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)

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)

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)

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)

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)

Bayesian bridge quantile regression. - Rahim Alhamzawi; Zakariya Yahya Algamal (Commun. Stat. Simul. Comput., 2019)

Shrinkage parameter selection via modified cross-validation approach for ridge regression model. - Zakariya Yahya Algamal (Commun. Stat. Simul. Comput., 2020)

Liu-type estimator for the gamma regression model. - Zakariya Yahya Algamal; Yasin Asar (Commun. Stat. Simul. Comput., 2020)

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)

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)

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)

Developing a Liu-type estimator in beta regression model. - Zakariya Yahya Algamal; Mohamed Reda Abonazel (Concurr. Comput. Pract. Exp., 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)

Improving nature-inspired algorithms for feature selection. - Niam Abdulmunim Al-Thanoon; Omar Saber Qasim; Zakariya Yahya Algamal (J. Ambient Intell. Humaniz. Comput., 2022)

Enhancement of K-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)

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 001 (Neural Comput. Appl., 2023)

Improving binary crow search algorithm for feature selection. - Zakaria A. Hameed Alnaish; Zakariya Yahya Algamal (J. Intell. Syst., 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., 2023)

Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution. - Ahmed Abdulhadi Ahmed; Zakariya Yahya Algamal; Olayan Albalawi (Frontiers Appl. Math. Stat., 2024)

A new improvement Liu-type estimator for the Bell regression model. - Esra Ertan; Zakariya Yahya Algamal; Ali Erkoç; Kadri Ulas Akay (Commun. Stat. Simul. Comput., 2025)