| MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification S Moon, H Lee Bioinformatics 38 (8), 2287-2296, 2022 | 33 | 2022 |
| 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 | 10 | 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 | 7 | 2021 |
| 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 | 4 | 2023 |
| 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 |
| Challenge in Classification of Depressive Symptoms Using Actigraphy Data S Moon, A Lee, JW Kim, E Jeon, M Jhon, JE Kim 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Deep Metric Loss for Multimodal Learning S Moon, H Lee arXiv preprint arXiv:2308.10486, 2023 | | 2023 |
