{"id":30,"date":"2014-01-26T05:12:47","date_gmt":"2014-01-25T20:12:47","guid":{"rendered":"http:\/\/mlns.es.hokudai.ac.jp\/?page_id=30"},"modified":"2024-08-30T10:23:48","modified_gmt":"2024-08-30T01:23:48","slug":"presentations_d","status":"publish","type":"page","link":"https:\/\/c-mng.cwh.hokudai.ac.jp\/mlns.es\/Root\/presentations_d.html","title":{"rendered":"\u5b66\u4f1a\u767a\u8868\uff08\u56fd\u5185\u5411\u3051\uff09"},"content":{"rendered":"
|2024\u5e74|2023\u5e74|<\/a> 2022\u5e74<\/a> |2021\u5e74<\/a> |2020\u5e74<\/a> |2019\u5e74<\/a> |2018\u5e74<\/a> |2017\u5e74<\/a> |2016\u5e74<\/a> |2015\u5e74<\/a> |2014\u5e74<\/a> |2013\u5e74<\/a> | 2012\u5e74<\/a> | 2011\u5e74<\/a> | 2010\u5e74<\/a> | 2009\u5e74<\/a> | 2008\u5e74<\/a> | 2007\u5e74<\/a> | 2006\u5e74<\/a> | 2005\u5e74<\/a> | 2004\u5e74<\/a> | 2003\u5e74<\/a> | 2002\u5e74<\/a> | 2001\u5e74<\/a> | 2000\u5e74<\/a><\/p>\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n2024<\/h3>
\u5316\u5b66-\u7a7a\u9593\u60c5\u5831\u306b\u57fa\u3065\u304f\u60c5\u5831\u7406\u8ad6\u7684\u75c5\u614b\u8a55\u4fa1\u306b\u3088\u308b\u30e9\u30de\u30f3\u5206\u5149\u7d44\u7e54\u5b66<\/strong>\u3000<\/dt>
\u56fa\u5b9a\u4e88\u7b97\u53ca\u3073\u56fa\u5b9a\u4fe1\u983c\u5ea6\u8a2d\u5b9a\u4e0b\u3067\u306e\u30ea\u30b9\u30af\u56de\u907f\u578b\u591a\u76ee\u7684\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8<\/strong>\u3000\u7b2c27\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2024)<\/dt>
\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u4e0b\u3067\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u554f\u984c<\/strong>\u3000\u7b2c27\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2024)<\/dt>
\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u305f\u9ad8\u6b21\u5143\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u52b9\u7387\u5316\u306e\u691c\u8a0e<\/strong>\u3000\u7b2c27\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2024)<\/dt>
\u52d5\u7684\u5546\u54c1\u30ab\u30bf\u30ed\u30b0\u3092\u6301\u3064EC\u30b5\u30a4\u30c8\u306e\u305f\u3081\u306e\u5bff\u547d\u578b\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/strong>\u3000\u7b2c27\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2024)<\/dt>
\u91cf\u5b50\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306f\u5316\u5b66\u30de\u30b9\u30bf\u30fc\u65b9\u7a0b\u5f0f\u3092\u89e3\u3051\u308b\u304b\uff1f<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d2024<\/dt>
\u5316\u5b66\u53cd\u5fdc\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7e2e\u7d04\u7406\u8ad6\u304b\u975e\u30a2\u30eb\u30b3\u30fc\u30eb\u6027\u8102\u80aa\u809d\u75be\u60a3\u5206\u5149\u753b\u50cf\u89e3\u6790<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d2024<\/dt>
