Sehwan Moon

According to our database, Sehwan Moon authored at least 5 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep Metric Loss for Multimodal Learning.

Sehwan Moon, Hyunju Lee

CoRR, 2023

Challenge in Classification of Depressive Symptoms Using Actigraphy Data.

Sehwan Moon, Aram Lee, Ju-Wan Kim, Eunkyoung Jeon, Min Jhon, Jeong Eun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Comparative Study of AI Models for Depression Assessment using Voice Features.

Eunkyoung Jeon, Sehwan Moon, Seihyoung Lee, Aram Lee, Sanghyun Kim, Kiwon Park, Jeong Eun Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration.

Sehwan Moon, Jeongyoung Hwang, Hyunju Lee

J. Comput. Biol., 2022

MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification.

Sehwan Moon, Hyunju Lee

Bioinform., 2022