Z. Algamal

发表

A QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine

Haithem Taha Mohammad Ali, Z. Algamal, M. Qasim, 2017, SAR and QSAR in environmental research.

A QSAR model for predicting antidiabetic activity of dipeptidyl peptidase-IV inhibitors by enhanced binary gravitational search algorithm

Z Y Algamal, A M Al-Fakih, M H Lee, 2019, SAR and QSAR in environmental research.

Gamma Regression Model Estimation Using Bootstrapping Procedure

Z. Algamal, I. I. Allyas, 2017 .

High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm

Z. Algamal, A. M. Al-Fakih, A. M. Al‐Fakih, 2016, SAR and QSAR in environmental research.

Measures for Binary Response Variable Model

Haithem Taha Mohammad Ali, Z. Algamal, 2017 .

Developing a ridge estimator for the gamma regression model

Z. Algamal, 2018, Journal of Chemometrics.

A particle swarm optimization method for variable selection in beta regression model

Z. Algamal, 2019 .

Quantitative structure-activity relationship model for classifying the diverse series of antifungal agents using ratio weighted penalized logistic regression

Muhammad Hisyam Lee, Z. Algamal, A. M. Al-Fakih, 2020, SAR and QSAR in environmental research.

Improving Flower Pollination Algorithm for Solving 0–1 Knapsack Problem

Z. Algamal, Ghalya Tawfeeq Basheer, 2021 .

Variable selection of yearly high dimension stock market price using ordered homogenous pursuit lasso

Muhammad Hisyam Lee, Z. Algamal, Y. Andu, 2020, PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019).

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

R. M. Ghoniem, L. Abualigah, M. Abd Elaziz, 2021, Mathematics.

Gene Selection inside Pathways using Weighted L 1 -norm Support Vector Machine

Mohammed Abdulrazaq Kahya, Z. Algamal, Waleed Al-Hayani, 2017 .

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

Muhammad Hisyam Lee, Z. Algamal, A. M. Alharthi, 2022 .

An improved opposition-based crow search algorithm for biodegradable material classification

Z. Algamal, M. Qasim, A. M. Al-Fakih, 2022, SAR and QSAR in environmental research.

A robust quantitative structure–activity relationship modelling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on the rank-bridge estimator

Z. Algamal, Z. T. Al‐Dabbagh, 2019, SAR and QSAR in environmental research.

Selecting Model in Fixed and Random Panel Data Models

Z. Algamal, 2012 .

New Two-Parameter Estimators for the Logistic Regression Model with Multicollinearity

Z. Algamal, M. Abonazel, I. Dawoud, 2022, WSEAS TRANSACTIONS ON MATHEMATICS.

Response to Terrorism-The Use of Force Against International Terrorism

Z. Algamal, I. I. Allyas, 2017 .

High‐dimensional quantitative structure–activity relationship modeling of influenza neuraminidase a/PR/8/34 (H1N1) inhibitors based on a two‐stage adaptive penalized rank regression

Muhammad Hisyam Lee, Z. Algamal, A. M. Al-Fakih, 2016 .

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

L. Abualigah, Z. Algamal, M. A. Elaziz, 2022, Neural computing & applications.

Penalized Poisson Regression Model using adaptive modified Elastic Net Penalty

Z. Algamal, 2015 .

Hyperparameters optimization of support vector regression using black hole algorithm

Z. Algamal, Saifuldeen Dheyauldeen Alrefaee, Salih Muayad Al Bakal, 2022 .

Performance of the Ridge and Liu Estimators in the zero-inflated Bell Regression Model

Z. Algamal, A. Lukman, M. Abonazel, 2022, Journal of Mathematics.

A New Two-parameter Estimator for the Gamma Regression Model

Z. Algamal, Yasin Asar, 2022, Statistics, Optimization & Information Computing.

A sparse QSRR model for predicting retention indices of essential oils based on robust screening approach

Z. Algamal, A. M. Al-Fakih, M. H. Lee, 2017, SAR and QSAR in environmental research.

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

Muhammad Hisyam Lee, Z. Algamal, 2018, Advances in Data Analysis and Classification.

Jackknifed Liu-type estimator in the Conway-Maxwell Poisson regression model

Z. Algamal, Nazik J. Sadik, H. A. Rasheed, 2022 .

Improving penalized regression-based clustering model in big data

Z. Algamal, O. Qasim, Sarah Ghanim Mahmood Al-Kababchee, 2021, Journal of Physics: Conference Series.

Quantitative structure–activity relationship model for prediction study of corrosion inhibition efficiency using two‐stage sparse multiple linear regression

Hasmerya Maarof, Muhammad Hisyam Lee, Muhammad Hisyam Lee, 2016 .

