| Smoothly clipped absolute deviation on high dimensions Y Kim, H Choi, HS Oh Journal of the American Statistical Association 103 (484), 1665-1673, 2008 | 326 | 2008 |
| Consistent model selection criteria on high dimensions Y Kim, S Kwon, H Choi The Journal of Machine Learning Research 13 (1), 1037-1057, 2012 | 128 | 2012 |
| Penalized expectile regression: an alternative to penalized quantile regression L Liao, C Park, H Choi Annals of the Institute of Statistical Mathematics 71 (2), 409-438, 2019 | 46 | 2019 |
| Gene selection and prediction for cancer classification using support vector machines with a reject option H Choi, D Yeo, S Kwon, Y Kim Computational statistics & data analysis 55 (5), 1897-1908, 2011 | 45 | 2011 |
| An empirical study on classification methods for alarms from a bug-finding static C analyzer K Yi, H Choi, J Kim, Y Kim Information Processing Letters 102 (2-3), 118-123, 2007 | 44 | 2007 |
| BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning C Oh, H Hwang, H Lee, YT Lim, G Jung, J Jung, H Choi, K Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 39 | 2023 |
| Tracking concept drift using a constrained penalized regression combiner LY Wang, C Park, K Yeon, H Choi Computational Statistics & Data Analysis 108, 52-69, 2017 | 24 | 2017 |
| Model averaging via penalized regression for tracking concept drift K Yeon, MS Song, Y Kim, H Choi, C Park Journal of Computational and Graphical Statistics 19 (2), 457-473, 2010 | 22 | 2010 |
| Learning fair representation via distributional contrastive disentanglement C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 19 | 2022 |
| Network analysis for count data with excess zeros H Choi, J Gim, S Won, YJ Kim, S Kwon, C Park BMC genetics 18, 1-10, 2017 | 19 | 2017 |
| Improving disease prediction by incorporating family disease history in risk prediction models with large-scale genetic data J Gim, W Kim, SH Kwak, H Choi, C Park, KS Park, S Kwon, T Park, S Won Genetics 207 (3), 1147-1155, 2017 | 18 | 2017 |
| R 을 이용한 데이터마이닝 박창이 [KIIP] 한국지식재산연구원 도서 DB, 0-0, 2011 | 18 | 2011 |
| Support vector machines for big data analysis H Choi, HW Park, C Park Journal of the Korean Data and Information Science Society 24 (5), 989-998, 2013 | 16 | 2013 |
| Local likelihood density estimation on random fields YK Lee, H Choi, BU Park, KS Yu Statistics & probability letters 68 (4), 347-357, 2004 | 15 | 2004 |
| A modified generalized lasso algorithm to detect local spatial clusters for count data H Choi, E Song, S Hwang, W Lee AStA Advances in Statistical Analysis 102, 537-563, 2018 | 14 | 2018 |
| Sparse bridge estimation with a diverging number of parameters H Choi, Y Kim, S Kwon Statistics and its Interface 6 (2), 231-242, 2013 | 13 | 2013 |
| Homogeneity detection for the high-dimensional generalized linear model JJ Jeon, S Kwon, H Choi Computational Statistics & Data Analysis 114, 61-74, 2017 | 12 | 2017 |
| Investigating the Spatiotemporal Imbalance of Accessibility to Demand Responsive Transit (DRT) Service for People with Disabilities: Explanatory Case Study in South Korea HC Jong-Hun Son, Do-Gyeong Kim, Eunkyeong Lee Journal of Advanced Transportation, Article ID 680694, 2022 | 11* | 2022 |
| Convex clustering for binary data H Choi, S Lee Advances in Data Analysis and Classification 13, 991–1018, 2019 | 11 | 2019 |
| 커피전문점 선택속성과 시장세분화에 관한 연구: 의사결정나무분석을 이용하여: 의사결정나무분석을 이용하여 유진주， 민하나， 최규완， 최호식 관광레저연구 27 (11), 269-288, 2015 | 11 | 2015 |
Yongdai KimSeoul National University在 snu.ac.kr 的电子邮件经过验证
