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Issue Date	Title / Author(s) / Citation	File
2019-11	Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer Hwangbo, Suhyun; Kim, Se Ik; Cho, Untack; Song, Yong-Sang; Park, Taesung 2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), pp.1982-1987	DOI
2022-01	Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods Lee, Seung Mi; Hwangbo, Suhyun; Norwitz, Errol R.; Koo, Ja Nam; Oh, Ig Hwan; Choi, Eun Saem; Jung, Young Mi; Kim, Sun Min; Kim, Byoung Jae; Kim, Sang Youn; Kim, Gyoung Min; Kim, Won; Joo, Sae Kyung; Shin, Sue; Park, Chan-Wook; Park, Taesung; Park, Joong Shin Clinical and Molecular Hepatology, Vol.28 No.1, pp.105-116	DOI
2022-05	Clinicopathologic and protein markers distinguishing the "polymerase epsilon exonuclease" from the "copy number low" subtype of endometrial cancer Kim, Kidong; Hwangbo, Suhyun; Kim, Hyojin; Kim, Yong Beom; No, Jae Hong; Suh, Dong Hoon; Park, Taesung Journal of Gynecologic Oncology, Vol.33 No.3, p. e27	DOI
2022-06	Kernel-based hierarchical structural component models for pathway analysis Hwangbo, Suhyun; Lee, Sungyoung; Lee, Seungyeoun; Hwang, Heungsun; Kim, Inyoung; Park, Taesung Bioinformatics, Vol.38 No.11, pp.3078-3086	DOI