1 code implementation • 20 Sep 2023 • Qiongdan Lou, Zhaohong Deng, Zhiyong Xiao, Kup-Sze Choi, Shitong Wang
Multi-label classification can effectively identify the relevant labels of an instance from a given set of labels.
no code implementations • 17 Jan 2023 • Yuanyuan Wang, Zhaohong Deng, Qiongdan Lou, Shudong Hu, Kup-Sze Choi, Shitong Wang
Secondly, a fusion module is designed to integrate the features from two branches.
no code implementations • 9 Jan 2023 • Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Shitong Wang
Model transparency, label correlation learning and the robust-ness to label noise are crucial for multilabel learning.
no code implementations • 11 Nov 2021 • Andong Li, Zhaohong Deng, Qiongdan Lou, Kup-Sze Choi, Hongbin Shen, Shitong Wang
In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy.
no code implementations • 8 Oct 2021 • Wei zhang, Zhaohong Deng, Qiongdan Lou, Te Zhang, Kup-Sze Choi, Shitong Wang
The proposed method has the following distinctive characteristics: 1) it can deal with the incomplete and few labeled multi-view data simultaneously; 2) it integrates the missing view imputation and model learning as a single process, which is more efficient than the traditional two-step strategy; 3) attributed to the interpretable fuzzy inference rules, this method is more interpretable.