\u5b9f\u5728\u5206\u5b50\u7cfb\u306b\u304a\u3051\u308b\u5316\u5b66\u53cd\u5fdc\u52d5\u529b\u5b66\u306e\u76f8\u7a7a\u9593\u69cb\u9020\u306e\u7406\u8ad6\u7684\u7814\u7a76<\/strong>\u3000\u7b2c18\u56de\u5206\u5b50\u79d1\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
\u500b\u4f53\u5dee\u3092\u53cd\u6620\u3057\u305f\u85ac\u7269\u8fc5\u901f\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3068\u7570\u306a\u308b\u7a2e\u9593\u306e\u60c5\u5831\u63a5\u7d9a<\/strong>\u30002024\u5e74\u5ea6\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u6642\u9650\u7814\u7a76\u4f1a<\/dt>
\u8907\u96d1\u5316\u5b66\u53cd\u5fdc\u30b7\u30b9\u30c6\u30e0\u306e\u89e3\u6790\u306e\u305f\u3081\u306e\u91cf\u5b50\u30fb\u30a4\u30b8\u30f3\u30b0\u8a08\u7b97\u6280\u8853\u2015\u751f\u547d\u306e\u7406\u89e3\u306b \u5411\u3051\u3066\u2015<\/strong>\u3000\u91cf\u5b50\u751f\u547d\u79d1\u5b66\u4f1a \u7b2c\uff16\u56de\u5927\u4f1a<\/dt>
\u9010\u6b21\u30e9\u30de\u30f3\u8a08\u6e2c\u306b\u3088\u308b\u8fc5\u901f\u8a3a\u65ad<\/strong>\u30002024\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08\u7b2c38\u56de\uff09<\/dt>
\u85ac\u5264\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u8fc5\u901f\u5316\u306e\u305f\u3081\u306e\u591a\u76ee\u7684\u6700\u9069\u5316<\/strong>\u30002023\u5e74\u5ea6 \u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\uff0d\u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt>
\u5f37\u5316\u5b66\u7fd2\u306b\u3088\u308b\u85ac\u5264\u6700\u5927\u8010\u91cf\u306e\u52b9\u7387\u7684\u306a\u63a8\u5b9a\u6cd5\u306e\u958b\u767a<\/strong>\u30002023\u5e74\u5ea6 \u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5317\u6d77\u9053\u652f\u90e8\uff0d \u6771\u5317\u652f\u90e8\u5408\u540c\u4f8b\u4f1a<\/dt>
\u591a\u8155\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8\u3092\u7528\u3044\u305f\u30e9\u30de\u30f3\u5206\u5149\u6cd5\u306b\u3088\u308b\u8a3a\u65ad\u8fc5\u901f\u5316<\/strong>\u3000\u4ee4\u548c5\u5e74\u5ea6 \u96fb\u5b50\u79d1\u5b66\u7814\u7a76\u6240 \u7814\u7a76\u4ea4\u6d41\u4f1a<\/dt>
\u8a08\u6e2c\u3068\u60c5\u5831\u306e\u6280\u8853\u3092\u878d\u5408\u3057\u305f\u8a08\u6e2c\u6280\u8853\u306e\u958b\u767a\u3068\u5fdc\u7528<\/strong>\u3000\u4ee4\u548c5\u5e74\u5ea6 \u96fb\u5b50\u79d1\u5b66\u7814\u7a76\u6240 \u7814\u7a76\u4ea4\u6d41\u4f1a<\/dt>2023<\/h3>
\u60c5\u5831\u7406\u8ad6\u306b\u57fa\u3065\u304f\u30e9\u30de\u30f3\u753b\u50cf\u3068\u4ed6\u8a08\u6e2c\u6cd5\u306b\u3088\u308b\u753b\u50cf\u306b\u542b\u307e\u308c\u308b\u60c5\u5831\u306e\u95a2\u4fc2\u6027\u306e\u5b9a\u91cf Quantification of the relationship between information contained in Raman images and other types of images based on information theory<\/strong>\u3000\u7b2c61\u56de\u65e5\u672c\u751f\u7269\u7269\u7406\u5b66\u4f1a\u5e74\u4f1a<\/dt>
\u8b58\u5225\u7cbe\u5ea6\u3092\u4fdd\u8a3c\u3057\u305f\u30aa\u30f3\u30b6\u30d5\u30e9\u30a4\u30e9\u30de\u30f3\u8a08\u6e2c<\/strong>\u3000\u7b2c32\u56de\u65e5\u672c\u30d0\u30a4\u30aa\u30a4\u30e1\u30fc\u30b8\u30f3\u30b0\u5b66\u4f1a\u5b66\u8853\u96c6\u4f1a<\/dt>
