no code implementations • 27 Nov 2023 • Jialin Liu, Lu Yan, Xiaowei Liu, Yuzhuo Dai, Fanggen Lu, Yuanting Ma, Muzhou Hou, Zheng Wang
We conducted image processing of HRM to predict the esophageal contraction vigor for assisting the evaluation of esophageal dynamic function.
no code implementations • 9 Aug 2022 • Qihua Zhang, Junning Liu, Yuzhuo Dai, Yiyan Qi, Yifan Yuan, Kunlun Zheng, Fan Huang, Xianfeng Tan
The mainstream RS ranking framework is composed of two parts: a Multi-Task Learning model (MTL) that predicts various user feedback, i. e., clicks, likes, sharings, and a Multi-Task Fusion model (MTF) that combines the multi-task outputs into one final ranking score with respect to user satisfaction.