Xingli Yang

Confidence Interval for ${\bm {F_1}}$ Measure of Algorithm Performance Based on Blocked 3 Jihong Li, Yu Wang, Yanfang Li, 2015, IEEE Transactions on Knowledge and Data Engineering.

Variance estimation based on blocked 3×2 cross-validation in high-dimensional linear regression

Jihong Li, Yu Wang, Xingli Yang, 2020, Journal of applied statistics.

Cloud detection for satellite cloud images based on fused FCN features

Hao Zhang, Xingli Yang, Yu Wang, 2022, Remote Sensing Letters.

Full-scale attention network for automated organ segmentation on head and neck CT and MR images

Yinwei Zhan, Li Lin, Xingli Yang, 2022, IET Image Process..

Block-regularized repeated learning-testing for estimating generalization error

Jing Yang, Jihong Li, Ruibo Wang, 2019, Inf. Sci..

Block-Regularized m × 2 Cross-Validated Estimator of the Generalization Error

Jing Yang, Yu Wang, Jihong Li, 2017, Neural Computation.

Ensemble Feature Selection With Block-Regularized m × 2 Cross-Validation

Jihong Li, Yu Wang, Ruibo Wang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Tuning Parameter Selection Based on Blocked 3×2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$3\times 2$$\end{documen

Yu Wang, Jihong Li, Mengmeng Chen, 2019, Neural Processing Letters.

Confidence Interval for F1 Measure of Algorithm Performance Based on Blocked 3× 2 Cross-Validation

Yu Wang, Jihong Li, Yanfang Li, 2015, IEEE Trans. Knowl. Data Eng..