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   Articles with "small sample" as a keyword



Foreground Background Difference Knowledge‐Based Small Sample Target Segmentation for Image‐Guided Radiation Therapy

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70075

Abstract: The aim of this paper is to exploit a small sample (data scarcity) target segmentation technique for image‐guided radiation therapy. The technique is grounded on a prototype‐based approach—widely used small sample segmentation method. In this… read more here.

Keywords: knowledge; segmentation; foreground background; prototype ... See more keywords

Regression Approaches to Assess Effect of Treatments That Arrest Progression of Symptoms

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recommendations! Published in 2024 at "Statistics in Medicine"

DOI: 10.1002/sim.10219

Abstract: Motivated by a small sample example in neonatal onset multisystem inflammatory disease (NOMID), we propose a method that can be used when the interest is testing for an association between a changes in disease progression… read more here.

Keywords: treatment; effect; progression; small sample ... See more keywords

Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes

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recommendations! Published in 2024 at "Statistics in Medicine"

DOI: 10.1002/sim.70051

Abstract: We consider Bayesian estimation of a hierarchical linear model (HLM) from partially observed data, assumed to be missing at random, and small sample sizes. A vector of continuous covariates C$$ C $$ includes cluster‐level partially… read more here.

Keywords: estimation hierarchical; bayesian estimation; small sample; estimation ... See more keywords

SSGAN: A Semantic Similarity-Based GAN for Small-Sample Image Augmentation

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recommendations! Published in 2024 at "Neural Processing Letters"

DOI: 10.1007/s11063-024-11498-z

Abstract: Image sample augmentation refers to strategies for increasing sample size by modifying current data or synthesizing new data based on existing data. This technique is of vital significance in enhancing the performance of downstream learning… read more here.

Keywords: image; similarity based; semantic similarity; small sample ... See more keywords

Dealing with small sample bias in post-crisis samples

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recommendations! Published in 2017 at "Economic Modelling"

DOI: 10.1016/j.econmod.2017.04.004

Abstract: In this paper, we demonstrate that using finite sample correction bootstrapping techniques is advisable in samples that cover less than two complete business cycles, even when high-frequency data seemingly provide a sufficient number of observations… read more here.

Keywords: post crisis; crisis; sample bias; bias ... See more keywords

Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat

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recommendations! Published in 2019 at "Global Ecology and Conservation"

DOI: 10.1016/j.gecco.2019.e00553

Abstract: Abstract Meta-analyses are powerful tools for synthesizing wildlife-habitat relationships, but small sample sizes and complex species-habitat relationships often preclude correlative meta-analyses on endangered species. In this study, we demonstrate qualitative comparative analysis (QCA) as a… read more here.

Keywords: sample sizes; habitat; regression tree; small sample ... See more keywords

Image-text dual neural network with decision strategy for small-sample image classification

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.02.099

Abstract: Abstract Small-sample classification is a challenging problem in computer vision. In this work, we show how to efficiently and effectively utilize semantic information of the annotations to improve the performance of small-sample classification. First, we… read more here.

Keywords: dual neural; image; text dual; classification ... See more keywords

Linear Mixed-Model Analysis Better Captures Subcomponents of Attention in a Small Sample Size of Persons With Aphasia.

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recommendations! Published in 2023 at "American journal of speech-language pathology"

DOI: 10.1044/2022_ajslp-22-00119

Abstract: PURPOSE Although there are several reports of attention deficits in aphasia, studies are typically limited to a single component within this complex domain. Furthermore, interpretation of results is affected by small sample size, intraindividual variability,… read more here.

Keywords: sample size; small sample; analysis; subcomponents attention ... See more keywords

The fusion method based on small-sample aerodynamic thermal and force data

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recommendations! Published in 2024 at "Physics of Fluids"

DOI: 10.1063/5.0244936

Abstract: At present, high-fidelity data are expensive to acquire. When fusing limited high-fidelity data, the small-sample size introduces problems such as missing information and sample bias, which leads to overfitting of the results and accuracy degradation.… read more here.

Keywords: high fidelity; method; sample aerodynamic; small sample ... See more keywords

Corrected likelihood-ratio tests in logistic regression using small-sample data

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recommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1373815

Abstract: ABSTRACT Likelihood-ratio tests (LRTs) are often used for inferences on one or more logistic regression coefficients. Conventionally, for given parameters of interest, the nuisance parameters of the likelihood function are replaced by their maximum likelihood… read more here.

Keywords: logistic regression; ratio tests; likelihood ratio; likelihood ... See more keywords

Small sample confidence intervals for survival functions under the proportional hazards model

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recommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2017.1406514

Abstract: ABSTRACT We develop a saddlepoint-based method for generating small sample confidence bands for the population surviival function from the Kaplan-Meier (KM), the product limit (PL), and Abdushukurov-Cheng-Lin (ACL) survival function estimators, under the proportional hazards… read more here.

Keywords: confidence; proportional hazards; confidence bands; sample confidence ... See more keywords