Effective data-balancing methods for class-imbalanced genotoxicity datasets using machine learning algorithms and molecular fingerprints

SY Bae, J Lee, J Jeong, C Lim, J Choi - Computational Toxicology, 2021 - Elsevier
Abstract Machine learning and deep learning approaches have been increasingly used in
the field of toxicology through prediction models developed using various toxicity data …
被引用次数：33 相关文章

Effective data-balancing methods for class-imbalanced genotoxicity datasets using machine learning algorithms and molecular fingerprints

SY Bae, J Lee, J Jeong, C Lim, J Choi - Computational Toxicology, 2021 - pure.uos.ac.kr
Abstract Machine learning and deep learning approaches have been increasingly used in
the field of toxicology through prediction models developed using various toxicity data …

Effective data-balancing methods for class-imbalanced genotoxicity datasets using machine learning algorithms and molecular fingerprints

SY Bae, J Lee, J Jeong, C Lim… - Computational …, 2021 - ui.adsabs.harvard.edu
Abstract Machine learning and deep learning approaches have been increasingly used in
the field of toxicology through prediction models developed using various toxicity data …

Effective data-balancing methods for class-imbalanced genotoxicity datasets using machine learning algorithms and molecular fingerprints

SY Bae, J Lee, J Jeong, C Lim… - Computational …, 2021 - scholarworks.bwise.kr
Machine learning and deep learning approaches have been increasingly used in the field of
toxicology through prediction models developed using various toxicity data. However …