3 citations · 3 across the 5 of their papers we have counts for
5 papers
Multi-Label Takagi-Sugeno-Kang Fuzzy System
Qiongdan Lou, Zhaohong Deng, Zhiyong Xiao +2
Multi-label classification can effectively identify the relevant labels of an instance from a given set of labels. However,the modeling of the relationship between the features and…
Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusion
Yuanyuan Wang, Zhaohong Deng, Qiongdan Lou +3
Traditional segmentation methods for colonic polyps are mainly designed based on low-level features. They could not accurately extract the location of small colonic polyps. Althoug…
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance
Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi +1
Model transparency, label correlation learning and the robust-ness to label noise are crucial for multilabel learning. However, few existing methods study these three characteristi…
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection
Andong Li, Zhaohong Deng, Qiongdan Lou
In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy. EEG-based computer-aided diagnosis of epilepsy can greatly improve the ac-c…
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification
Wei Zhang, Zhaohong Deng, Qiongdan Lou +3
Data collected by multiple methods or from multiple sources is called multi-view data. To make full use of the multi-view data, multi-view learning plays an increasingly important…