Classification trees with unbiased multiway splits H Kim, WY Loh Journal of the American Statistical Association 96 (454), 589-604, 2001 | 606 | 2001 |
Motivation and learner characteristics affecting online learning and learning application DH Lim, H Kim Journal of Educational Technology Systems 31 (4), 423-439, 2003 | 268 | 2003 |
Activation of the renin–angiotensin system within podocytes in diabetes TH Yoo, JJ Li, JJ Kim, DS Jung, SJ Kwak, DR Ryu, HY Choi, JS Kim, ... Kidney international 71 (10), 1019-1027, 2007 | 160 | 2007 |
Reversal of lamina cribrosa displacement after intraocular pressure reduction in open-angle glaucoma EJ Lee, TW Kim, RN Weinreb, H Kim Ophthalmology 120 (3), 553-559, 2013 | 159 | 2013 |
A weight-adjusted voting algorithm for ensembles of classifiers H Kim, H Kim, H Moon, H Ahn Journal of the Korean Statistical Society 40 (4), 437-449, 2011 | 142 | 2011 |
RHSBoost: Improving classification performance in imbalance data J Gong, H Kim Computational Statistics & Data Analysis 111, 1-13, 2017 | 138 | 2017 |
Classification trees with bivariate linear discriminant node models H Kim, WY Loh Journal of Computational and Graphical Statistics 12 (3), 512-530, 2003 | 130 | 2003 |
Influence of lamina cribrosa thickness and depth on the rate of progressive retinal nerve fiber layer thinning EJ Lee, TW Kim, M Kim, H Kim Ophthalmology 122 (4), 721-729, 2015 | 125 | 2015 |
Microstructure of β-zone parapapillary atrophy and rate of retinal nerve fiber layer thinning in primary open-angle glaucoma YW Kim, EJ Lee, TW Kim, M Kim, H Kim Ophthalmology 121 (7), 1341-1349, 2014 | 100 | 2014 |
Ability of Stratus OCT to detect progressive retinal nerve fiber layer atrophy in glaucoma EJ Lee, TW Kim, KH Park, M Seong, H Kim, DM Kim Investigative ophthalmology & visual science 50 (2), 662-668, 2009 | 97 | 2009 |
Visualizable and interpretable regression models with good prediction power H Kim, WY Loh, YS Shih, P Chaudhuri IIE Transactions 39 (6), 565-579, 2007 | 72 | 2007 |
Correlation between topographic profiles of localized retinal nerve fiber layer defects as determined by optical coherence tomography and red-free fundus photography JM Hwang, TW Kim, KH Park, DM Kim, H Kim Journal of glaucoma 15 (3), 223-228, 2006 | 65 | 2006 |
Double random forest S Han, H Kim, YS Lee Machine Learning 109, 1569-1586, 2020 | 63 | 2020 |
Glaucoma progression after the first-detected optic disc hemorrhage by optical coherence tomography MH Suh, KH Park, H Kim, TW Kim, SH Kim, SY Kim, DM Kim Journal of glaucoma 21 (6), 358-366, 2012 | 63 | 2012 |
Neuroprotective effect of memantine in a rabbit model of optic nerve ischemia. TW Kim, DM Kim, KH Park, H Kim Korean Journal of Ophthalmology 16 (1), 1-7, 2002 | 59 | 2002 |
Lamina cribrosa thickness is not correlated with central corneal thickness or axial length in healthy eyes: central corneal thickness, axial length, and lamina cribrosa thickness EJ Lee, TW Kim, RN Weinreb, MH Suh, H Kim Graefe's Archive for Clinical and Experimental Ophthalmology 251, 847-854, 2013 | 58 | 2013 |
Comparison of goldmann applanation tonometer, noncontact tonometer, and TonoPen XL for intraocular pressure measurement in different types of glaucomatous, ocular hypertensive … NR Kim, CY Kim, H Kim, GJ Seong, ES Lee Current eye research 36 (4), 295-300, 2011 | 57 | 2011 |
Comparison of the abilities of SD-OCT and SS-OCT in evaluating the thickness of the macular inner retinal layer for glaucoma diagnosis KM Lee, EJ Lee, TW Kim, H Kim PloS one 11 (1), e0147964, 2016 | 51 | 2016 |
Negative refraction power causes underestimation of peripapillary retinal nerve fibre layer thickness in spectral-domain optical coherence tomography J Lee, NR Kim, H Kim, J Han, ES Lee, GJ Seong, CY Kim British journal of ophthalmology 95 (9), 1284-1289, 2011 | 47 | 2011 |
On the optimal size of candidate feature set in random forest S Han, H Kim Applied Sciences 9 (5), 898, 2019 | 42 | 2019 |