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Sehwan Moon

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2023
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  - conf/bibm/JeonMLLKPK23
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Eunkyoung Jeon, Sehwan Moon, Seihyoung Lee, Aram Lee, Sanghyun Kim, Kiwon Park, Jeong Eun Kim:
A Comparative Study of AI Models for Depression Assessment using Voice Features. BIBM 2023: 4905-4906
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Sehwan Moon, Aram Lee, Ju-Wan Kim, Eunkyoung Jeon, Min Jhon, Jeong Eun Kim:
Challenge in Classification of Depressive Symptoms Using Actigraphy Data. BIBM 2023: 4926-4928
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  - journals/corr/abs-2308-10486
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Sehwan Moon, Hyunju Lee:
Deep Metric Loss for Multimodal Learning. CoRR abs/2308.10486 (2023)
2022
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Sehwan Moon, Hyunju Lee:
MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification. Bioinform. 38(8): 2287-2296 (2022)
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Sehwan Moon, Jeongyoung Hwang, Hyunju Lee:
SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration. J. Comput. Biol. 29(8): 892-907 (2022)
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Jeongyoung Hwang, Sehwan Moon, Hyunju Lee:
SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration. CoRR abs/2204.09045 (2022)

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