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Data Augmentation for Small Sample Iris Image Based on a Modified Sparrow Search Algorithm

• Authors : Qi Xiong; Xinman Zhang; Shaobo He

Subjects: Data augmentation; Small sample; Swarm intelligence

• Source: International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-11 (2022)

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Indirect inference and small sample bias — Some recent results

• Authors : Meenagh, David; Minford, Anthony; Xu, Yongdeng

Subjects: HA Statistics; HB Economic Theory

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Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection

• Authors : Vans, E; Sharma, A; Patil, A

Subjects: Artificial intelligenceCuvu; Fiji2019-08-26 to 2019-08-30

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Fast Evaluation of Caprock Strength Sensitivity to Different CO2 Solutions Using Small Sample Techniques

• Authors : Edvardsen, Laura; Bhuiyan, Mohammad Hossain; Cerasi, Pierre

Subjects: Shear strength; Shale strength; Shale caprock

• Source: 6123-6133 ; 54 ; Rock Mechanics and Rock Engineering

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Residual serialized cross grouping transformer for small scale sketch face recognition

• Authors : Kangning Du; Yinkai Wang; Jianqiang Yin

Subjects: Sketch face recognition; Small sample training; Residual serialized

• Source: Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6103-6116 (2024)

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Fast Evaluation of Caprock Strength Sensitivity to Different CO2 Solutions Using Small Sample Techniques

• Authors : Pierre Cerasi; Mohammad Hossain Bhuiyan; Ruben Bjørge

Subjects: Petroleum engineering; Capillary action; Geology

• Source: Rock Mechanics and Rock Engineering

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Small sample bias in MSM estimation of agent-based models

• Authors : Andrea Teglio; Simone Alfarano; Eva Camacho-Cuena

Subjects: Agent-based modeling; Estimation; small-sample bias

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Small sample bias in MSM estimation of agent-based models

• Authors : Lisa Sella; Matteo Richiardi; Jakob Grazzini

Subjects: Potential adopter; Population size; Innovation diffusion

• Source: Lecture Notes in Economics and Mathematical Systems ISBN: 9783642313004pp. 237–246, 2012info:cnr-pdr/source/autori:Grazzini J.; Richiardi M.; Sella L./titolo:

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Finite Sample Rates for Logistic Regression with Small Noise or Few Samples

• Authors : Kuchelmeister, Felix; van de Geer, Sara

Subjects: Binary classification; probit; ridge regularization

• Source: Sankhya A

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Feature selection using non-dominant features-guided search for gene expression profile data

• Authors : Xiaoying Pan; Jun Sun; Huimin Yu

Subjects: High dimensional and small-sample size; Feature selection; Distance measurement

• Source: Complex & Intelligent Systems, Vol 9, Iss 6, Pp 6139-6153 (2023)

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