Bayesian bridge quantile regression

Rahim Alhamzawi, Zakariya Yahya Algamal, Z. Algamal, 2019, Commun. Stat. Simul. Comput..

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

Rahim Alhamzawi, Haithem Taha Mohammad Ali, Zakariya Yahya Algamal, 2018, Comput. Biol. Medicine.

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

Zakariya Yahya Algamal, Aiedh Mrisi Alharthi, Muhammad Hisyam Lee, 2021 .

High‐dimensional QSAR prediction of anticancer potency of imidazo[4,5‐b]pyridine derivatives using adjusted adaptive LASSO

Zakariya Yahya Algamal, Muhammad Hisyam Lee, Z. Algamal, 2015 .

QSAR classification model for diverse series of antifungal agents based on improved binary differential search algorithm

Haithem Taha Mohammad Ali, Z Y Algamal, A M Al-Fakih, 2019, SAR and QSAR in environmental research.

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

Zakariya Yahya Algamal, Omar Saber Qasim, Niam Abdulmunim Al-Thanoon, 2018, Comput. Biol. Medicine.

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

Muhammad Hisyam Lee, Zakariya Yahya Algamal, Muhammad Hisyam Lee, 2018, Advances in Data Analysis and Classification.

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

Muhammad Hisyam Lee, Zakariya Yahya Algamal, Muhammad Hisyam Lee, 2015, Expert Syst. Appl..

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

Muhammad Hisyam Lee, Zakariya Yahya Algamal, Muhammad Hisyam Lee, 2015, Comput. Biol. Medicine.

Improving whale optimization algorithm for feature selection with a time-varying transfer function

Zakariya Yahya Algamal, Mohammed Abdulrazaq Kahya, Suhaib Abduljabbar Altamir, 2021, Numerical Algebra, Control & Optimization.

Weighted L1-norm Logistic Regression for Gene Selection of Microarray Gene Expression Classification

Muhammad Hisyam Lee, Zakariya Yahya Algamal, Aiedh Mrisi Alharthi, 2020 .

High Dimensional Logistic Regression Model using Adjusted Elastic Net Penalty

Zakariya Yahya Algamal, Muhammad Hisyam Lee, Z. Algamal, 2015 .

Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model

Mohammed A. A. Al-qaness, Dalia Yousri, Ahmed A. Ewees, 2021, Engineering with Computers.

Diagnostic in Poisson Regression Models

Z. Algamal, 2012 .

Feature selection based on chaotic binary black hole algorithm for data classification

Omar Saber Qasim, Niam Abdulmunim Al-Thanoon, Zakariya Yahya Algamal, 2020 .

Generalized ridge estimator shrinkage estimation based on particle swarm optimization algorithm

Z. Algamal, Qamar Abdul Kareem, 2020, IRAQI JOURNAL OF STATISTICAL SCIENCES.

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

L. Abualigah, Z. Algamal, M. A. Elaziz, 2022, Neural Computing and Applications.

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

Zakariya Yahya Algamal, Omar Saber Qasim, Z. Algamal, 2021, Int. J. Comput. Sci. Math..

A Cox Proportional-Hazards Model Based on an Improved Aquila Optimizer with Whale Optimization Algorithm Operators

R. M. Ghoniem, L. Abualigah, Z. Algamal, 2022, Mathematics.

Gene selection in cox regression model based on a new adaptive elastic net penalty

Z. Algamal, Oday Isam Alskal, 2020, IRAQI JOURNAL OF STATISTICAL SCIENCES.

Gene selection in Cox regression model based on a new adaptive penalized method

Z. Algamal, Oday Isam Alskal, Zakariya Yahya Algamal, 2020 .

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

Omar Saber Qasim, Zakariya Yahya Algamal, Omar Mohammed Ismael, 2020, Journal of Chemometrics.

Paired Bootstrapping procedure in Gamma Regression Model using R

Zakariya Yahya Algamal, Khairy B. Rasheed, K. Rasheed, 2011 .

Applying Penalized Binary Logistic Regression with Correlation Based Elastic Net for Variables Selection

Muhammad Hisyam Lee, Z. Algamal, 2015 .

Classification of Chronic Kidney Disease Data via Three Algorithms

Z. Algamal, S. W. Mahmood, G. Basheer, 2020 .

QSAR classification model for diverse series of antifungal agents based on binary coyote optimization algorithm

Z. Algamal, M. Qasim, A. M. Al-Fakih, 2023, SAR and QSAR in environmental research.

Improving binary crow search algorithm for feature selection

Z. Algamal, Z. A. H. Alnaish, 2023, J. Intell. Syst..

A novel molecular descriptor selection method in QSAR classification model based on weighted penalized logistic regression

Zakariya Yahya Algamal, Muhammad Hisyam Lee, Z. Algamal, 2017 .

