Sehwan Moon

According to our database1, Sehwan Moon authored at least 7 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2022
2023
2024
2025
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1
2
3
1
2
2
2

Legend:

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Article 
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Links

On csauthors.net:

Bibliography

2025
Deep metric loss for multimodal learning.
Mach. Learn., January, 2025

2024
Evaluating the Effectiveness of Multi-Modal Data in Classifying Depressive Symptoms: Insights from Actigraphy, HRV, and Demographic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Comparative Study on the Performance of LLM-based Psychological Counseling Chatbots via Prompt Engineering Techniques.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Challenge in Classification of Depressive Symptoms Using Actigraphy Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

A Comparative Study of AI Models for Depression Assessment using Voice Features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration.
J. Comput. Biol., 2022

MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification.
Bioinform., 2022


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