Hanfang Yang

TL;DR: This paper proposes a multi-task method to incorporate the multi-field information into BERT, which improves its news encoding capability and modify the gradients of auxiliary tasks based on their gradient conflicts with the main task, which further boosts the model performance.

TL;DR: The jackknife empirical likelihood (JEL) method is employed to construct confidence intervals for the difference of two correlated continuous-scale ROC curves to avoid estimating several nuisance variables which have to be estimated in the existing methods.

TL;DR: This paper focuses on using the jackknife, the adjusted and the extended jackknife empirical likelihood methods to construct confidence intervals for the mean absolute deviation of a random variable and the results of simulation study show the comparison of the average length and coverage probability by using jackknife theoretical likelihood methods and normal approximation method.

TL;DR: Wang et al. as mentioned in this paper proposed a multi-source data fusion driven flood inundation mapping approach by leveraging a large-scale publicly available Sen1Flood11 dataset consisting of roughly 4831 labeled Sentinel-1 SAR and Sentinel-2 optical imagery gathered from flood events worldwide in recent years.

TL;DR: Simulation studies in terms of coverage probability and average length of confidence intervals demonstrate this proposed JEL method has the good performance in small sample sizes.