Cargando...
Indirectly-Supervised Anomaly Detection of Clinically-Meaningful Health Events from Smart Home Data
Anomaly detection techniques can extract a wealth of information about unusual events. Unfortunately, these methods yield an abundance of findings that are not of interest, obscuring relevant anomalies. In this work, we improve upon traditional anomaly detection methods by introducing Isudra, an Ind...
Guardado en:
| Publicado en: | ACM Trans Intell Syst Technol |
|---|---|
| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8323613/ https://ncbi.nlm.nih.gov/pubmed/34336375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3439870 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|