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Unsupervised Anomaly Detection in NSL-KDD Using $β$-VAE: A Latent Space and Reconstruction Error Approach

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Baptiste, Dylan, Saddem, Ramla, Philippot, Alexandre, Foyer, François
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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