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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Hongyu Zhao

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2 papers indexed here

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Open access 2026

A Coarse-to-Fine Semisupervised Framework for Reliable Cross-Subject Emotion Measurement Using EEG Signals

A coarse-to-fine semisupervised domain adaptation (CFSDA) framework that progressively aligns distributions at both domain and class levels and achieves state-of-the-art performance in label-scarce cross-subject emotion recognition.

Yong-Tao Chen, Zhe-Long Wang, Li-Na Zhang et al. · 0 citations
Aug 2026

SS-DBNet: A Task-Driven Framework for Learning Cross-Subject Shared Sparse Directed Brain Networks from EEG.

A task-driven framework for learning discriminative directed inter-channel dependency patterns and a joint loss function is designed to guide shared directed network learning by integrating prediction loss, classification loss, group sparsity regularization, and a class-link constraint to encourage consistent connectiv...

Hong-Kai Zhao, Zhe-Long Wang, Zhenglin Li et al. · 0 citations

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