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Zakariya Yahya Algamal
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2020 – today
- 2024
- [j19]Ahmed Abdulhadi Ahmed, Zakariya Yahya Algamal, Olayan Albalawi:
Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution. Frontiers Appl. Math. Stat. 10 (2024) - 2023
- [j18]Mathil K. Thamer, Zakariya Yahya Algamal, Raoudha Zine:
Enhancement of Kernel Clustering Based on Pigeon Optimization Algorithm. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 31(Supplement-1): 121-133 (2023) - [j17]Sarah Ghanim Mahmood Al-kababchee, Zakariya Yahya Algamal
, Omar Saber Qasim:
Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm. J. Intell. Syst. 32(1) (2023) - [j16]Zakaria A. Hameed Alnaish, Zakariya Yahya Algamal:
Improving binary crow search algorithm for feature selection. J. Intell. Syst. 32(1) (2023) - [j15]Ahmed A. Ewees
Enhanced feature selection technique using slime mould algorithm: a case study on chemical data. Neural Comput. Appl. 35(4): 3307-3324 (2023) - 2022
- [j14]Zakariya Yahya Algamal
Developing a Liu-type estimator in beta regression model. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j13]Aiedh Mrisi Alharthi, Muhammad Hisyam Lee, Zakariya Yahya Algamal:
Improving Penalized Logistic Regression Model with Missing Values in High-Dimensional Data. Int. J. Online Biomed. Eng. 18(2) (2022) - [j12]Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal
Improving nature-inspired algorithms for feature selection. J. Ambient Intell. Humaniz. Comput. 13(6): 3025-3035 (2022) - 2021
- [j11]Adewale F. Lukman
The KL estimator for the inverse Gaussian regression model. Concurr. Comput. Pract. Exp. 33(13) (2021) - [j10]Mohamed Reda Abonazel
A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application. Frontiers Appl. Math. Stat. 7: 780322 (2021) - [j9]Omar Saber Qasim, Zakariya Yahya Algamal:
A gray wolf algorithm for feature and parameter selection of support vector classification. Int. J. Comput. Sci. Math. 13(1): 93-102 (2021) - 2020
- [j8]Zakariya Yahya Algamal
Shrinkage parameter selection via modified cross-validation approach for ridge regression model. Commun. Stat. Simul. Comput. 49(7): 1922-1930 (2020) - [j7]Zakariya Yahya Algamal
Liu-type estimator for the gamma regression model. Commun. Stat. Simul. Comput. 49(8): 2035-2048 (2020)
2010 – 2019
- 2019
- [j6]Zakariya Yahya Algamal
A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification. Adv. Data Anal. Classif. 13(3): 753-771 (2019) - [j5]Rahim Alhamzawi
Bayesian bridge quantile regression. Commun. Stat. Simul. Comput. 48(3): 944-956 (2019) - 2018
- [j4]Zakariya Yahya Algamal
Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression. Comput. Biol. Medicine 97: 145-152 (2018) - [j3]Niam Abdulmunim Al-Thanoon, Omar Saber Qasim, Zakariya Yahya Algamal
Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification. Comput. Biol. Medicine 103: 262-268 (2018) - 2015
- [j2]Zakariya Yahya Algamal
Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification. Comput. Biol. Medicine 67: 136-145 (2015) - [j1]Zakariya Yahya Algamal
Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification. Expert Syst. Appl. 42(23): 9326-9332 (2015)
Coauthor Index
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last updated on 2024-11-25 22:46 CET by the dblp team
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