A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives

Z Y Algamal, M H Lee, Z. Algamal, 2017, SAR and QSAR in environmental research.

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

Zakariya Yahya Algamal, Z. Algamal, 2018, Commun. Stat. Simul. Comput..

A new method for choosing the biasing parameter in ridge estimator for generalized linear model

Z. Algamal, 2018, Chemometrics and Intelligent Laboratory Systems.

A penalized quantitative structure–property relationship study on melting point of energetic carbocyclic nitroaromatic compounds using adaptive bridge penalty

Z. Algamal, A. M. Al-Fakih, M. H. Lee, 2018, SAR and QSAR in environmental research.

Variable Selection in Count Data Regression Model based on Firefly Algorithm

Zakariya Yahya Algamal, Z. Algamal, 2019, Statistics, Optimization & Information Computing.

Non-transformed Principal Component Technique on Weekly Construction Stock Market Price

Muhammad Hisyam Lee, Z. Algamal, Y. Andu, 2019, MATEMATIKA.

Generalized dynamic principal component for monthly nonstationary stock market price in technology sector

Muhammad Hisyam Lee, Z. Algamal, Y. Andu, 2018, Journal of Physics: Conference Series.

Adjusted Adaptive LASSO in High-Dimensional Poisson Regression Model

Zakariya Yahya Algamal, Muhammad Hisyam Lee, Z. Algamal, 2015 .

The beta Liu-type estimator: simulation and application

Z. Algamal, K. Akay, Esra Ertan, 2023, Hacettepe Journal of Mathematics and Statistics.

Biased estimators in Poisson regression model in the presence of multicollinearity: A subject review

Z. Algamal, 2018 .

Almost unbiased ridge estimator in the count data regression models

Zakariya Yahya Algamal, Fedaa Noeel, Z. Algamal, 2021 .

Proposed methods in estimating the ridge regression parameter in Poisson regression model

Z. Algamal, Mazin M. Alanaz, 2018 .

Jackknifed Liu-type Estimator in Poisson Regression Model

Z. Algamal, Ahmed Alkhateeb, 2020 .

A New Ridge Estimator for the Poisson Regression Model

Z. Algamal, N. Rashad, 2019, Iranian Journal of Science and Technology, Transactions A: Science.

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

Ibrahim M. Taha, Z. Algamal, M. Abonazel, 2022, Frontiers in Applied Mathematics and Statistics.

Developing a Liu‐type estimator in beta regression model

Z. Algamal, M. Abonazel, M. R. Abonazel, 2021, Concurr. Comput. Pract. Exp..

Performance of ridge estimator in inverse Gaussian regression model

Z. Algamal, 2019 .

Liu-type estimator for the gamma regression model

Zakariya Yahya Algamal, Yasin Asar, Z. Algamal, 2018, Commun. Stat. Simul. Comput..

Jackknifing K-L estimator in Poisson regression model

Z. Algamal, Abed Ali Hamad, 2022, Periodicals of Engineering and Natural Sciences (PEN).

Jackknifed Liu-type estimator in the negative binomial regression model

Z. Algamal, N. Rashad, Dhafer Myasar Jabur, 2021 .

A New Ridge-Type Estimator for the Gamma Regression Model

Z. Algamal, A. Lukman, I. Dawoud, 2021, Scientifica.

The KL estimator for the inverse Gaussian regression model

Zakariya Yahya Algamal, Kayode Ayinde, B. M. Golam Kibria, 2021, Concurr. Comput. Pract. Exp..

Modified jackknife ridge estimator for the Conway-Maxwell-Poisson model

Z. Algamal, M. Abonazel, Fuad A. Awwad, 2023, Scientific African.

A new Jackknifing ridge estimator for logistic regression model

Z. Algamal, N. Hammood, 2022, Pakistan Journal of Statistics and Operation Research.

Some almost unbiased ridge regression estimators for the zero-inflated negative binomial regression model

Z. Algamal, Younus Al-Taweel, 2020 .

A new two-parameter estimator for the inverse Gaussian regression model with application in chemometrics

Z. Algamal, Rehad Shamany, Nada Nazar Alobaidi, 2019 .

Shrinkage estimators for gamma regression model

Z. Algamal, 2018 .

Generalized ridge estimator in negative binomial regression model

Z. Algamal, N. Rashad, N. Hammood, 2021 .

Improving K-means clustering based on firefly algorithm

Z. Algamal, Amal Mahmood Naji Al Radhwani, 2021 .

High‐dimensional QSAR classification model for anti‐hepatitis C virus activity of thiourea derivatives based on the sparse logistic regression model with a bridge penalty

Zakariya Yahya Algamal, Muhammad Hisyam Lee, Z. Algamal, 2017 .

