A semi-supervised contractive autoencoder with a fast SHAP explainer detects O-RAN traffic anomalies and identifies the responsible radio features.
Ar- tificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial,
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XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection
A semi-supervised contractive autoencoder with a fast SHAP explainer detects O-RAN traffic anomalies and identifies the responsible radio features.