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submissions.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>AutoML-ECAI-2024</title>
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<li class="active"><a href="index.html">Home</a></li>
<li><a href="submissions.html">Submissions</a></li>
<li><a href="format.html">Format</a></li>
<li><a href="organizers.html">Organizers</a></li>
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<div class="alignleft"><h2 class="alignleft">We invite submissions on the topics of:</h2>
<ul>
<li>Model selection, hyper-parameter optimization, and model search</li>
<li>Neural architecture search</li>
<li>Internet of things (IoT) and automation</li>
<li>Automation bias and misuse</li>
<li>Meta-learning and transfer learning</li>
<li>Bayesian optimization for AutoML</li>
<li>Evolutionary algorithms for AutoML</li>
<li>Multi-fidelity optimization</li>
<li>Predictive models of performance</li>
<li>Automatic feature extraction / construction</li>
<li>Automatic data cleaning</li>
<li>Automatic feature engineering</li>
<li>Automation of semi-supervised and unsupervised machine learning</li>
<li>Robustness of AutoML systems</li>
<li>Human-in-the-loop approaches for AutoML</li>
<li>Trust in AutoML</li>
<li>Learning to learn new algorithms and strategies</li>
<li>Hyperparameter agnostic algorithms</li>
<li>AutoML for neuro-fuzzy systems</li>
</ul>
</div>
</div>
<p> </p>
<h4>Submissions:</h4>
<p>
We welcome the submission of full papers (up to 15 pages, excluding references) and short papers (up to 7 pages, excluding references).
To submit, please follow the <a href="https://vtex-soft.github.io/texsupport.iospress-ecai/" target="_blank">ECAI formatting guidelines and LaTeX template</a>.
<p> </p>
All submitted papers must adhere to the following guidelines:
<ul class="submission-list">
<li><strong>Language:</strong> Papers should be written in English</li>
<li><strong>Author Information:</strong> Include author names, affiliations, and email addresses</li>
<li><strong>File Format:</strong> Submissions must be in PDF format, compatible with viewing on any platform</li>
<li><strong>Deadline:</strong> May 15, 2024</li>
<li><strong>Submission Platform:</strong> Authors should submit thourgh Chairing Tool platorm: <a href="https://chairingtool.com/conferences/AMLECAI24/MainTrack" target="_blank">Submission link</a></li>
</ul>
</p>
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