Seyoung Kim

发表

Statistical Estimation of Correlated Genome Associations to a Quantitative Trait Network

E. Xing, Seyoung Kim, 2009, PLoS genetics.

Parametric Response Surface Models for Analysis of Multi-site fMRI Data

Jessica A. Turner, Hal S. Stern, Padhraic Smyth, 2005, MICCAI.

An E-cient Proximal Gradient Method for General Structured Sparse Learning

E. Xing, X. Chen, J. Carbonell, 2010 .

An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity pdf

Xi Chen, Jaime G. Carbonell, Eric P. Xing, 2010, ArXiv.

Smoothing proximal gradient method for general structured sparse regression

Xi Chen, Jaime G. Carbonell, Eric P. Xing, 2010, The Annals of Applied Statistics.

A multivariate regression approach to association analysis of a quantitative trait network

Eric P. Xing, Kyung-Ah Sohn, Seyoung Kim, 2008, Bioinform..

Smoothing Proximal Gradient Method for General Structured Sparse Learning

Xi Chen, Jaime G. Carbonell, Eric P. Xing, 2011, UAI.

Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity

Eric P. Xing, Seyoung Kim, E. Xing, 2009, ICML.

Spectral response of romaine lettuce by uptake of ZN

Seyoung Kim, Jaehyung Yu, Yongsik Jeong, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Structured Sparse Regression Methods for Learning from High-Dimensional Genomic Data

E. Xing, Su-In Lee, Seyoung Kim, 2021 .

Machine Learning and Radiogenomics: Lessons Learned and Future Directions

Jacob G. Scott, Seyoung Kim, Sangkyun Lee, 2018, Front. Oncol..

Learning gene networks underlying clinical phenotypes using SNP perturbation

Seyoung Kim, J. Howrylak, Calvin McCarter, 2018, bioRxiv.

Spectral Characteristics of Heavy Metal Contaminated Soils in the Vicinity of Boksu Mine

Seyoung Kim, Jaehyung Yu, J. Shin, 2016 .

Learning a Bayesian Network for Situation-Aware Smart Home Service: A Case Study with a Robot Vacuum Cleaner

Kwang Ryel Ryu, Seyoung Kim, Jeongmin Kim, 2015 .

Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modules

Ross E. Curtis, E. Xing, Seyoung Kim, 2013, BMC Genomics.

Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping

E. Xing, Seyoung Kim, 2009, 0909.1373.

Exploiting Genome Structure in Association Analysis

Eric P. Xing, Seyoung Kim, E. Xing, 2014, J. Comput. Biol..

Correction: Learning Gene Networks under SNP Perturbations Using eQTL Datasets

Seyoung Kim, Lingxue Zhang, Seyoung Kim, 2014, PLoS Comput. Biol..

Multi-population GWA mapping via multi-task regularized regression

Eric P. Xing, Seyoung Kim, Kriti Puniyani, 2010, Bioinform..

Integrative clustering of multi-level omics data for disease subtype discovery using sequential double regularization.

George C Tseng, Seyoung Kim, Steffi Oesterreich, 2017, Biostatistics.

A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables

Seyoung Kim, Jing Xiang, Seyoung Kim, 2013, NIPS.

Hierarchical Dirichlet Processes with Random Effects

Padhraic Smyth, Seyoung Kim, Padhraic Smyth, 2006, NIPS.

A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data

Hal S. Stern, Padhraic Smyth, Seyoung Kim, 2006, MICCAI.

Graphene for CMOS and Beyond CMOS Applications

Leonard Franklin Register, Seyoung Kim, Dharmendar Reddy, 2010, Proceedings of the IEEE.

An Optimal Antenna Pattern Synthesis for Active Phased Array SAR Based on Particle Swarm Optimization and Adaptive Weighting Factor

Noh-Hoon Myung, Seyoung Kim, Seyoung Kim, 2009 .

Organic carbon sequestration and discharge from a deciduous forest catchment in Korea

Seyoung Kim, J. Kim, K. Kim, 2009 .

Negative impedance instability compensation in buck converter using state space pole placement control

Sheldon S. Williamson, Seyoung Kim, Seyoung Kim, 2012, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE).

Heterogeneous multitask learning with joint sparsity constraints

Eric P. Xing, Xiaolin Yang, Seyoung Kim, 2009, NIPS.

Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso pdf

Xi Chen, Jaime G. Carbonell, Eric P. Xing, 2010, ArXiv.

Segmental Hidden Markov Models with Random Effects for Waveform Modeling

Padhraic Smyth, Seyoung Kim, Padhraic Smyth, 2006, J. Mach. Learn. Res..

Modeling Waveform Shapes with Random Eects Segmental Hidden Markov Models

Padhraic Smyth, Stefan Luther, Seyoung Kim, 2004, UAI 2004.

How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model

Seyoung Kim, Thomas F. Golob, Weiping Ren, 1995 .

Novel Air Filtration Device for Building Air Handling Unit

Jin-Ho Kim, Taesung Kim, Duckshin Park, 2011 .

Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modules

Ross E. Curtis, E. Xing, Seyoung Kim, 2013, BMC Genomics.

A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data

Hal S. Stern, Padhraic Smyth, Seyoung Kim, 2010, IEEE Transactions on Medical Imaging.

Deep Learning Experiments with Skewed Data for Defect Prediction in Plastic Injection Molding

Kwang Ryel Ryu, Seyoung Kim, Seongwoo Kim, 2018, 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA).

Accurate Layout-Dependent Effect Model in 10 nm-Class DRAM Process Using Area-Efficient Array Test Circuits

Seyoung Kim, Jaeha Kim, J. Jeon, 2023, IEEE Access.

Learning Context Awareness Model based on User Feedback for Smart Home Service

김세영, 권성철, Kwang Ryel Ryu, 2017 .

r Human Brain Mapping 29:958–972 (2008) r Test–Retest and Between-Site Reliability in a Multicenter fMRI Study

Gregory G. Brown, Padhraic Smyth, A. Belger, 2022 .

Differential trend of mild and severe preeclampsia among nulliparous women: a population-based study of South Korea

Seyoung Kim, S. Choe, Ji Yeon Lee, 2023, Obstetrics & gynecology science.

Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization

Kyung-Ah Sohn, Seyoung Kim, Seyoung Kim, 2012, AISTATS.

Smoothing proximal gradient method for general structured sparse regression

E. Xing, X. Chen, J. Carbonell, 2010, The Annals of Applied Statistics.

Stochastic volatility: likelihood inference and comparison with ARCH models

N. Shephard, Seyoung Kim, 1994 .

A Study on Applied Elements fo the Extension of User Experience in Digital Space

Seyoung Kim, Seyoung Kim, 2014, Korean Institute of Interior Design Journal.

A Structural Model of Vehicle Use in Two-Vehicle Households

Seyoung Kim, Thomas F. Golob, Weiping Ren, 1994 .

A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data

Padhraic Smyth, Seyoung Kim, H. Stern, 2010, IEEE Transactions on Medical Imaging.

An E-cient Proximal Gradient Method for General Structured Sparse Learning

E. Xing, X. Chen, J. Carbonell, 2010 .