{"id":1134,"date":"2024-07-26T21:13:03","date_gmt":"2024-07-26T12:13:03","guid":{"rendered":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/?post_type=information&p=1134"},"modified":"2024-07-26T21:13:03","modified_gmt":"2024-07-26T12:13:03","slug":"%e9%87%8d%e5%8a%9b%e6%b3%a2%e8%a6%b3%e6%b8%ac%e3%81%ab%e3%81%8a%e3%81%91%e3%82%8b%e7%aa%81%e7%99%ba%e6%80%a7%e9%9b%91%e9%9f%b3%e3%81%ae%e5%88%86%e9%a1%9e%e3%81%ab%e9%96%a2%e3%81%99%e3%82%8b%e6%8e%a8","status":"publish","type":"information","link":"https:\/\/www.comm.tcu.ac.jp\/gw-ds\/information\/%e9%87%8d%e5%8a%9b%e6%b3%a2%e8%a6%b3%e6%b8%ac%e3%81%ab%e3%81%8a%e3%81%91%e3%82%8b%e7%aa%81%e7%99%ba%e6%80%a7%e9%9b%91%e9%9f%b3%e3%81%ae%e5%88%86%e9%a1%9e%e3%81%ab%e9%96%a2%e3%81%99%e3%82%8b%e6%8e%a8\/","title":{"rendered":"\u91cd\u529b\u6ce2\u89b3\u6e2c\u306b\u304a\u3051\u308b\u7a81\u767a\u6027\u96d1\u97f3\u306e\u5206\u985e\u306b\u95a2\u3059\u308b\u63a8\u5b9a\u6839\u62e0\u306e\u53ef\u8996\u5316\u306e\u8ad6\u6587\u304c\u51fa\u7248\u3055\u308c\u307e\u3057\u305f\u3002"},"content":{"rendered":"

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Naoki Koyama, Yusuke Sakai, Seiya Sasaoka, Diego Dominguez, Kentaro Somiya, Yuto Omae, Yoshikazu Terada, Marco Meyer-Conde, Hirotaka Takahashi<\/u>, “Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation”, Machine Learning: Science and Technology, Vol. 5, No 3, 035028 (2024).
\ndoi:10.1088\/2632-2153\/ad6391<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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