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<span class="CEURVOLNR">Vol-3375</span> <br>
<span class="CEURURN">urn:nbn:de:0074-3375-8</span>
<p class="unobtrusive copyright" style="text-align: justify">Copyright &copy; 2022 for 
the individual papers by the papers' authors. 
Copyright &copy; <span class="CEURPUBYEAR">2022</span> for the volume
as a collection by its editors.
This volume and its papers are published under the
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<A HREF="https://creativecommons.org/licenses/by/4.0/">(<span class="CEURLIC">CC BY 4.0</span>)</A>.</p>
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<h1><a href="https://amlts.github.io/amlts2022/"><span class="CEURVOLACRONYM">AMLTS 2022 </span></a><br>
<span class="CEURVOLTITLE">Applied Machine Learning Methods for Time Series Forecasting 2022</span></h1>
<br>

<h3>
<span class="CEURFULLTITLE">Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022)</span><br>
co-located with 31st ACM International Conference on Information and Knowledge Management (<span class="CEURCOLOCATED">CIKM 2022</span>)<br>
</h3>
<h3><span class="CEURLOCTIME">Atlanta, Georgia, USA, October 21, 2022</span>.</h3> 


<br>
<b> Edited by </b>
<p>

</p><h3>
   <a href="http://www.personal-webpage.org/myhome/"><span class="CEURVOLEDITOR">Wei Liu </span></a> *<br>
   <span class="CEURVOLEDITOR">Linsey Pang</span> **<br>

</h3>

* <a href="http://www.univ-of-science.org/">University of Technology Sydney</a>
  , Sydney, NSW, Australia<br>
** <a href="http://www.acme-company.com/research/">Salesforce</a>,
   San Francisco, California, USA <br>
  <br>

<hr>

<br><br><br>

<div class="CEURTOC">
<h2> Table of Contents </h2>
<ul>
<li id="xpreface">
<A href="xpreface.pdf">Preface</A><BR>
Summary: There were <span class="CEURSUBMITTEDPAPERS">18</span> papers submitted for peer-review to this workshop. Out of these, 
<span class="CEURACCEPTEDPAPERS">8</span> papers were accepted for this volume, 
<span class="CEURACCEPTEDREGULARPAPERS">5</span> as regular papers and
<span class="CEURACCEPTEDSHORTPAPERS">3</span> as short papers.
</li>
</ul>
<BR>

<h3><span class="CEURSESSION">Papers </span></h3>

<ul>
<li id="paper1"><a href="paper1.pdf">
<span class="CEURTITLE">On the Inductive Bias Transfer with Knowledge Distillation for Real-World Data</span></a>
<br>
  <span class="CEURAUTHOR">Byeong Tak Leei</span>, 
  <span class="CEURAUTHOR">Yong-Yeon Jo</span>,
  <span class="CEURAUTHOR">Joon-myoung Kwon</span>
</li>
<li id="paper2"><a href="paper2.pdf">
<span class="CEURTITLE">Event2Graph: Event-driven Bipartite Graph for Multivariate Time Series Forecasting and Anomaly Detection</span></a>
<br>
<span class="CEURAUTHOR">Yuhang Wu</span>,
  <span class="CEURAUTHOR">Mengting Gu</span>,
  <span class="CEURAUTHOR">Lan Wang</span>,
  <span class="CEURAUTHOR">Yu-san Lin</span>,
  <span class="CEURAUTHOR">Fei Wang</span>,
  <span class="CEURAUTHOR">Hao Yang</span>
</li>
  
<li id="paper3"><a href="paper3.pdf">
<span class="CEURTITLE">Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence Modeling</span></a>
<br>
<span class="CEURAUTHOR">Shah Muhammad Hamdi</span>,
  <span class="CEURAUTHOR">Abu Fuad Ahmad</span>,
  <span class="CEURAUTHOR">Soukaina Filali Boubrahimi</span>
</li>

<li id="paper4"><a href="paper4.pdf">
<span class="CEURTITLE">Forecasting Multivariate Time Series of the Magnetic Field Parameters of the Solar Events</span></a>
<br>
<span class="CEURAUTHOR">Khaznah Alshammari</span>,
  <span class="CEURAUTHOR">Shah Muhammad Hamdi</span>,
  <span class="CEURAUTHOR">Ali Ahsan Muhummad Muzaheed</span>,
   <span class="CEURAUTHOR">Soukaina Filali Boubrahimi</span>
</li>
<li id="paper5"><a href="paper5.pdf">
<span class="CEURTITLE">GreenEyes: An Air Quality Evaluating Model based on WaveNet</span></a>
<br>
<span class="CEURAUTHOR">Kan Huang</span>,
  <span class="CEURAUTHOR">Kai Zhang</span>,
  <span class="CEURAUTHOR">Ming Liu</span>
</li>
  
<li id="paper6"><a href="paper6.pdf">
<span class="CEURTITLE">Real-time Anomaly Detection for Multivariate Data Streams</span></a>
<br>
<span class="CEURAUTHOR">Kenneth Odoh</span>
</li>

<li id="paper7"><a href="paper7.pdf">
<span class="CEURTITLE">Machine Learning Methods for Equity Time Series Forecasting: A Compendium</span></a>
<br>
<span class="CEURAUTHOR">Alberto Matuozzo</span>,
  <span class="CEURAUTHOR">Paul D. Yoo</span>,
  <span class="CEURAUTHOR">Alessandro Provett</span>,
  <span class="CEURAUTHOR">Maria H. Kim</span>
</li>
  
<li id="paper8"><a href="paper8.pdf">
<span class="CEURTITLE">Time Series Anomaly Detection in Smart Homes: A Deep Learning Approach</span></a>
<br>
<span class="CEURAUTHOR">Somayeh Zamani</span>,
  <span class="CEURAUTHOR">Hamed Talebi</span>,
  <span class="CEURAUTHOR">Gunnar Stevens</span>
</li>

</ul>


</div>


<hr>
<span class="unobtrusive">
2023-04-15: submitted by Linsey Pang, 
            metadata incl. bibliographic data published under <A HREF="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</A><br>
<span class="CEURPUBDATE">2023-04-16</span>: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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