| MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification S Moon, H Lee Bioinformatics 38 (8), 2287-2296, 2022 | 59 | 2022 |
| Prediction of anti-vascular endothelial growth factor agent-specific treatment outcomes in neovascular age-related macular degeneration using a generative adversarial network S Moon, Y Lee, J Hwang, CG Kim, JW Kim, WT Yoon, JH Kim Scientific Reports 13 (1), 5639, 2023 | 19 | 2023 |
| SDGCCA: supervised deep generalized canonical correlation analysis for multi-omics integration S Moon, J Hwang, H Lee Journal of Computational Biology 29 (8), 892-907, 2022 | 17 | 2022 |
| JDSNMF: Joint deep semi-non-negative matrix factorization for learning integrative representation of molecular signals in Alzheimer’s disease S Moon, H Lee Journal of personalized medicine 11 (8), 686, 2021 | 13 | 2021 |
| Challenge in classification of depressive symptoms using actigraphy data S Moon, JW Kim, M Jhon, A Lee, E Jeon, JE Kim 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 1 | 2023 |
| Deep metric loss for multimodal learning S Moon, H Lee Machine Learning 114 (1), 3, 2025 | | 2025 |
| Comparative Study on the Performance of LLM-based Psychological Counseling Chatbots via Prompt Engineering Techniques A Lee, S Moon, M Jhon, JW Kim, DK Kim, JE Kim, K Park, E Jeon 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| Evaluating the Effectiveness of Multi-Modal Data in Classifying Depressive Symptoms: Insights from Actigraphy, HRV, and Demographic Data S Moon, E Jeon, A Lee, M Jhon, JW Kim, JE Kim 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | | 2024 |
| A Comparative Study of AI Models for Depression Assessment using Voice Features E Jeon, S Moon, S Lee, A Lee, S Kim, K Park, JE Kim 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |