A novel weakly supervised (WS) learning MLTC framework consisting of a novel category word selection method, namely category word selection with significance ranking and crowd-sourcing (Cws-src), and a generic WS learning MLTC method, namely WS multilabel text classification with correlation-aware label propagation (Wm...
Ximing Li, Yiming Wang, Chenglong Hu et al.· IEEE Transactions on Neural...· 0 citations
A novel PML method, namely Wasserstein Partial Multi-Label Learning with dual Label Correlation Perspectives (Wpml3cp), solved by the gradient descent with an augmented Lagrange multiplier technique, and empirical results demonstrate that Wpml3cp and Wpml3cp-D can outperform the PML baselines in various noisy levels.
Xi-Ming Li, Yuanchao Dai, Bing Wang et al.· ACM Transactions on Knowledg...· 0 citations
A novel framework, Generate and Filter graph learning for Graph Anomaly Detection (GFGAD), which generates a diverse set of synthetic anomalies with enriched feature and structural information to balance the data distribution and significantly outperforms state-of-the-art baselines.
Meng-Yu Li, Yong-Hao Liu, Xi-Ming Li et al.· IEEE Transactions on Pattern...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.