An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction

Y Yin-bo He K Ke-ming Sheng M Ming-liang Du G Guan-cheng Jiang T Teng-fei Dong L Lei Guo (Quantitative Biomedical Research Center, Department of Health Science & Biostatistics, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.) B Bo-tao Xu

Article Details

Volume / Issue Vol. 15, Issue 1
Published May 28, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (7)

Y

Yin-bo He

K

Ke-ming Sheng

M

Ming-liang Du

G

Guan-cheng Jiang

T

Teng-fei Dong

L

Lei Guo

Quantitative Biomedical Research Center, Department of Health Science & Biostatistics, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.

B

Bo-tao Xu