{"created":"2025-01-19T01:29:40.502312+00:00","updated":"2025-01-19T11:17:11.823937+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230110","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230110","title":["注意機構を導入した特徴量抽出に基づく画像刺激下の脳内状態推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"2a7423fb-973b-4ca7-8716-e33d62b628c3"},"_deposit":{"id":"230110","pid":{"type":"depid","value":"230110","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"注意機構を導入した特徴量抽出に基づく画像刺激下の脳内状態推定","author_link":["619071","619072","619070","619073"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"注意機構を導入した特徴量抽出に基づく画像刺激下の脳内状態推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"お茶の水女子大"},{"subitem_text_value":"NICT"},{"subitem_text_value":"阪大"},{"subitem_text_value":"お茶の水女子大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/230110/files/IPSJ-Z85-5U-07.pdf","label":"IPSJ-Z85-5U-07.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5U-07.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c073e572-2303-4754-a277-a8a28f928002","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田口, 遥香"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西田, 知史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西本, 伸志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 一郎"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"被験者に画像刺激を与えたときの脳活動状態をfMRIで観測する。同じ画像の画像特徴量をAttention Branch Network（ABN）を用いて抽出し、強調された画像特徴量と脳活動データの対応関係を捉えた回帰モデルを構築する。この回帰モデルを用いて、CNNで抽出された画像特徴量ではなく、ABNによる特徴量の重み付けが脳活動状態の推定にどのように働くかを検証する。また、その推定結果における正当性について検証する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"640","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"639","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230110,"links":{}}