\u9ad8\u6b21\u30e2\u30fc\u30e1\u30f3\u30c8\u3092\u6d3b\u7528\u3057\u305f\u30ea\u30b9\u30af\u56de\u907f\u578b\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8<\/strong>\u3000\u7b2c26\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\uff08IBIS2023\uff09<\/dt>
\u8a08\u6e2c\u4ecb\u5165\u578bAI\u30e9\u30de\u30f3\u8a08\u6e2c<\/strong>\u3000\u7814\u7a76\u4f1a\u300c\u7406\u8ad6\u3068\u5b9f\u9a13\u300d2023<\/dt>
\u60c5\u5831\u79d1\u5b66\u3068\u8a08\u6e2c\u79d1\u5b66\u306e\u4eca\u5f8c\u306e\u5c55\u958b<\/strong>\u3000SPring-8\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02023\u300cSPring-8\/SACLA\u3068\u30c7\u30fc\u30bf\u79d1\u5b66\u306e\u878d\u5408\u304c\u751f\u307f\u51fa\u3059\u53ef\u80fd\u6027\u300d<\/dt>
\u5358\u8abf\u5897\u52a0\u5236\u7d04\u306e\u3042\u308b\u95be\u5024\u30d0\u30f3\u30c7\u30a3\u30c3\u30c8<\/strong>\u3000\u7b2c\uff17\u56de\u8a08\u6e2c\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u7814\u7a76\u4f1a\uff08\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u7b2c\uff12\u7a2e\u7814\u7a76\u4f1a\uff09<\/dt>
Linear Bandit Algorithm for the Sequential Experiments of Molecular Properties<\/strong>\u3000\u5317\u5927\u7406\u8ad6\u5316\u5b66\u5408\u540cworkshop 2023<\/dt>
Efficient Exploration of Highly Enantioselective Reactions by Bayesian Optimization<\/strong>\u3000\u5317\u5927\u7406\u8ad6\u5316\u5b66\u5408\u540cworkshop 2023<\/dt>
\u76f8\u7a7a\u9593\u5e7e\u4f55\u5b66\u306b\u3088\u308b\u5316\u5b66\u53cd\u5fdc\u52d5\u529b\u5b66\u306e\u89e3\u6790<\/strong>\u3000\u7b2c1\u56de \u7406\u8ad6\u5316\u5b66\u82e5\u624b\u30bb\u30df\u30ca\u30fc<\/dt>
\u30e9\u30de\u30f3\u5206\u5149\u7d44\u7e54\u5b66\u2014\u5316\u5b66\u2013\u7a7a\u9593\u60c5\u5831\u3092\u7528\u3044\u305f\u60c5\u5831\u7406\u8ad6\u7684\u75c5\u614b\u8a55\u4fa1\u2014<\/strong>\u3000\u7b2c25\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
\u6559\u5e2b\u3064\u304d\u6b21\u5143\u7e2e\u7d04\u3092\u7528\u3044\u305f\u5316\u5b66\u53cd\u5fdc\u52d5\u529b\u5b66\u306e\u76f8\u7a7a\u9593\u69cb\u9020\u89e3\u6790<\/strong>\u3000\u7b2c25\u56de\u7406\u8ad6\u5316\u5b66\u8a0e\u8ad6\u4f1a<\/dt>
\u60c5\u5831\u79d1\u5b66\u3068\u30e9\u30de\u30f3\u8a08\u6e2c\u306e\u5c55\u958b<\/strong>\u3000\u3010\u516c\u958b\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u3011\u30c7\u30fc\u30bf\u99c6\u52d5\u79d1\u5b66\u3068\u60c5\u5831\u8a08\u6e2c\u306e\u65b0\u5c55\u958b ~Data Driven Information Measurement Analysis~<\/dt>
\u5358\u8abf\u5897\u52a0\u5236\u7d04\u306e\u3042\u308b\u30ec\u30d9\u30eb\u30bb\u30c3\u30c8\u63a8\u5b9a<\/strong>\u3000\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u7b2c124\u56de\u4eba\u5de5\u77e5\u80fd\u57fa\u672c\u554f\u984c\u7814\u7a76\u4f1a(SIG-FPAI)<\/dt>