Kwan-Young Bak

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive smoothing of spherical trajectories via penalized piecewise geodesic curves: a Python software.
SoftwareX
Seyoung Lee, Jae-Hwan Jhong, Kwan-Young Bak
2025 A* conf
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.
AAAI
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim
2025 J jnl
Linear covariance selection model via ℓ1-penalization.
Comput. Stat. Data Anal.
Kwan-Young Bak, Seongoh Park
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
Multi-Task Nonparametric Regression Under Joint Sparsity.
IEEE Access
Jae-Hwan Jhong, Gyeongmin Kim, 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
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect.
CoRR
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, Dongha Kim
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
The regularization paths of total variation-penalized regression splines.
Commun. Stat. Simul. Comput.
Kwan-Young Bak
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 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