| View metadata, citation and similar papers at core. ac. uk ZH Park, SW Rha, BG Choi, SY Choi, EG Lee, YK Noh | 183 | 2017 |
| Transfer learning for automated optical inspection S Kim, W Kim, YK Noh, FC Park 2017 international joint conference on neural networks (IJCNN), 2517-2524, 2017 | 123 | 2017 |
| Generative local metric learning for nearest neighbor classification YK Noh, BT Zhang, DD Lee IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 40 (1), 106-118, 2018 | 111* | 2018 |
| Generative local metric learning for nearest neighbor classification YK Noh, BT Zhang, DD Lee Advances in Neural Information Processing Systems 23, 1822-1830, 2010 | 111 | 2010 |
| Nigrosome 1 detection at 3T MRI for the diagnosis of early-stage idiopathic Parkinson disease: assessment of diagnostic accuracy and agreement on imaging asymmetry and clinical … Y Noh, YH Sung, J Lee, EY Kim American Journal of Neuroradiology 36 (11), 2010-2016, 2015 | 104 | 2015 |
| Machine learning for the prediction of new-onset diabetes mellitus during 5-year follow-up in non-diabetic patients with cardiovascular risks BG Choi, SW Rha, SW Kim, JH Kang, JY Park, YK Noh Yonsei medical journal 60 (2), 191, 2019 | 90 | 2019 |
| Age-group determination of living individuals using first molar images based on artificial intelligence S Kim, YH Lee, YK Noh, FC Park, QS Auh Scientific reports 11 (1), 1073, 2021 | 62 | 2021 |
| Efficient neural network compression via transfer learning for machine vision inspection S Kim, YK Noh, FC Park Neurocomputing 413, 294-304, 2020 | 47 | 2020 |
| Autoencoding under normalization constraints S Yoon, YK Noh, F Park International Conference on Machine Learning, 12087-12097, 2021 | 43 | 2021 |
| Hyperuricaemia and development of type 2 diabetes mellitus in Asian population BG Choi, DJ Kim, MJ Baek, YG Ryu, SW Kim, MW Lee, JY Park, YK Noh, ... Clinical and Experimental Pharmacology and Physiology 45 (6), 499-506, 2018 | 43 | 2018 |
| Bias reduction and metric learning for nearest-neighbor estimation of Kullback-Leibler divergence YK Noh, M Sugiyama, S Liu, MC Plessis, FC Park, DD Lee Artificial Intelligence and Statistics, 669-677, 2014 | 38 | 2014 |
| Decoding of top-down cognitive processing for SSVEP-controlled BMI BK Min, S Dähne, MH Ahn, YK Noh, KR Müller Scientific reports 6 (1), 36267, 2016 | 32 | 2016 |
| Motion planning with movement primitives for cooperative aerial transportation in obstacle environment H Kim, H Lee, S Choi, YK Noh, HJ Kim 2017 IEEE international conference on robotics and automation (ICRA), 2328-2334, 2017 | 27 | 2017 |
| Cancer-associated fibroblasts are associated with poor prognosis in solid type of lung adenocarcinoma in a machine learning analysis KW Min, DH Kim, YK Noh, BK Son, MJ Kwon, JY Moon Scientific reports 11 (1), 16779, 2021 | 26 | 2021 |
| Direct density-derivative estimation and its application in KL-divergence approximation H Sasaki, YK Noh, M Sugiyama Artificial Intelligence and Statistics, 809-818, 2015 | 25 | 2015 |
| Association of inflammation, myocardial fibrosis and cardiac remodelling in patients with mild aortic stenosis as assessed by biomarkers and echocardiography JY Park, SK Ryu, JW Choi, MH Kim, JH Jun, SW Rha, SM Park, HJ Kim, ... Clinical and Experimental Pharmacology and Physiology 41 (3), 185-191, 2014 | 25 | 2014 |
| A machine learning-based approach for the prediction of acute coronary syndrome requiring revascularization YK Noh, JY Park, BG Choi, KE Kim, SW Rha Journal of Medical Systems 43, 1-8, 2019 | 22 | 2019 |
| Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging YH Lee, JH Won, S Kim, QS Auh, YK Noh Scientific Reports 12 (1), 11352, 2022 | 21 | 2022 |
| Impact of low dose atorvastatin on development of new-onset diabetes mellitus in Asian population: three-year clinical outcomes JY Park, SW Rha, BG Choi, JW Choi, SK Ryu, S Kim, YK Noh, SY Choi, ... International journal of cardiology 184, 502-506, 2015 | 20 | 2015 |
| Generative local metric learning for kernel regression YK Noh, M Sugiyama, KE Kim, F Park, DD Lee Advances in neural information processing systems 30, 2017 | 16 | 2017 |
