Seung Jun Shin

According to our database, Seung Jun Shin authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A least distance estimator for a multivariate regression model using deep neural networks.

Jungmin Shin, Seung Jun Shin, Sungwan Bang

CoRR, 2024

2023

Principal weighted least square support vector machine: An online dimension-reduction tool for binary classification.

Hyun Jung Jang, Seung Jun Shin, Andreas Artemiou

Comput. Stat. Data Anal., November, 2023

2022

A Forward Approach for Sufficient Dimension Reduction in Binary Classification.

Jongkyeong Kang, Seung Jun Shin

J. Mach. Learn. Res., 2022

2021

Real-time sufficient dimension reduction through principal least squares support vector machines.

Andreas Artemiou, Yuexiao Dong, Seung Jun Shin

Pattern Recognit., 2021

A gradient-based variable selection for binary classification in reproducing kernel Hilbert space.

Jongkyeong Kang, Seung Jun Shin

CoRR, 2021

2020

The evolutionary history of 2,658 cancers.

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

Nat., 2020

2018

Stability approach to selecting the number of principal components.

Jiyeon Song, Seung Jun Shin

Comput. Stat., 2018

2017

Penalized principal logistic regression for sparse sufficient dimension reduction.

Seung Jun Shin, Andreas Artemiou

Comput. Stat. Data Anal., 2017