Results 71 to 80 of about 245,542 (303)
Remote Sensing, 2017 Change detection (CD) for multitemporal hyperspectral images (HSI) can be approached as classification consisting of two steps, change feature extraction and change identification.
Zhao Chen, Bin Wang
doaj +1 more source
An Innovative Outlier Detection Method Using Localized Thresholds [PDF]
, 2012 In this paper, we investigate the research problem of specifying the thresholds to effectively detect outliers and propose an innovative technique that leverages multiple localized thresholds for detecting outliers.
Cao, Jie +5 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source
Fuzzy Vector Signature and Its Application to Privacy-Preserving Authentication
IEEE Access, 2019 Fuzzy authentication uses non-deterministic or noisy data, like biometrics, as an authentication factor. Although the data is extracted from the same individual or source, it can be different for each measurement.
Minhye Seo +5 more
doaj +1 more source
Outliers and Patterns of Outliers in Contingency Tables with Algebraic Statistics [PDF]
Scandinavian Journal of Statistics, 2012 Abstract. In this paper, we provide a definition of pattern of outliers in contingency tables within a model‐based framework. In particular, we make use of log‐linear models and exact goodness‐of‐fit tests to specify the notions of outlier and pattern of outliers.
openaire +4 more sources
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Outlier detection in multivariate time series via projection pursuit [PDF]
, 2004 This article uses Projection Pursuit methods to develop a procedure for detecting outliers in a multivariate time series. We show that testing for outliers in some projection directions could be more powerful than testing the multivariate series directly.
Peña, Daniel +2 more
core +1 more source
Differential Learning for Outliers: A Case Study of Water Demand Prediction
Applied Sciences, 2018 Predicting water demands is becoming increasingly critical because of the scarcity of this natural resource. In fact, the subject was the focus of numerous studies by a large number of researchers around the world.
Setu Shah +3 more
doaj +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
Pendeteksian Outlier pada Regresi Nonlinier dengan Metode statistik Likelihood Displacement
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2012 Outlier is an observation that much different (extreme) from the other observational data, or data can be interpreted that do not follow the general pattern of the model. Sometimes outliers provide information that can not be provided by other data. That'
Siti Tabi'atul Hasanah
doaj +1 more source