The identification of rare items, events or observations which raise suspicions by differing significantly from the expected or majority of the data.
1The advantages of spatially varying NF estimation are demonstrated for power analysis, outlier detection and tensor estimation.
2Standard techniques for outlier detection in range based systems do not usually employ robust algorithms, failing when multiple outliers are present.
3The resulting framework also incorporates a novel outlier detection mechanism based on a denoising autoencoder that is shown to improve performance.
4The slope is a cohort-dependent estimate of rate of TDR per drug class and outlier detection reveals comparative persistence of SDRMs.
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Translations for outlier detection