Hosik Choi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 18

Top Topics

Negative Binomial

Moving Object Tracking

Regression Method

Top Venues

Comput. Stat. Data Anal.

Stat. Anal. Data Min.

Publications

Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song
Robust Adaptation of Foundation Models with Black-Box Visual Prompting. CoRR (2024)
Il-Suk Kang, Hosik Choi, Young Joo Yoon, Junyoung Park, Soon-Sun Kwon, Cheolwoo Park
Fréchet distance-based cluster analysis for multi-dimensional functional data. Stat. Comput. 33 (4) (2023)
Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CVPR (2023)
Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CoRR (2023)
Soon-Sun Kwon, Hosik Choi, Whanhee Lee, Yeonjin Kim, Hwan-Cheol Kim, Woojoo Lee
Reformulating land-use regression method as sign-constrained regularized regressions: Advantages and improvements. Environ. Model. Softw. 162 (2023)
Minje Park, Jaeseon Kim, Sungchul Shin, Cheolwoo Park, Jong-June Jeon, Soon-Sun Kwon, Hosik Choi
Quantile estimation for encrypted data. Appl. Intell. 53 (21) (2023)
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
Learning Fair Representation via Distributional Contrastive Disentanglement. KDD (2022)
Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song
Learning Fair Representation via Distributional Contrastive Disentanglement. CoRR (2022)
Hosik Choi, Byungmun Kang, DaeEun Kim
Moving Object Tracking Based on Sparse Optical Flow with Moving Window and Target Estimator. Sensors 22 (8) (2022)
Beomjin Park, Hosik Choi, Changyi Park
Negative binomial graphical model with excess zeros. Stat. Anal. Data Min. 14 (5) (2021)
SeungHwan An, Hosik Choi, Jong-June Jeon
EXoN: EXplainable encoder Network. CoRR (2021)
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
Primal path algorithm for compositional data analysis. Comput. Stat. Data Anal. 148 (2020)
Hosik Choi, Seokho Lee
Convex clustering for binary data. Adv. Data Anal. Classif. 13 (4) (2019)
Jong-June Jeon, Hosik Choi
The sparse Luce model. Appl. Intell. 48 (8) (2018)
Jong-June Jeon, Yongdai Kim, Sungho Won, Hosik Choi
Primal path algorithm for compositional data analysis. CoRR (2018)
Li-Yu Wang, Cheolwoo Park, Kyupil Yeon, Hosik Choi
Tracking concept drift using a constrained penalized regression combiner. Comput. Stat. Data Anal. 108 (2017)
Jong-June Jeon, Sunghoon Kwon, Hosik Choi
Homogeneity detection for the high-dimensional generalized linear model. Comput. Stat. Data Anal. 114 (2017)
Hosik Choi, Yongdai Kim, Sunghoon Kwon, Changyi Park
A robust support vector machine for labeling errors. Commun. Stat. Simul. Comput. 46 (8) (2017)
Yongdai Kim, Sunghoon Kwon, Hosik Choi
Consistent Model Selection Criteria on High Dimensions. J. Mach. Learn. Res. 13 (2012)
Sunghoon Kwon, Hosik Choi, Yongdai Kim
Quadratic approximation on SCAD penalized estimation. Comput. Stat. Data Anal. 55 (1) (2011)
Hosik Choi, Donghwa Yeo, Sunghoon Kwon, Yongdai Kim
Gene selection and prediction for cancer classification using support vector machines with a reject option. Comput. Stat. Data Anal. 55 (5) (2011)
Kwangkeun Yi, Hosik Choi, Jaehwang Kim, Yongdai Kim
An empirical study on classification methods for alarms from a bug-finding static C analyzer. Inf. Process. Lett. 102 (2-3) (2007)