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Found 5 papers, 1 papers with code
Multi-Label Takagi-Sugeno-Kang Fuzzy System
Multi-label classification can effectively identify the relevant labels of an instance from a given set of labels.
Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusion
Secondly, a fusion module is designed to integrate the features from two branches.
A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance
Model transparency, label correlation learning and the robust-ness to label noise are crucial for multilabel learning.
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection
In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy.
TSK Fuzzy System Towards Few Labeled Incomplete Multi-View Data Classification
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.
