Zakariya Yahya Algamal

According to our database, Zakariya Yahya Algamal authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution.

Ahmed Abdulhadi Ahmed, Zakariya Yahya Algamal, Olayan Albalawi

Frontiers Appl. Math. Stat., 2024

2023

Enhancement of Kernel Clustering Based on Pigeon Optimization Algorithm.

Mathil K. Thamer, Zakariya Yahya Algamal, Raoudha Zine

Int. J. Uncertain. Fuzziness Knowl. Based Syst., May, 2023

Improving binary crow search algorithm for feature selection.

Zakaria A. Hameed Alnaish, Zakariya Yahya Algamal

J. Intell. Syst., April, 2023

Enhanced feature selection technique using slime mould algorithm: a case study on chemical data.

Ahmed A. Ewees, Mohammed Abdulaziz Aide Al-qaness, Laith Abualigah, Zakariya Yahya Algamal, Diego Oliva, Dalia Yousri, Mohamed Abd Elaziz

Neural Comput. Appl., February, 2023

Enhancement of <i>K</i>-means clustering in big data based on equilibrium optimizer algorithm.

Sarah Ghanim Mahmood Al-kababchee, Zakariya Yahya Algamal, Omar Saber Qasim

J. Intell. Syst., 2023

2022

Improving nature-inspired algorithms for feature selection.

Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal

J. Ambient Intell. Humaniz. Comput., 2022

Improving Penalized Logistic Regression Model with Missing Values in High-Dimensional Data.

Aiedh Mrisi Alharthi, Muhammad Hisyam Lee, Zakariya Yahya Algamal

Int. J. Online Biomed. Eng., 2022

Developing a Liu-type estimator in beta regression model.

Zakariya Yahya Algamal, Mohamed Reda Abonazel

Concurr. Comput. Pract. Exp., 2022

2021

A gray wolf algorithm for feature and parameter selection of support vector classification.

Omar Saber Qasim, Zakariya Yahya Algamal

Int. J. Comput. Sci. Math., 2021

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

Mohamed Reda Abonazel, Zakariya Yahya Algamal, Fuad A. Awwad, Ibrahim M. Taha

Frontiers Appl. Math. Stat., 2021

The KL estimator for the inverse Gaussian regression model.

Adewale F. Lukman, Zakariya Yahya Algamal, B. M. Golam Kibria, Kayode Ayinde

Concurr. Comput. Pract. Exp., 2021

2020

Liu-type estimator for the gamma regression model.

Zakariya Yahya Algamal, Yasin Asar

Commun. Stat. Simul. Comput., 2020

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

Zakariya Yahya Algamal

Commun. Stat. Simul. Comput., 2020

2019

Bayesian bridge quantile regression.

Rahim Alhamzawi, Zakariya Yahya Algamal

Commun. Stat. Simul. Comput., 2019

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

Zakariya Yahya Algamal, Muhammad Hisyam Lee

Adv. Data Anal. Classif., 2019

2018

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

Zakariya Yahya Algamal, Rahim Alhamzawi, Haithem Taha Mohammad Ali

Comput. Biol. Medicine, 2018

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

Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal

Comput. Biol. Medicine, 2018

2015

Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification.

Zakariya Yahya Algamal, Muhammad Hisyam Lee

Expert Syst. Appl., 2015

Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification.

Zakariya Yahya Algamal, Muhammad Hisyam Lee

Comput. Biol. Medicine, 2015