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    <id>7897</id>
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    <publishedYear>2024</publishedYear>
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    <language>eng</language>
    <pageFirst>4056</pageFirst>
    <pageLast>4065</pageLast>
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    <edition/>
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    <type>conferenceobject</type>
    <publisherName>IATED</publisherName>
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    <title language="eng">Deep learning for eye movement classification</title>
    <parentTitle language="eng">ICERI 2024 Proceedings, 17th annual International Conference of Education, Research and Innovation,11-13 November, 2024, Seville, Spain</parentTitle>
    <identifier type="doi">10.21125/iceri.2024.1028</identifier>
    <enrichment key="opus.import.date">2025-01-20T09:16:32+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Timur Ezer</author>
    <author>Moritz Plößl</author>
    <author>Lisa Grabinger</author>
    <author>Dominik Bittner</author>
    <author>Susanne Staufer</author>
    <author>Vamsi Krishna Nadimpalli</author>
    <author>Flemming Bugert</author>
    <author>Florian Hauser</author>
    <author>Jürgen Mottok</author>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="institutes" number="">Laboratory for Safe and Secure Systems (LAS3)</collection>
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