Sehwan Moon

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 6

Top Topics

Canonical Correlation Analysis

Partial Least Squares

Unsupervised Learning

Top Venues

J. Comput. Biol.

Publications

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)
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)
Sehwan Moon, Hyunju Lee
Deep Metric Loss for Multimodal Learning. CoRR (2023)
Jeongyoung Hwang, Sehwan Moon, Hyunju Lee
SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration. CoRR (2022)
Sehwan Moon, Hyunju Lee
MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification. Bioinform. 38 (8) (2022)
Sehwan Moon, Jeongyoung Hwang, Hyunju Lee
SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration. J. Comput. Biol. 29 (8) (2022)