{"id":448,"date":"2022-12-02T13:46:58","date_gmt":"2022-12-02T05:46:58","guid":{"rendered":"https:\/\/tanet2022.ntub.edu.tw\/?page_id=448"},"modified":"2022-12-12T20:59:54","modified_gmt":"2022-12-12T12:59:54","slug":"%e6%b5%b7%e5%a0%b1%e7%99%bc%e8%a1%a8%e5%9b%9b","status":"publish","type":"page","link":"https:\/\/tanet2022.ntub.edu.tw\/?page_id=448","title":{"rendered":"\u6d77\u5831\u767c\u8868(\u56db)"},"content":{"rendered":"\n<p>12\/17 (\u516d) 13:00~14:00 (\u6d77\u5831\u767c\u8868 P-04)<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>P-04<\/td><td>9813<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u4e0d\u5e73\u8861\u6a23\u672c\u8cc7\u6599\u589e\u5f37\u4e4b\u6a21\u578b\u6548\u80fd\u7814\u7a76-\u4ee5Google\u9910\u5ef3\u8a55\u8ad6\u70ba\u4f8bImbalanced Data Enhancement on Model Performance &#8211; TakingGoogle Restaurant Reviews for example.<\/td><td>\u9ec3\u4ec1\u9d6c \u674e\u5049\u6b63<\/td><\/tr><tr><td>P-04<\/td><td>9897<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u4f7f\u7528 InceptionResnetV2\u4e4b X \u5149\u64fa\u4f4d\u5f71\u50cf\u6aa2\u6e2c\u4ee5\u63d0\u5347\u91ab\u7642\u54c1\u8cea<\/td><td>\u6797\u6613\u6c76 \u9673\u4ed5\u5049 \u8521\u6e05\u6b09 \u8521\u5fd7\u6587 \u6797\u5ba5\u8fb0 \u5ed6\u82f1\u7fd4<\/td><\/tr><tr><td>P-04<\/td><td>9935<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u6578\u64da\u4e2d\u5fc3\u6a5f\u623f\u7bc0\u80fdAI\u7814\u7a76\u521d\u63a2<\/td><td>\u9673\u5bb6\u9032 \u65b9\u80b2\u658c \u6797\u4f51\u9752 \u9ec3\u7dad\u8aa0<\/td><\/tr><tr><td>P-04<\/td><td>9968<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u4ee5 CosmoFlow \u642d\u914d\u5de8\u91cf\u8cc7\u6599\u65bc\u53f0\u7063\u6749\u4e8c\u865f\u9032\u884c\u6548\u80fd\u8a55\u6bd4<\/td><td>\u65b9\u80b2\u658c \u5468\u671d\u5b9c \u738b\u9806\u6cf0<\/td><\/tr><tr><td>P-04<\/td><td>9981<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>EB-YOLO: An efficient YOLO Network for Bottle of Pharmacy Real-time Object Detection<\/td><td>Sheng-Wen Chang, Cheng-Tai Tsai, Chun-Shin Shi, Kai-Chieh Yang, Pin-Chi Lin, Tzu-Hao Chang<\/td><\/tr><tr><td>P-04<\/td><td>10000<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u57fa\u65bc\u96c6\u6210\u5b78\u7fd2\u7684\u99d5\u99db\u98a8\u683c\u5206\u6790<\/td><td>\u984f\u4f51\u5112 \u5433\u9d3b\u6e90 \u6797\u4ec1\u52c7<\/td><\/tr><tr><td>P-04<\/td><td>10002<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u57fa\u65bc\u667a\u6167\u578b\u624b\u6a5f\u611f\u6e2c\u5668\u6578\u64da\u7684\u99d5\u99db\u884c\u70ba\u5206\u985e<\/td><td>\u91d1\u5b50\u6377 \u674e\u5b97\u73c9 \u6797\u4ec1\u52c7<\/td><\/tr><tr><td>P-04<\/td><td>10141<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u57fa\u65bc\u6df1\u5ea6\u5b78\u7fd2\u4e4b\u591a\u578b\u614b\u60c5\u7dd2\u8fa8\u8b58\u7cfb\u7d71<\/td><td>\u99ac\u7dad\u6b23 \u6c88\u6631\u8ce2 \u8a31\u7956\u8c6a \u8b1d\u798e\u518f<\/td><\/tr><tr><td>P-04<\/td><td>10176<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u804a\u5929\u6a5f\u5668\u4eba\u6aa2\u7d22\u6280\u8853\u4e4b\u7814\u7a76-\u4ee5 BERT \u8207\u591a\u985e\u5225\u5206\u985e\u70ba\u65b9\u6cd5<\/td><td>\u9673\u5fd7\u9054 \u9ec3\u742c\u6674<\/td><\/tr><tr><td>P-04<\/td><td>10182<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u57fa\u65bc\u60c5\u7dd2\u8fa8\u8b58\u4e4b\u97f3\u6a02\u63a8\u85a6\u64ad\u653e\u7cfb\u7d71<\/td><td>\u6a0a\u5b9a\u5143 \u9673\u529b\u5609 \u694a\u7ae3\u7a0b \u9673\u78a9\u5049 \u5468\u7acb\u5fb7<\/td><\/tr><tr><td>P-04<\/td><td>10186<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u76f2\u4ebaAI\u8f14\u52a9\u8fa8\u8b58\u7cfb\u7d71<\/td><td>\u5433\u6771\u8000<\/td><\/tr><tr><td>P-04<\/td><td>10203<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u4ee5\u5716\u795e\u7d93\u7db2\u8def\u9810\u6e2c Twitter \u7684\u4f7f\u7528\u8005\u8f49\u63a8\u884c\u70ba<\/td><td>\u8a31\u65b0\u6e90 \u674e\u5b9c\u8ed2<\/td><\/tr><tr><td>P-04<\/td><td>10262<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u57fa\u65bcHRNet\u9aa8\u67b6\u5075\u6e2c\u65bc\u7570\u5e38\u884c\u70ba\u8fa8\u8b58\u4e4b\u7814\u7a76<\/td><td>\u5289\u81f3\u5cf0 \u6797\u5141\u4e2d<\/td><\/tr><tr><td>P-04<\/td><td>10287<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u61c9\u7528\u65bc\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u4e2d\u5177\u81ea\u52d5\u96f6\u586b\u5145\u4e4b\u6c60\u5316\u786c\u9ad4\u8a2d\u8a08<\/td><td>Kun-Long Lu<\/td><\/tr><tr><td>P-04<\/td><td>10328<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u96fb\u52d5\u8eca\u80fd\u8017\u6a21\u578b\u8d85\u53c3\u6578\u6700\u4f73\u5316\u5206\u6790\u4e4b\u6df1\u5ea6\u904b\u7b97\u7814\u7a76<\/td><td>\u90ed\u5fe0\u7fa9 \u5289\u6587\u63da \u9673\u4ed5\u6613 \u5433\u570b\u83ef<\/td><\/tr><tr><td>P-04<\/td><td>10445<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>\u57fa\u65bcLSTM-RNN\u4e4bAHRS\u4f30\u7b97\u7cfb\u7d71\u7814\u7a76<\/td><td>\u7f85\u5584\u9d5c \u9673\u5b97\u6b63<\/td><\/tr><tr><td>P-04<\/td><td>10539<\/td><td>2.1 \u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u3001\u6a5f\u5668\u5b78\u7fd2\u3001\u6df1\u5ea6\u5b78\u7fd2<\/td><td>A Hybrid Music Generator with Beat Weight Learning<\/td><td>Yuh-Shyan Chen, Chih-Shun Hsu, and Fang-Yu Chang Chien<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>12\/17 (\u516d) 13:00~14:0&hellip; 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