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臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
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Institution Date Title Author
臺大學術典藏 2020-07-06T03:39:00Z A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study Liu C.-C.;Hsuan-Ming Huang; Liu C.-C.; HSUAN-MING HUANG
國立成功大學 2020-09 A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin Hussain;Dostdar;Hussain;Tahir;Khan;Ahmed, Aftab;Naqvi;Asad, Syed Ali;Jamil;Akhtar
臺大學術典藏 2022-09-02T02:56:00Z A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder Cheng C.-Y.; Tseng W.-L.; Chang C.-F.; Chang C.-H.; SUSAN SHUR-FEN GAU
臺大學術典藏 2021-07-21T08:21:22Z A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder Cheng C.-Y.; Tseng W.-L.; Chang C.-F.; Chang C.-H.; SUSAN SHUR-FEN GAU
國家衛生研究院 2018-07 A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers Lin, E;Kuo, PH;Liu, YL;Yu, YWY;Yang, AC;Tsai, SJ
臺大學術典藏 2019-07-08T02:27:23Z A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers Tsai, Shih-Jen;Yang, Albert C;Yu, Younger W-Y;Liu, Yu-Li;PO-HSIU KUO;Lin, Eugene; Lin, Eugene; PO-HSIU KUO; Liu, Yu-Li; Yu, Younger W-Y; Yang, Albert C; Tsai, Shih-Jen
臺大學術典藏 2020-11-18T05:27:42Z A deep learning approach for predicting antidepressant response in major depression using clinical and genetic biomarkers Lin E.;Po-Hsiu Kuo;Liu Y.-L.;Yu Y.W.-Y.;Yang A.C.;Tsai S.-J.; Lin E.; PO-HSIU KUO; Liu Y.-L.; Yu Y.W.-Y.; Yang A.C.; Tsai S.-J.
臺大學術典藏 2021-09-23T06:49:26Z A deep learning approach to bank direct marketing CHE LIN
淡江大學 2021-04-23 A Deep Learning Approach to Extract Integrated Meaningful Keywords from Social Network Posts with Images, Texts and Hashtags Lin, Ren-Xiang;Yu, Chien-Chih;Yang, Heng-Li
臺大學術典藏 2021-03-14T23:25:04Z A deep learning approach to identify blepharoptosis by convolutional neural networks Hung, Ju Yi; Perera, Chandrashan; Chen, Ke Wei; Myung, David; Chiu, Hsu Kuang; CHIOU-SHANN FUH; Hsu, Cherng Ru; SHU-LANG LIAO; Kossler, Andrea Lora

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