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    <title>Publications | Jan Strappa</title>
    <link>https://jstrappa.netlify.app/publication/</link>
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    <description>Publications</description>
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      <title>Publications</title>
      <link>https://jstrappa.netlify.app/publication/</link>
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    <item>
      <title>Evolutionary Statistical System based on Novelty Search: a Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction</title>
      <link>https://jstrappa.netlify.app/publication/algorithms22/</link>
      <pubDate>Fri, 14 Oct 2022 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/algorithms22/</guid>
      <description>&lt;h2 id=&#34;about&#34;&gt;About&lt;/h2&gt;
&lt;p&gt;A journal article published in the Special Issue &lt;a href=&#34;https://www.mdpi.com/journal/algorithms/special_issues/PDCO2022&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;&lt;em&gt;Parallel/Distributed Combinatorics and Optimization&lt;/em&gt;&lt;/a&gt; of the journal &lt;a href=&#34;https://www.mdpi.com/journal/algorithms&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;&lt;em&gt;Algorithms&lt;/em&gt;&lt;/a&gt;.
This manuscript contains experimental results for quality and runtimes of the ESS-NS system compared to its predeccessors.
It is an extended version of the conference paper presented at the &lt;em&gt;12th IEEE Workshop Parallel / Distributed Combinatorics and Optimization (PDCO 2022)&lt;/em&gt;.
We have also generated supplementary material in the form of an report, and have published results data in raw form together with the source code for the report.&lt;/p&gt;
&lt;h2 id=&#34;links&#34;&gt;Links:&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Open Access article available online: &lt;a href=&#34;https://doi.org/10.3390/a15120478&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;https://doi.org/10.3390/a15120478&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://github.com/jstrappa/ess-ns-supplementary&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Github repository of supplementary material (source code and data of experimental results)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://jstrappa.quarto.pub/ess-ns-experimentation&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Supplementary material&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
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    </item>
    
    <item>
      <title>Comparación eficiente de estructuras de independencia de modelos loglineales</title>
      <link>https://jstrappa.netlify.app/publication/thesis/</link>
      <pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/thesis/</guid>
      <description>&lt;p&gt;My thesis (in Spanish) for the degree of &lt;em&gt;Doctor in Computer Science&lt;/em&gt; by &lt;em&gt;Universidad Nacional de San Luis&lt;/em&gt; (Argentina).&lt;/p&gt;
&lt;p&gt;Related publications:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&#34;content/publication/escllm&#34;&gt;Journal article&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://github.com/jstrappa/jllcm&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Open source implementation in Java&lt;/a&gt;, which can also be found at &lt;a href=&#34;https://figshare.com/articles/software/ECSLLM_Java_Implementation/14666163&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Figshare as ECSLLM: Java Implementation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://figshare.com/articles/software/KL-divergence_implementation/14668473&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Open source implementation of KL-divergence&lt;/a&gt;  (competitor measure used in examples)&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://jstrappa.shinyapps.io/llmc/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Shiny app for example of the method&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
    </item>
    
    <item>
      <title>A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System</title>
      <link>https://jstrappa.netlify.app/publication/pdco22/</link>
      <pubDate>Fri, 03 Jun 2022 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/pdco22/</guid>
      <description>&lt;h2 id=&#34;about&#34;&gt;About&lt;/h2&gt;
&lt;p&gt;This work was presented in the form of a 25-minute talk on 3 June 2022 at the &lt;em&gt;12th IEEE Workshop Parallel / Distributed Combinatorics and Optimization (PDCO 2022)&lt;/em&gt;.
This workshop was associated to the &lt;em&gt;2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS 2022)&lt;/em&gt;, which took place 30 May - 3 June 2022 virtually.&lt;/p&gt;
&lt;h2 id=&#34;publishing-information&#34;&gt;Publishing information:&lt;/h2&gt;
&lt;p&gt;IPDPSW 2022&lt;/p&gt;
&lt;p&gt;IEEE Catalog Number: CFP2251J-ART&lt;/p&gt;
&lt;p&gt;ISBN: 978-1-6654-9747-3&lt;/p&gt;
&lt;h2 id=&#34;links&#34;&gt;Links:&lt;/h2&gt;
&lt;!--TODO: [Supplementary material](https://a)--&gt;
&lt;ul&gt;
&lt;li&gt;Publisher&amp;rsquo;s link: &lt;a href=&#34;https://doi.org/10.1109/IPDPSW55747.2022.00134&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://arxiv.org/abs/2207.11646&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;arXiv paper&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;presentation.pdf&#34;&gt;Slides of the presentation at the workshop&lt;/a&gt; (These slides originally included some preliminary results but, after the presentation took place, an error in the generation of these results was found, so they have been removed in this version in order to avoid any confusion. Experimental results can be found &lt;a href=&#34;../algorithms22&#34;&gt;in a subsequent publication&lt;/a&gt;.)&lt;/li&gt;
&lt;/ul&gt;
</description>
    </item>
    
