Sehwan Moon
According to our database1,
Sehwan Moon
authored at least 7 papers
between 2022 and 2025.
Collaborative distances:
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Timeline
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2023
2024
2025
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Bibliography
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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
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