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Zakariya Y. Algamal
Zakariya Y. Algamal
University of Mosul, College of Computer Science and Mathematics
在 uomosul.edu.iq 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification
ZY Algamal, MH Lee
Expert Systems with Applications 42 (23), 9326-9332, 2015
1742015
Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification
ZY Algamal, MH Lee
Computers in biology and medicine 67, 136-145, 2015
1252015
Feature selection using particle swarm optimization-based logistic regression model
OS Qasim, ZY Algamal
Chemometrics and Intelligent Laboratory Systems 182, 41-46, 2018
922018
Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model
AA Ewees, L Abualigah, D Yousri, ZY Algamal, MAA Al-Qaness, ...
Engineering with Computers, 1-15, 2021
872021
High‐dimensional QSAR prediction of anticancer potency of imidazo [4, 5‐b] pyridine derivatives using adjusted adaptive LASSO
ZY Algamal, MH Lee, AM Al‐Fakih, M Aziz
Journal of Chemometrics 29 (10), 547-556, 2015
842015
A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
ZY Algamal, MH Lee
Advances in data analysis and classification 13 (3), 753-771, 2019
822019
Classification of Breast Cancer Histopathology Images based on Adaptive Sparse Support Vector Machine
MA Kahya, W Al-Hayani, ZY Algamal
Journal of Applied Mathematics & Bioinformatics 7 (1), 49-69, 2017
782017
A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics
NA Al-Thanoon, OS Qasim, ZY Algamal
Chemometrics and Intelligent Laboratory Systems 184, 142-152, 2019
712019
Boosting arithmetic optimization algorithm with genetic algorithm operators for feature selection: Case study on cox proportional hazards model
AA Ewees, MAA Al-Qaness, L Abualigah, D Oliva, ZY Algamal, AM Anter, ...
Mathematics 9 (18), 2321, 2021
672021
Developing a ridge estimator for the gamma regression model
ZY Algamal
Journal of Chemometrics 32 (10), e3054, 2018
642018
Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification
NA Al-Thanoon, OS Qasim, ZY Algamal
Computers in biology and medicine 103, 262-268, 2018
562018
Feature selection based on chaotic binary black hole algorithm for data classification
OS Qasim, NA Al-Thanoon, ZY Algamal
Chemometrics and Intelligent Laboratory Systems 204, 104104, 2020
542020
Quantitative structure–activity relationship model for prediction study of corrosion inhibition efficiency using two‐stage sparse multiple linear regression
AM Al‐Fakih, ZY Algamal, MH Lee, HH Abdallah, H Maarof, M Aziz
Journal of Chemometrics 30 (7), 361–368, 2016
532016
Diagnostic in poisson regression models
ZY Algamal
Electronic Journal of Applied Statistical Analysis 5 (2), 178-186, 2012
532012
A new ridge estimator for the Poisson regression model
NK Rashad, ZY Algamal
Iranian Journal of Science and Technology, Transactions A: Science 43, 2921-2928, 2019
502019
Proposed methods in estimating the ridge regression parameter in Poisson regression model
ZY Algamal, MM Alanaz
Electronic Journal of Applied Statistical Analysis 11 (2), 506-515, 2018
492018
Liu-type estimator for the gamma regression model
ZY Algamal, Y Asar
Communications in Statistics-Simulation and Computation 49 (8), 2035-2048, 2020
482020
Shrinkage estimators for gamma regression model
ZY Algamal
Electronic Journal of Applied Statistical Analysis 11 (1), 253-268, 2018
482018
Feature selection using different transfer functions for binary bat algorithm
OS Qasim, ZY Algamal
International Journal of Mathematical, Engineering and Management Sciences 5 …, 2020
472020
High dimensional QSAR study of mild steel corrosion inhibition in acidic medium by furan derivatives
AM Al-Fakih, M Aziz, HH Abdallah, ZY Algamal, MH Lee, H Maarof
International Journal of Electrochemical Science 10 (4), 3568-3583, 2015
462015
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