    <item>
      <title>Diseño de metaheurísticas paralelas con el paradigma Novelty Search para la reducción de incertidumbre en la predicción de fenómenos de propagación</title>
      <link>https://jstrappa.netlify.app/publication/wicc22/</link>
      <pubDate>Mon, 28 Feb 2022 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/wicc22/</guid>
      <description>&lt;h2 id=&#34;about&#34;&gt;About&lt;/h2&gt;
&lt;p&gt;Póster relativo al proyecto de aplicación de un enfoque paralelo basado en &lt;em&gt;Novelty Search&lt;/em&gt; a la predicción de fenómenos de propagación, presentado en el &lt;a href=&#34;https://wicc2022.uch.edu.ar&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;WICC22&lt;/a&gt; (&lt;em&gt;XXIV Workshop de Investigadores en Ciencias de la Computación 2022&lt;/em&gt;).&lt;/p&gt;
&lt;p&gt;















&lt;figure  &gt;
  &lt;div class=&#34;d-flex justify-content-center&#34;&gt;
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  &lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;
&lt;p&gt;















&lt;figure  &gt;
  &lt;div class=&#34;d-flex justify-content-center&#34;&gt;
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  &lt;/div&gt;&lt;/figure&gt;
&lt;/p&gt;
&lt;h2 id=&#34;links&#34;&gt;Links:&lt;/h2&gt;
&lt;p&gt;Póster y audio descriptivo disponibles en la galería virtual:&lt;/p&gt;
&lt;p&gt;[https://wicc2022.tk/workshop/6256d13b7c76870009464c7d/post/
6261e5190e07100009653ce8](&lt;a href=&#34;https://wicc2022.tk/workshop/6256d13b7c76870009464c7d/post/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;https://wicc2022.tk/workshop/6256d13b7c76870009464c7d/post/&lt;/a&gt;
6261e5190e07100009653ce8)&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Poster and audio description (in Spanish) available at virtual gallery:&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;[https://wicc2022.tk/workshop/6256d13b7c76870009464c7d/post/
6261e5190e07100009653ce8](&lt;a href=&#34;https://wicc2022.tk/workshop/6256d13b7c76870009464c7d/post/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;https://wicc2022.tk/workshop/6256d13b7c76870009464c7d/post/&lt;/a&gt;
6261e5190e07100009653ce8)&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Blankets Joint Posterior score for learning Markov network structures</title>
      <link>https://jstrappa.netlify.app/publication/blanket/</link>
      <pubDate>Thu, 13 May 2021 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/blanket/</guid>
      <description>&lt;p&gt;Links:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&#34;https://arxiv.org/abs/1608.02315&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;arXiv paper preprint&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://reader.elsevier.com/reader/sd/pii/S0888613X17302189?token=1FB9BB359590D4F8452E26CA590CD43344A68B09DB742287DAD2E4688A9031339641E9499B6FA54714A31300A575D151&amp;amp;originRegion=us-east-1&amp;amp;originCreation=20220802195636&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;PDF from ScienceDirect&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
    </item>
    
    <item>
      <title>Efficient comparison of independence structures of log-linear models</title>
      <link>https://jstrappa.netlify.app/publication/escllm/</link>
      <pubDate>Thu, 13 May 2021 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/escllm/</guid>
      <description>&lt;p&gt;Links:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&#34;https://arxiv.org/abs/1907.08892&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;arXiv paper&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://github.com/jstrappa/jllcm&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Open source implementation in Java&lt;/a&gt;, which can also be found at &lt;a href=&#34;https://figshare.com/articles/software/ECSLLM_Java_Implementation/14666163&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Figshare as ECSLLM: Java Implementation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://figshare.com/articles/software/KL-divergence_implementation/14668473&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Open source implementation of KL-divergence&lt;/a&gt;  (competitor measure used in examples)&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://jstrappa.shinyapps.io/llmc/&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Shiny app for example of the method&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
    </item>
    
    <item>
      <title>The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences</title>
      <link>https://jstrappa.netlify.app/publication/iberamia14/</link>
      <pubDate>Wed, 30 Jul 2014 00:00:00 +0000</pubDate>
      <guid>https://jstrappa.netlify.app/publication/iberamia14/</guid>
      <description>&lt;p&gt;Published in &lt;a href=&#34;https://link.springer.com/book/10.1007/978-3-319-12027-0&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Advances in Artificial Intelligence &amp;ndash; IBERAMIA 2014&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Links:&lt;/p&gt;
&lt;!--TODO: [Supplementary material](https://a)--&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href=&#34;https://arxiv.org/abs/1407.8088&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;arXiv paper&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href=&#34;https://bitbucket.org/ystrappa/csgs/wiki/Home&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;Open source Java implementation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
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