcement learning in tensorflow within a transformed racing simulation. The resulting research platform, built on Unity, showcased the potential of real-time feedback and adaptability, offering valuable insights into the future integration of reinforcement learning in self-driving cars.</description>
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