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        <datestamp>2025-01-19T15:17:17Z</datestamp>
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          <dc:title>脳活動情報に基づいたコンテンツグルーピングのための関係性モデル</dc:title>
          <dc:title xml:lang="en">Relational model for video-content grouping based on brain-activity information</dc:title>
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            <jpcoar:creatorName>大石, 泰誠</jpcoar:creatorName>
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            <jpcoar:creatorName>菅野, 竜聖</jpcoar:creatorName>
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            <jpcoar:creatorName>新熊, 亮一</jpcoar:creatorName>
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            <jpcoar:creatorName>西田, 知史</jpcoar:creatorName>
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            <jpcoar:creatorName>前田, 直哉</jpcoar:creatorName>
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            <jpcoar:creatorName xml:lang="en">Taisei, Oishi</jpcoar:creatorName>
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            <jpcoar:creatorName xml:lang="en">Ryusei, Sugano</jpcoar:creatorName>
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            <jpcoar:creatorName xml:lang="en">Ryoichi, Shinkuma</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Satoshi, Nishida</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Naoya, Maeda</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">医療・健康・生活支援</jpcoar:subject>
          <datacite:description descriptionType="Other">Prior research had focused on estimating people’s preferences by focusing on brain responses during video viewing among individuals based on brain information, but the issue was that there was only one model of people’s relationships based on the brain information used. This report proposes a method of content grouping that uses multiple models of human relationships based on brain information obtained from functional magnetic resonance imaging, and suggests the signiﬁcance of using multiple models.</datacite:description>
          <datacite:description descriptionType="Other">Prior research had focused on estimating people’s preferences by focusing on brain responses during video viewing among individuals based on brain information, but the issue was that there was only one model of people’s relationships based on the brain information used. This report proposes a method of content grouping that uses multiple models of human relationships based on brain information obtained from functional magnetic resonance imaging, and suggests the signiﬁcance of using multiple models.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2022-05-19</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_18gh">technical report</dc:type>
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          <jpcoar:sourceIdentifier identifierType="ISSN">2188-8965</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA11515904</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>研究報告高度交通システムとスマートコミュニティ（ITS）</jpcoar:sourceTitle>
          <jpcoar:volume>2022-ITS-89</jpcoar:volume>
          <jpcoar:issue>13</jpcoar:issue>
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