Oct 2026
DACD: a dynamic adaptive concept drift learning method for streaming data
Hui Qi, Chang Liu, X. Qi et al.
· Applied intelligence (Boston... · 0 citations
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Conference
Open access
Sep 2026
Meta-Cognitive Resonance Label Correction for Instance-Dependent Noise
The Meta-Cognitive Resonance Label Correction (MecReC) framework introduces a novel meta-cognitive resonance mechanism that aggregates multiple complementary signals to comprehensively assess label reliability, and guarantees a tighter error bound for label purification.
Gao-Xia Jiang, Jie Su, Sen-Yu Hou et al.
· Proceedings of the Thirty-Fi... · 0 citations
Aug 2026
Certainty-Aware Partition and Sufficient Utilization of Noisy Samples
CAPSUN is proposed, a robust framework that improves the precision of clean sample selection and mitigates distribution bias through alignment among subsets, and designs a distribution alignment module to adjust the class distribution contrast of labeled and unlabeled subsets to mitigate class distribution discrepancie...
Jia Zhang, Gao-Xia Jiang, Sen-Yu Hou et al.
· Machine-mediated learning · 0 citations