Se Ik Kim

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 4

Top Topics

Microarray Data

Biological Knowledge

Learning Models

Top Venues

Int. J. Data Min. Bioinform.

Publications

Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park
Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes. Int. J. Data Min. Bioinform. 24 (1) (2020)
Kyullhee Han, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn
Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer. Int. J. Data Min. Bioinform. 24 (3) (2020)
Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song, Taesung Park
Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer. BIBM (2019)
TaeJin Ahn, Nayeon Kang, Yonggab Kim, Se Ik Kim, Yongsang Song, Taesung Park
Predicting survival outcomes in ovarian cancer using gene expression data. Int. J. Data Min. Bioinform. 21 (4) (2018)