Anomaly Detection in Medical Time Series with Generative Adversarial Networks: A Selective Review

Anomaly detection in medical data is often of critical importance, from diagnosing and potentially localizing disease processes such as epilepsy to detecting and preventing fatal events such as cardiac arrhythmias. Generative adversarial networks (GANs) have since their inception shown promise in va...

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Detalles Bibliográficos

Autor principal:	Cekić, Miloš
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2023
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/87894
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!