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<datacite:identifier identifierType="URL">https://phaidra.ustp.at/o:4336</datacite:identifier>

  
<datacite:titles>
  
<datacite:title xml:lang="en">KANDINSKY Patterns: A Swiss-Knife for the Study of Explainable AI.</datacite:title>

  
</datacite:titles>

  
<datacite:creators>
  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Holzinger, Andreas</datacite:creatorName>

  
<datacite:givenName>Andreas</datacite:givenName>

  
<datacite:familyName>Holzinger</datacite:familyName>

  
<datacite:affiliation>Medical University Graz and Alberta Machine Intelligence Institute Edmonton, Canada</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Kieseberg, Peter</datacite:creatorName>

  
<datacite:givenName>Peter</datacite:givenName>

  
<datacite:familyName>Kieseberg</datacite:familyName>

  
<datacite:affiliation>University of Applied Sciences, St.Poelten</datacite:affiliation>

  
</datacite:creator>

  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Müller, Heimo</datacite:creatorName>

  
<datacite:givenName>Heimo</datacite:givenName>

  
<datacite:familyName>Müller</datacite:familyName>

  
<datacite:affiliation>Medical University Graz</datacite:affiliation>

  
</datacite:creator>

  
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<dc:language>eng</dc:language>

  
<dc:description xml:lang="en">Kandinsky Patterns are mathematically describable,
simple, self-contained, hence controllable test datasets
for the development, validation and training of
explainability in artificial intelligence (AI) and machine
learning (ML).</dc:description>

  
<licenseCondition uri="http://rightsstatements.org/vocab/InC/1.0/">All rights reserved</licenseCondition>

  
<dc:source>ERCIM News(120), 41-42 (2020-01)</dc:source>

  
<citationTitle>ERCIM News</citationTitle>

  
<citationIssue>120</citationIssue>

  
<citationStartPage>41</citationStartPage>

  
<citationEndPage>42</citationEndPage>

  
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<datacite:size>754.01 kB</datacite:size>

  
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<datacite:dates>
  
<datacite:date dateType="Issued">2020-01</datacite:date>

  
</datacite:dates>

  
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