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<span class="CEURVOLNR">Vol-3259</span> <br>
<span class="CEURURN">urn:nbn:de:0074-3259-5</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://www.activeml.net/ial2022/"><span class="CEURVOLACRONYM">IAL 2022</span></a><br>
<span class="CEURVOLTITLE">Interactive Adaptive Learning 2022</span></h1>
<br>

<h3>
<span class="CEURFULLTITLE">Proceedings of the Workshop on Interactive Adaptive Learning</span><br>
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (<span class="CEURCOLOCATED">ECML PKDD 2022</span>)<br>
</h3>
<h3><span class="CEURLOCTIME">Grenoble, France, September 23, 2022</span>.</h3>
<br>
<b> Edited by </b>
<p>

</p><h3>
   <a href="http://www.daniel.kottke.eu/"><span class="CEURVOLEDITOR">Daniel Kottke </span></a> *<br>
   <a href="https://www.uu.nl/staff/GMKrempl/0"><span class="CEURVOLEDITOR">Georg Krempl </span></a> **<br>
   <a href="http://www.aholzinger.at/"><span class="CEURVOLEDITOR">Andreas Holzinger </span></a> ***<br>
   <a href="https://www.techfak.uni-bielefeld.de/~bhammer/"><span class="CEURVOLEDITOR">Barbara Hammer </span></a> ****<br>
</h3>
* <a href="http://www.uni-kassel.de/">University of Kassel</a>,
   Faculty of Electrical Engineering and Computer Science, 34121 Kassel, Germany<br>
** <a href="https://www.uu.nl/">Utrecht University</a>,
   Faculty of Science, 3512 JE Utrecht, Netherlands<br>
*** <a href="https://human-centered.ai/">University of Natural Resources and Life Sciences</a>,
   Department of Forest and Soil Sciences, Institute of Forest Engineering, 1190 Vienna, Austria<br>
**** <a href="https://www.cit-ec.de/">University of Bielefeld</a>,
   CITEC Center of Excellence, Inspiration 1, 33619 Bielefeld, Germany<br>
<hr>

<br><br><br>

<div class="CEURTOC">
<h2> Table of Contents </h2>

<ul>
<li id="xialatecml_1_front-matter">
<A href="xialatecml_1_front-matter.pdf">Front Matter</A><BR>
</li>
<li id="xialatecml_2_preface">
<A href="xialatecml_2_preface.pdf">Preface</A><BR>
Summary: There were <span class="CEURSUBMITTEDPAPERS">9</span> papers submitted for peer-review to this workshop. Out of these, 
<span class="CEURACCEPTEDPAPERS">6</span> papers were accepted for this volume.
</li>
<li id="xialatecml_3_contents">
<A href="xialatecml_3_contents.pdf">Table of Contents</A><BR>
</li>
</ul>
<BR>



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

<ul>
<li id="ialatecml_paper1"><a href="ialatecml_paper1.pdf">
<span class="CEURTITLE">A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning</span></a>
<span class="CEURPAGES">1-6</span> <br>
<span class="CEURAUTHOR">Marek Herde</span>, 
<span class="CEURAUTHOR">Denis Huseljic</span>, 
<span class="CEURAUTHOR">Jelena Mitrović</span>, 
<span class="CEURAUTHOR">Michael Granitzer</span>, 
<span class="CEURAUTHOR">Bernhard Sick</span>
</li>

<li id="ialatecml_paper2"><a href="ialatecml_paper2.pdf">
<span class="CEURTITLE">BioSegment: Active Learning segmentation for 3D electron microscopy imaging</span></a>
<span class="CEURPAGES">7-26</span> <br>
<span class="CEURAUTHOR">Benjamin Rombaut</span>, 
<span class="CEURAUTHOR">Joris Roels</span>, 
<span class="CEURAUTHOR">Yvan Saeys</span>
</li>

<li id="ialatecml_paper3"><a href="ialatecml_paper3.pdf">
<span class="CEURTITLE">Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources</span></a>
<span class="CEURPAGES">27-42</span> <br>
<span class="CEURAUTHOR">Lukas Rauch</span>, 
<span class="CEURAUTHOR">Denis Huseljic</span>, 
<span class="CEURAUTHOR">Bernhard Sick</span>
</li>

<li id="ialatecml_paper4"><a href="ialatecml_paper4.pdf">
<span class="CEURTITLE">Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations</span></a>
<span class="CEURPAGES">43-48</span> <br>
<span class="CEURAUTHOR">Sandra Gilhuber</span>, 
<span class="CEURAUTHOR">Max Berrendorf</span>, 
<span class="CEURAUTHOR">Yunpu Ma</span>, 
<span class="CEURAUTHOR">Thomas Seidl</span>
</li>

<li id="ialatecml_paper5"><a href="ialatecml_paper5.pdf">
<span class="CEURTITLE">A Practical Evaluation of Active Learning Approaches for Object Detection</span></a>
<span class="CEURPAGES">49-67</span> <br>
<span class="CEURAUTHOR">Jan Schneegans</span>, 
<span class="CEURAUTHOR">Maarten Bieshaar</span>, 
<span class="CEURAUTHOR">Bernhard Sick</span>
</li>

<li id="ialatecml_paper6"><a href="ialatecml_paper6.pdf">
<span class="CEURTITLE">Certifiable Active Class Selection in Multi-Class Classification</span></a>
<span class="CEURPAGES">68-76</span> <br>
<span class="CEURAUTHOR">Martin Senz</span>, 
<span class="CEURAUTHOR">Mirko Bunse</span>, 
<span class="CEURAUTHOR">Katharina Morik</span>
</li>

</ul>

</div>


<hr>
<span class="unobtrusive">
2022-10-13: submitted by Daniel Kottke, 
            metadata incl. bibliographic data published under <A HREF="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons CC0</A><br>
<span class="CEURPUBDATE">2022-11-02</span>: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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