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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

A. Namin

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Conference Open access Jul 2026

Mitigating the Effect of Class Imbalance in Data with Hierarchical and Dependable Structure

A Hierarchy-Aware RoBERTa framework that explicitly incorporates CWE structural information through learnable parent-class embeddings, preserving taxonomic consistency is proposed, suggesting that hierarchyaware representation learning is a more principled alternative to oversampling for structured vulnerability classi...

Bipin Chhetri, D. Giri, Avishek Kadel et al. · 0 citations
Conference Jul 2026

Explainability of Feature Relations in Malicious Network Data Based on Graph Attention Network

Reinforcement learning-based intrusion detection systems achieve strong detection performance in unbalanced network traffic, but offer limited insight into which features have played a significant role in driving their decisions. To determine the key network features in detecting malicious packets, this paper presents...

Tania-Amanda Nkoyo Fredrick Eneye, A. Namin · 0 citations

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