Ja-Yong Koo - RankMe

33 papers Journal 33

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Low-Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization. Stat. Anal. Data Min. Yongku Kim, Jae-Hwan Jhong, Ja-Yong Koo, Kwan-Young Bak
2025	J	`jnl`	spheresmooth: An R Package for Penalized Piecewise Geodesic Curve Fitting on a Sphere. R J. Jae-Hwan Jhong, Seyoung Lee, Ja-Yong Koo, Kwan-Young Bak
2024	J	`jnl`	An Adaptive Neural Network Regression Method for Structure Identification. J. Comput. Graph. Stat. Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo
2024	J	`jnl`	Locally penalized single-index model using B-splines and spherical coordinates. Commun. Stat. Simul. Comput. Jae-Hwan Jhong, Jae-Young Kim, Jae-Deok Lee, Ja-Yong Koo
2023	J	`jnl`	Minimax Density Estimation Under Radial Symmetry. IEEE Access Kwan-Young Bak, Ja-Yong Koo
2022	J	`jnl`	Penalized additive neural network regression. Intell. Data Anal. Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo
2022	J	`jnl`	Sparse neural network regression with variable selection. Comput. Intell. Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo
2021	J	`jnl`	Penalized I-spline monotone regression estimation. Commun. Stat. Simul. Comput. Junsouk Choi, Jungjun Lee, Jae-Hwan Jhong, Ja-Yong Koo
2021	J	`jnl`	Penalized logspline density estimation using total variation penalty. Comput. Stat. Data Anal. Kwan-Young Bak, Jae-Hwan Jhong, Jung-Jun Lee, Jae-Kyung Shin, Ja-Yong Koo
2020	J	`jnl`	Penalized log-density estimation using Legendre polynomials. Commun. Stat. Simul. Comput. Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo
2019	J	`jnl`	Simultaneous estimation of quantile regression functions using B-splines and total variation penalty. Comput. Stat. Data Anal. Jae-Hwan Jhong, Ja-Yong Koo
2018	J	`jnl`	Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data. Comput. Math. Methods Medicine Jung-Jun Lee, Sunghwan Kim, Jae-Hwan Jhong, Ja-Yong Koo
2017	J	`jnl`	Erratum to: Meta-analytic support vector machine for integrating multiple omics data. BioData Min. Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
2017	J	`jnl`	Identifying novel NF-kB-regulated immune genes in the human genome using a Discrete Kernel Structured Support Vector Machine. Model. Assist. Stat. Appl. Insuk Sohn, Sujong Kim, Jae Won Lee, Ja-Yong Koo, Junsu Ko
2017	J	`jnl`	Meta-analytic support vector machine for integrating multiple omics data. BioData Min. Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
2017	J	`jnl`	Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information. Comput. Math. Methods Medicine Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo, ByungYong Lee, Sungwon Han
2014	J	`jnl`	Variable Selection for Naive Bayes Semisupervised Learning. Commun. Stat. Simul. Comput. Byoung-Jeong Choi, Kwang-Rae Kim, Kyu-Dong Cho, Changyi Park, Ja-Yong Koo
2013	J	`jnl`	Frenet-Serret and the Estimation of Curvature and Torsion. IEEE J. Sel. Top. Signal Process. Kwang-Rae Kim, Peter T. Kim, Ja-Yong Koo, Michael R. Pierrynowski
2011	J	`jnl`	Feature selection in the Laplacian support vector machine. Comput. Stat. Data Anal. Sangjun Lee, Changyi Park, Ja-Yong Koo
2010	J	`jnl`	Support Vector Machine Using Commun. Stat. Simul. Comput. Sungwan Bang, Ja-Yong Koo, Myoungshic Jhun
2009	J	`jnl`	Weyl eigenvalue asymptotics and sharp adaptation on vector bundles. J. Multivar. Anal. Peter T. Kim, Ja-Yong Koo, Zhi-Ming Luo
2008	J	`jnl`	A Bahadur Representation of the Linear Support Vector Machine. J. Mach. Learn. Res. Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Park
2008	J	`jnl`	Asymptotic Minimax Bounds for Stochastic Deconvolution Over Groups. IEEE Trans. Inf. Theory Ja-Yong Koo, Peter T. Kim
2008	J	`jnl`	Classification of gene functions using support vector machine for time-course gene expression data. Comput. Stat. Data Anal. Changyi Park, Ja-Yong Koo, Sujong Kim, Insuk Sohn, Jae Won Lee
2008	J	`jnl`	Stepwise feature selection using generalized logistic loss. Comput. Stat. Data Anal. Changyi Park, Ja-Yong Koo, Peter T. Kim, Jae Won Lee
2007	J	`jnl`	On the Use of Adaptive Nearest Neighbors for Missing Value Imputation. Commun. Stat. Simul. Comput. Myoungshic Jhun, Hyeong Chul Jeong, Ja-Yong Koo
2006	J	`jnl`	Erratum to "Inverse boosting for monotone regression functions" [Computational Statistics and Data Analysis 49 (2005) 757-770]. Comput. Stat. Data Anal. Yuwon Kim, Ja-Yong Koo
2006	J	`jnl`	Structured polychotomous machine diagnosis of multiple cancer types using gene expression. Bioinform. Ja-Yong Koo, Insuk Sohn, Sujong Kim, Jae Won Lee
2005	J	`jnl`	Inverse boosting for monotone regression functions. Comput. Stat. Data Anal. Yuwon Kim, Ja-Yong Koo
2004	J	`jnl`	Rotational Matching Problems. Int. J. Comput. Intell. Appl. Gregory S. Chirikjian, Peter T. Kim, Ja-Yong Koo, Christine H. Lee
2002	J	`jnl`	Poisson intensity estimation for tomographic data using a wavelet shrinkage approach. IEEE Trans. Inf. Theory L. Cavalier, Ja-Yong Koo
2002	J	`jnl`	Wavelet deconvolution. IEEE Trans. Inf. Theory Jianqing Fan, Ja-Yong Koo
2001	J	`jnl`	Image Reconstruction using the Wavelet Transform for Positron Emission Tomography. IEEE Trans. Medical Imaging Yong Choi, Ja-Yong Koo, Nam-Yong Lee