3 papers
cs.LG2025
Outlier detection in mixed-attribute data: a semi-supervised approach with fuzzy approximations and relative entropy
Baiyang Chen, Zhong Yuan, Zheng Liu +4
Outlier detection is a critical task in data mining, aimed at identifying objects that significantly deviate from the norm. Semi-supervised methods improve detection performance by…
eess.IV2025
Uncertainty-Gated Deformable Network for Breast Tumor Segmentation in MR Images
Yue Zhang, Jiahua Dong, Chengtao Peng +3
Accurate segmentation of breast tumors in magnetic resonance images (MRI) is essential for breast cancer diagnosis, yet existing methods face challenges in capturing irregular tumo…
cs.LG2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
Xuyang Wang, Siyuan Duan, Qizhi Li +3
Trustworthy multi-view learning has attracted extensive attention because evidence learning can provide reliable uncertainty estimation to enhance the credibility of multi-view pre…