| Comprehensive ensemble in QSAR prediction for drug discovery S Kwon, H Bae, J Jo, S Yoon BMC bioinformatics 20, 1-12, 2019 | 207 | 2019 |
| LncRNAnet: long non-coding RNA identification using deep learning J Baek, B Lee, S Kwon, S Yoon Bioinformatics 34 (22), 3889-3897, 2018 | 110 | 2018 |
| Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim Proceedings of Neural Information Processing Systems (NeurIPS), 2020 | 86 | 2020 |
| CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing S Kwon, B Lee, S Yoon BMC bioinformatics 15 (Suppl 9), S10, 2014 | 75 | 2014 |
| Changes in Lesional and Non-lesional Skin Microbiome During Treatment of Atopic Dermatitis S Kwon, JY Choi, JW Shin, CH Huh, KC Park, MH Du, S Yoon, JI Na Acta dermato-venereologica, 2018 | 71 | 2018 |
| Deepcci: End-to-end deep learning for chemical-chemical interaction prediction S Kwon, S Yoon Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 66 | 2017 |
| Stress detection with single PPG sensor by orchestrating multiple denoising and peak-detecting methods S Heo, S Kwon, J Lee IEEE Access 9, 47777-47785, 2021 | 57 | 2021 |
| In-depth analysis of interrelation between quality scores and real errors in illumina reads S Kwon, S Park, B Lee, S Yoon 2013 35th annual international conference of the IEEE engineering in …, 2013 | 48 | 2013 |
| RhoGAP domain-containing fusions and PPAPDC1A fusions are recurrent and prognostic in diffuse gastric cancer H Yang, D Hong, SY Cho, YS Park, WR Ko, JH Kim, H Hur, J Lee, SJ Kim, ... Nature Communications 9 (1), 4439, 2018 | 32 | 2018 |
| Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: comparison of computed tomography-based radiological features with … E Oh, SW Seo, YC Yoon, DW Kim, S Kwon, S Yoon Journal of Orthopaedic Surgery 25 (2), 2309499017716243, 2017 | 31 | 2017 |
| 3D graph contrastive learning for molecular property prediction K Moon, HJ Im, S Kwon Bioinformatics 39 (6), btad371, 2023 | 18 | 2023 |
| End-to-end representation learning for chemical-chemical interaction prediction S Kwon, S Yoon IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2018 | 18 | 2018 |
| Dna steganalysis using deep recurrent neural networks H Bae, B Lee, S Kwon, S Yoon BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 88-99, 2018 | 16 | 2018 |
| Prognostic significance of tissue leptin expression in colorectal cancer patients WK Jeong, SK Baek, MK Kim, SY Kwon, HS Kim Annals of Coloproctology 31 (6), 222, 2015 | 16 | 2015 |
| Cu (I) coordination complex with TTF-based radical cation ligand SY Kwon, JH Cho, HI Lee, U Lee, DY Noh Inorganic Chemistry Communications 8 (6), 510-512, 2005 | 13 | 2005 |
| Signal preprocessing technique with noise-tolerant for RF-based UAV signal classification DI Noh, SG Jeong, HT Hoang, QV Pham, T Huynh-The, M Hasegawa, ... IEEE Access 10, 134785-134798, 2022 | 10 | 2022 |
| Development and validation of a next-generation sequencing–based multigene assay to predict the prognosis of estrogen receptor–positive, her2-negative breast cancer HB Lee, SB Lee, M Kim, S Kwon, J Jo, J Kim, HJ Lee, HS Ryu, JW Lee, ... Clinical Cancer Research 26 (24), 6513-6522, 2020 | 10 | 2020 |
| Immunoglobulin G4-related sclerosing disease invading the trachea and superior vena cava in mediastinum D Noh, CK Park, SY Kwon European Journal of Cardio-Thoracic Surgery 45 (3), 573-575, 2014 | 10 | 2014 |
| Self-supervised auxiliary learning for graph neural networks via meta-learning D Hwang, J Park, S Kwon, KM Kim, JW Ha, HJ Kim arXiv preprint arXiv:2103.00771, 2021 | 9 | 2021 |
| Which strategies matter for noisy label classification? Insight into loss and uncertainty W Shin, JW Ha, S Li, Y Cho, H Song, S Kwon arXiv preprint arXiv:2008.06218, 2020 | 9 | 2020 |
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National Universitysnu.ac.kr의 이메일 확인됨
