Seung Jun Shin

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Variable selection in AUC-optimizing classification.
Comput. Stat. Data Anal.
Hyungwoo Kim, Seung Jun Shin
2025 J jnl
Scaling Up ROC-Optimizing Support Vector Machines.
CoRR
Gimun Bae, Seung Jun Shin
2024 J jnl
A least distance estimator for a multivariate regression model using deep neural networks.
CoRR
Jungmin Shin, Seung Jun Shin, Sungwan Bang
2024 J jnl
Simultaneous estimation and variable selection for a non-crossing multiple quantile regression using deep neural networks.
Stat. Comput.
Jungmin Shin, Seunghyun Gwak, Seung Jun Shin, Sungwan Bang
2023 J jnl
Principal weighted least square support vector machine: An online dimension-reduction tool for binary classification.
Comput. Stat. Data Anal.
Hyun Jung Jang, Seung Jun Shin, Andreas Artemiou
2022 J jnl
A Forward Approach for Sufficient Dimension Reduction in Binary Classification.
J. Mach. Learn. Res.
Jongkyeong Kang, Seung Jun Shin
2021 J jnl
A gradient-based variable selection for binary classification in reproducing kernel Hilbert space.
CoRR
Jongkyeong Kang, Seung Jun Shin
2021 J jnl
Real-time sufficient dimension reduction through principal least squares support vector machines.
Pattern Recognit.
Andreas Artemiou, Yuexiao Dong, Seung Jun Shin
2020 J jnl
The evolutionary history of 2,658 cancers.
Nat.
Moritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff MacIntyre, Salem Malikic, Nilgun Donmez, Dimitri G. Livitz, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen, Ke Yuan, Wenyi Wang, Quaid D. Morris, David J. Adams, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils, Matthew Fittall, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge, Peter Van Loo
2018 J jnl
Stability approach to selecting the number of principal components.
Comput. Stat.
Jiyeon Song, Seung Jun Shin
2017 J jnl
Penalized principal logistic regression for sparse sufficient dimension reduction.
Comput. Stat. Data Anal.
Seung Jun Shin, Andreas Artemiou