신승준 교수 연구실
연구실 정보 수정하기
홈
기본 정보
연구 영역
프로젝트
발행물
구성원
발행물
논문
저서
컨퍼런스
전체 논문
97
필터 설정하기
1
A least distance estimator for a multivariate regression model using deep neural networks
J Shin^, SJ Shin, S Bang
Journal of Statistical Computation and Simulation
2
Personalized prediction of survival rate with combination of penalized Cox models in patients with colorectal cancer
SH Lee, JM Cha, SJ Shin
Medicine, 2024
3
Simultaneous estimation and variable selection for a non-crossing multiple quantile regression using deep neural networks
JM Shin^, SJ Shin, S Bang
Statistics and Computing, 2024
4
Principal Weighted Least Square Support Vector Machine: An Online Dimension-Reduction Tool for Binary Classification
H Jang^, SJ Shin*, A Artemiou
Computational Statistics & Data Analysis, 2023
5
L1-penalized Fraud Detection Support Vector Machines
M Park^, H Kim^, SJ Shin*
Journal of the Korean Statistical Society, 2023
6
A Forward Approach for Sufficient Dimension Reduction in Binary Classification
JK Kang, SJ Shin*
Journal of Machine Learning Research, 2022
7
Regularized Linear Censored Quantile Regression
Song M, Choi T, SJ Shin, Jung Y, Choi S
Journal of the Korean Statistical Society, 2022
8
Regularization paths of L1-penalized ROC Curve-Optimizing Support Vector Machines
H Kim^, I Sohn, SJ Shin*
STAT, 2021
9
Real-time sufficient dimension reduction through principal least squares support vector machines
A Artemiou, Y Dong, SJ Shin
Pattern Recognition, 2021
10
A quantile-slicing approach for sufficient dimension reduction with censored responses
H Kim^, SJ Shin*
Biometrical Journal, 2021
1
2
3
4
5
6
7
8
9
10