Youngjo Lee

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Autonomous Vehicles

Fuzzy Association Rule Mining

Multivariate Gaussian

Top Venues

Comput. Stat. Data Anal.

J. Multivar. Anal.

Publications

Shaobo Jin, Youngjo Lee
Standard error estimates in hierarchical generalized linear models. Comput. Stat. Data Anal. 189 (2024)
Hangbin Lee, Youngjo Lee
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features. ICML (2023)
Toni Toharudin, Resa Septiani Pontoh, Rezzy Eko Caraka, Solichatus Zahroh, Youngjo Lee, Rung Ching Chen
Employing long short-term memory and Facebook prophet model in air temperature forecasting. Commun. Stat. Simul. Comput. 52 (2) (2023)
Hangbin Lee, Il Do Ha, Youngjo Lee
Deep Neural Networks for Semiparametric Frailty Models via H-likelihood. CoRR (2023)
Hangbin Lee, Il Do Ha, Changha Hwang, Youngjo Lee
Subject-specific Deep Neural Networks for Count Data with High-cardinality Categorical Features. CoRR (2023)
Seunghyun Baik, Hongje Seong, Youngjo Lee, Euntai Kim
Spatial-Channel Transformer for Scene Recognition. IJCNN (2022)
Youngjo Lee, Hongje Seong, Euntai Kim
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier. AAAI (2022)
Hongje Seong, Seunghyun Baik, Youngjo Lee, Suhyeon Lee, Euntai Kim
Content Swapping: A New Image Synthesis for Construction Sign Detection in Autonomous Vehicles. Sensors 22 (9) (2022)
Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, Hangbin Lee, Maengseok Noh, Il Do Ha, Prana Ugiana Gio, Bens Pardamean
Albatross analytics a hands-on into practice: statistical and data science application. J. Big Data 9 (1) (2022)
Youngjo Lee, Hongje Seong, Euntai Kim
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier. CoRR (2021)
Rezzy Eko Caraka, Youngjo Lee, Rung Ching Chen, Toni Toharudin, Prana Ugiana Gio, Robert Kurniawan, Bens Pardamean
Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua. IEEE Access 9 (2021)
Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi
A general robust t-process regression model. Comput. Stat. Data Anal. 154 (2021)
Rezzy Eko Caraka, Maengseok Noh, Rung-Ching Chen, Youngjo Lee, Prana Ugiana Gio, Bens Pardamean
Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling. Symmetry 13 (4) (2021)
Rezzy Eko Caraka, Youngjo Lee, Rung-Ching Chen, Toni Toharudin
Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application. IEEE Access 8 (2020)
Sangin Lee, Youngjo Lee, Yudi Pawitan
Sparse pathway-based prediction models for high-throughput molecular data. Comput. Stat. Data Anal. 126 (2018)
Sunghoon Kwon, Seungyoung Oh, Youngjo Lee
The use of random-effect models for high-dimensional variable selection problems. Comput. Stat. Data Anal. 103 (2016)
Namhyoung Kim, Youngdoo Son, Youngjo Lee, Jaewook Lee
Self-correcting ensemble using a latent consensus model. Appl. Soft Comput. 47 (2016)
Jieun Kim, Mintak Han, Youngjo Lee, Yongtae Park
Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map. Expert Syst. Appl. 57 (2016)
Jieun Kim, Yongtae Park, Youngjo Lee
A visual scanning of potential disruptive signals for technology roadmapping: investigating keyword cluster, intensity, and relationship in futuristic data. Technol. Anal. Strateg. Manag. 28 (10) (2016)
Donghwan Lee, Youngjo Lee
Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model. J. Multivar. Anal. 151 (2016)
Sangin Lee, Yudi Pawitan, Youngjo Lee
A random-effect model approach for group variable selection. Comput. Stat. Data Anal. 89 (2015)
Youngjo Lee, Hee-Seok Oh
A new sparse variable selection via random-effect model. J. Multivar. Anal. 125 (2014)
Donghwan Lee, Youngjo Lee, Myunghee Cho Paik, Michael G. Kenward
Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. Comput. Stat. Data Anal. 59 (2013)
Marek Molas, Maengseok Noh, Youngjo Lee, Emmanuel Lesaffre
Joint hierarchical generalized linear models with multivariate Gaussian random effects. Comput. Stat. Data Anal. 68 (2013)
Maengseok Noh, Lang Wu, Youngjo Lee
Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates. J. Multivar. Anal. 109 (2012)
Il Do Ha, Maengseok Noh, Youngjo Lee
frailtyHL: A Package for Fitting Frailty Models with H-likelihood. R J. 4 (2) (2012)
Woojoo Lee, Youngjo Lee
Modifications of REML algorithm for HGLMs. Stat. Comput. 22 (4) (2012)
Youngjo Lee, Myoungjin Jang, Woojoo Lee
Prediction interval for disease mapping using hierarchical likelihood. Comput. Stat. 26 (1) (2011)
Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo
The hierarchical-likelihood approach to autoregressive stochastic volatility models. Comput. Stat. Data Anal. 55 (1) (2011)
Youngjo Lee, Il Do Ha
Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models. Stat. Comput. 20 (3) (2010)
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawitan
Super-sparse principal component analyses for high-throughput genomic data. BMC Bioinform. 11 (2010)
Woojoo Lee, Jian Qing Shi, Youngjo Lee
Approximate conditional inference in mixed-effects models with binary data. Comput. Stat. Data Anal. 54 (1) (2010)
Harry Joe, Youngjo Lee
On weighting of bivariate margins in pairwise likelihood. J. Multivar. Anal. 100 (4) (2009)
Hee-Seok Oh, Donghoh Kim, Youngjo Lee
Cross-validated wavelet shrinkage. Comput. Stat. 24 (3) (2009)
Maengseok Noh, Youngjo Lee
Hierarchical-likelihood approach for nonlinear mixed-effects models. Comput. Stat. Data Anal. 52 (7) (2008)
Youngjo Lee, John A. Nelder, Maengseok Noh
H-likelihood: problems and solutions. Stat. Comput. 17 (1) (2007)
Donghoh Kim, Youngjo Lee, Hee-Seok Oh
Hierarchical-likelihood-based wavelet method for denoising signals with missing data. IEEE Signal Process. Lett. 13 (6) (2006)
Youngjo Lee, John A. Nelder
Fitting via alternative random-effect models. Stat. Comput. 16 (1) (2006)
Youngjo Lee, Maengseok Noh, Keunkwan Ryu
HGLM modelling of dropout process using a frailty model. Comput. Stat. 20 (2) (2005)
Sungcheol Yun, Youngjo Lee
Comparison of hierarchical and marginal likelihood estimators for binary outcomes. Comput. Stat. Data Anal. 45 (3) (2004)
Youngjo Lee
Robust variance estimators for fixed-effect estimates with hierarchical-likelihood. Stat. Comput. 12 (3) (2002)