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          <dc:title>Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261)</dc:title>
          <dc:creator>Bhanot, Gyan</dc:creator>
          <dc:creator>Biehl, Michael</dc:creator>
          <dc:creator>Villmann, Thomas</dc:creator>
          <dc:creator>Zühlke, Dietlind</dc:creator>
          <dc:subject>Biomedical data analysis</dc:subject>
          <dc:subject>Data visualization</dc:subject>
          <dc:subject>Expert interactions</dc:subject>
          <dc:subject>Feature selection and dimensionality reduction</dc:subject>
          <dc:subject>Knowledge integration</dc:subject>
          <dc:subject>Modeling</dc:subject>
          <dc:description>This report documents the talks, discussions and outcome of the Dagstuhl seminar 16261 “Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis”. The seminar brought together 37 participants from three diverse disciplines, who would normally not have opportunities to meet in such a forum, let alone discuss common interests and plan joint projects.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gyan Bhanot and Michael Biehl and Thomas Villmann and Dietlind Zühlke</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 6, Issue 6 (2016)</dc:relation>
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          <dc:identifier>doi:10.4230/DagRep.6.6.88</dc:identifier>
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          <dc:language>eng</dc:language>
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