Se Ik Kim

According to our database, Se Ik Kim authored at least 4 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Systematic investigation of hyperparameters on performance of deep neural networks: application to ovarian cancer phenotypes.

Suhyun Hwangbo, Se Ik Kim, Untack Cho, Dae-Shik Suh, Yongsang Song, Taesung Park

Int. J. Data Min. Bioinform., 2020

Ensemble of deep learning models to predict platinum resistance in high grade serous ovarian cancer.

Kyullhee Han, Hyeonjung Ham, Se Ik Kim, Yongsang Song, Taesung Park, TaeJin Ahn

Int. J. Data Min. Bioinform., 2020

2019

Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer.

Suhyun Hwangbo, Se Ik Kim, Untack Cho, Yongsang Song, Taesung Park

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Predicting survival outcomes in ovarian cancer using gene expression data.

TaeJin Ahn, Nayeon Kang, Yonggab Kim, Se Ik Kim, Yongsang Song, Taesung Park

Int. J. Data Min. Bioinform., 2018