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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...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:ACM Trans Intell Syst Technol
Prif Awduron: DAHMEN, JESSAMYN, COOK, DIANE J.
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: 2021
Pynciau:
Mynediad Ar-lein: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
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