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Moon Sehwan
Department
AI Convergence Research Section
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논문 검색결과
Type Year Title Cited Download
Conference
2024 Evaluating the Effectiveness of Multi-Modal Data in Classifying Depressive Symptoms: Insights from Actigraphy, HRV, and Demographic Data   Sehwan Moon   International Conference on Bioinformatics and Biomedicine (BIBM) 2024, pp.7090-7092
Conference
2024 Comparative Study on the Performance of LLMbased Psychological Counseling Chatbots via Prompt Engineering Techniques   Aram Lee   International Conference on Bioinformatics and Biomedicine (BIBM) 2024, pp.7072-7074
Conference
2024 A Study on the Lightweight Performance Analysis of Multimodal Pre-trained Models based on Tensor Decomposition   유홍연   전자 정보 통신 학술 대회 (CEIC) 2024, pp.1-2
Conference
2023 A Comparative Study of AI Models for Depression Assessment using Voice Features   Eunkyoung Jeon   International Conference on Bioinformatics and Biomedicine (BIBM) 2023, pp.4898-4899 0
Conference
2023 Challenge in Classification of Depressive Symptoms Using Actigraphy Data   Sehwan Moon   International Conference on Bioinformatics and Biomedicine (BIBM) 2023, pp.4919-4921 0