An Investigational Modeling Approach for Improving Gene Selection using Regularized Cox Regression Model

Z. Algamal, G. Abdallh, 2023, Mathematical Biology and Bioinformatics.

High Dimensional QSAR Study of Mild Steel Corrosion Inhibition in acidic medium by Furan Derivatives

Zakariya Yahya Algamal, Hasmerya Maarof, Hassan H. Abdallah, 2015, International Journal of Electrochemical Science.

A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics

Zakariya Yahya Algamal, Omar Saber Qasim, Niam Abdulmunim Al-Thanoon, 2019, Chemometrics and Intelligent Laboratory Systems.

Jackknifing Ridge Estimator for Logistic Regression Model

Z. Algamal, N. Hammood, 2022 .

Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression

Haithem Taha Mohammad Ali, Muhammad Hisyam Lee, Zakariya Yahya Algamal, 2021 .

An efficient gene selection method for high-dimensional microarray data based on sparse logistic regression

Zakariya Yahya Algamal, Z. Algamal, 2017 .

Improving nature-inspired algorithms for feature selection

Zakariya Yahya Algamal, Omar Saber Qasim, Niam Abdulmunim Al-Thanoon, 2021, Journal of Ambient Intelligence and Humanized Computing.

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

Z. Algamal, O. Qasim, Sarah Ghanim Mahmood Al-kababchee, 2023, J. Intell. Syst..

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

Omar Mohammed Ismael, Omar Saber Qasim, Zakariya Yahya Algamal, 2020, Journal of Chemometrics.

A new adaptive algorithm for v-support vector regression with feature selection using Harris hawks optimization algorithm

Omar Mohammed Ismael, Z. Algamal, O. Qasim, 2021 .

Prediction of blood lead level in maternal and fetal us-ing generalized linear model

Haithem Taha Mohammad Ali, Z. Algamal, 2017 .

http://journal.uad.ac.id/index.php/TELKOMNIKA A modified squirrel search algorithm for solving facility layout

Z. Algamal, N. Al-Saati, 2022 .

Smoothing parameter selection in Nadaraya-Watson kernel nonparametric regression using nature-inspired algorithm optimization

Z. Algamal, Zinah Ameer Basheer, 2020, IRAQI JOURNAL OF STATISTICAL SCIENCES.

Modified Jackknife Ridge Estimator for Beta Regression Model With Application to Chemical Data

Z. Algamal, A. Lukman, M. R. Abonazel, 2023, International Journal of Mathematics, Statistics, and Computer Science.

Shrinkage estimators for semiparametric regression model

Z. Algamal, Hadi Mohammed, 2021 .

Employing particle swarm optimization algorithm for shrinkage parameter estimation in generalized Liu estimator

Z. Algamal, Qamar Abdulkareem Abdulazeez, 2020 .

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

Z. Algamal, M. Khaleel, Heyaa Nadhim Ahmed Alangood, 2024, BIO Web of Conferences.

Support Vector Machine Procedure as a Data Mining Multi-class Classifier

Zakariya Yahya Algamal, Z. Algamal, 2012, IRAQI JOURNAL OF STATISTICAL SCIENCES.

Tuning parameter selectors for bridge penalty based on particle swarm optimization method

Z. Algamal, Nazik J. Sadik, A. Rasheed, 2023, Periodicals of Engineering and Natural Sciences (PEN).

Liu regression after random forest for prediction and modeling in high dimension

Z. Algamal, M. Arashi, A. Lukman, 2022, Journal of Chemometrics.

Least absolute deviation estimator‐bridge variable selection and estimation for quantitative structure–activity relationship model

Z. Algamal, Z. T. Al‐Dabbagh, 2019, Journal of Chemometrics.

Classification of gene expression autism data based on adaptive penalized logistic regression

Zakariya Yahya Algamal, Z. Algamal, 2017 .

Improving kernel semi-parametric regression model based on a bat optimization algorithm

Z. Algamal, O. Qasim, F. AL-Taie, 2024, INTERNATIONAL WORKSHOP ON MACHINE LEARNING AND QUANTUM COMPUTING APPLICATIONS IN MEDICINE AND PHYSICS: WMLQ2022.

Smoothing parameter selection in kernel nonparametric regression using bat optimization algorithm

Z. Algamal, Marwah Yahya Mustafa, 2021 .

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

Z. Algamal, Rehad Shamany, 2021 .