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Home/Authors/Saeid Sheikhi

Saeid Sheikhi

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2AI×2Crypto×1

Frequent co-authors

Amirhossein Ghaffari1×
Ekaterina Gilman1×
Panos Kostakos1×
Lauri Loven1×

Research Timeline

2026
ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

The paper proposes ExAI5G, a logic-based explainable AI framework that integrates a Transformer-based IDS with XAI techniques to provide highly accurate and transparent intrusion detection for 5G networks.

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting

The paper proposes GC-MoE, a graph-conditioned Mixture of Experts framework, to improve traffic forecasting by assigning personalized, specialized forecasting experts to individual road segments.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.AIRecentMay 28, 2026

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting

Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina Gilman

The paper proposes GC-MoE, a graph-conditioned Mixture of Experts framework, to improve traffic forecasting by assigning personalized, specialized forecasting experts to individual road segments.

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cs.CRcs.AIcs.LGRecentApr 20, 2026

ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

Saeid Sheikhi, Panos Kostakos, Lauri Loven

The paper proposes ExAI5G, a logic-based explainable AI framework that integrates a Transformer-based IDS with XAI techniques to provide highly accurate and transparent intrusion detection for 5G netw…

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