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Improving binary crow search algorithm for feature selection

Journal of intelligent systems, 2023-02, Vol.32 (1), p.1598-610

2023

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Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm

Journal of intelligent systems, 2023-02, Vol.32 (1), p.99-106

2023

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Shrinkage parameter selection via modified cross-validation approach for ridge regression model

Communications in statistics. Simulation and computation, 2020-07, Vol.49 (7), p.1922-1930

Algamal, Zakariya Yahya

2020

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Performance of ridge estimator in inverse Gaussian regression model

Communications in statistics. Theory and methods, 2019-08, Vol.48 (15), p.3836-3849

Yahya Algamal, Zakariya

2019

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Liu-type estimator for the gamma regression model

Communications in statistics. Simulation and computation, 2020-08, Vol.49 (8), p.2035-2048

2020

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Improved estimators in bell regression model with application

Journal of statistical computation and simulation, 2024-08, Vol.94 (12), p.2710-2726

2024

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A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification

Advances in data analysis and classification, 2019-09, Vol.13 (3), p.753-771

2019

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Developing a Liu‐type estimator in beta regression model

Concurrency and computation, 2022-02, Vol.34 (5), p.n/a

2022

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Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning

Journal of chemometrics, 2020-11, Vol.34 (11), p.n/a

2020

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Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification

Computers in biology and medicine, 2018-12, Vol.103, p.262-268

2018

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Improving K-means clustering based on firefly algorithm

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12004

2021

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Smoothing parameter selection in kernel nonparametric regression using bat optimization algorithm

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12010

2021

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Improving Flower Pollination Algorithm for Solving 0–1 Knapsack Problem

Journal of physics. Conference series, 2021-05, Vol.1879 (2), p.22097

2021

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Generalized ridge estimator in negative binomial regression model

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12019

2021

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Variable selection in Gamma regression model using binary gray Wolf optimization algorithm

Journal of physics. Conference series, 2020-07, Vol.1591 (1), p.12036

2020

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Shrinkage estimators for semiparametric regression model

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12012

2021

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Quantitative Structure-Activity Relationship Modeling Based on Improving Penalized Linear Regression Model

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12016

2021

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Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution

Frontiers in applied mathematics and statistics, 2024-03, Vol.10

2024

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Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression

Computers in biology and medicine, 2018-06, Vol.97, p.145-152

2018

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IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM

Informatyka, automatyka, pomiary w gospodarce i ochronie środowiska, 2024-06, Vol.14 (2), p.113-118

2024

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Improving penalized regression-based clustering model in big data

Journal of physics. Conference series, 2021-05, Vol.1897 (1), p.12036

2021

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Variable selection in Poisson regression model based on chaotic meta-heuristic search algorithm

BIO web of conferences, 2024-01, Vol.97, p.161

2024

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Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model

Mathematics (Basel), 2021-09, Vol.9 (18), p.2321

2021

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A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application

Frontiers in applied mathematics and statistics, 2022-01, Vol.7

2022

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Gene selection and classification of microarray gene expression data based on a new adaptive L1-norm elastic net penalty

Informatics in medicine unlocked, 2021, Vol.24, p.100622, Article 100622

2021

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Improving binary crow search algorithm for feature selection

Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm

Shrinkage parameter selection via modified cross-validation approach for ridge regression model

Performance of ridge estimator in inverse Gaussian regression model

Liu-type estimator for the gamma regression model

Improved estimators in bell regression model with application

A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification

Developing a Liu‐type estimator in beta regression model

Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning

Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification

Improving K-means clustering based on firefly algorithm

Smoothing parameter selection in kernel nonparametric regression using bat optimization algorithm

Improving Flower Pollination Algorithm for Solving 0–1 Knapsack Problem

Generalized ridge estimator in negative binomial regression model

Variable selection in Gamma regression model using binary gray Wolf optimization algorithm

Shrinkage estimators for semiparametric regression model

Quantitative Structure-Activity Relationship Modeling Based on Improving Penalized Linear Regression Model

Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution

Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression

IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM

Improving penalized regression-based clustering model in big data

Variable selection in Poisson regression model based on chaotic meta-heuristic search algorithm

Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model

A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application

Gene selection and classification of microarray gene expression data based on a new adaptive L1-norm elastic net penalty

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