Search Results - "Algamal, Zakariya Yahya"

Improving binary crow search algorithm for feature selection by Hamed Alnaish, Zakaria A., Algamal, Zakariya Yahya

“…The feature selection (FS) process has an essential effect in solving many problems such as prediction, regression, and classification to get the optimal…”
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Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm by Al-kababchee, Sarah Ghanim Mahmood, Algamal, Zakariya Yahya, Qasim, Omar Saber

“…Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a…”
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Developing a ridge estimator for the gamma regression model by Algamal, Zakariya Yahya

“…The ridge regression model has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The gamma…”
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Shrinkage parameter selection via modified cross-validation approach for ridge regression model by Algamal, Zakariya Yahya

“…The ridge regression estimator has been consistently demonstrated to be an attractive shrinkage method to reduce the effects of multicollinearity. The choice…”
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Performance of ridge estimator in inverse Gaussian regression model by Yahya Algamal, Zakariya

“…The presence of multicollinearity among the explanatory variables has undesirable effects on the maximum likelihood estimator (MLE). Ridge estimator (RE) is a…”
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Liu-type estimator for the gamma regression model by Algamal, Zakariya Yahya, Asar, Yasin

“…In this paper, we propose a new biased estimator called Liu-type estimator in gamma regression models in the presence of collinearity. We also consider some…”
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Improved estimators in bell regression model with application by Seifollahi, Solmaz, Bevrani, Hossein, Algamal, Zakariya Yahya

“…In this paper, we propose the application of shrinkage strategies to estimate coefficients in the Bell regression models when prior information about the…”
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A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification by Algamal, Zakariya Yahya, Lee, Muhammad Hisyam

“…The common issues of high-dimensional gene expression data are that many of the genes may not be relevant, and there exists a high correlation among genes…”
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Developing a Liu‐type estimator in beta regression model by Algamal, Zakariya Yahya, Abonazel, Mohamed R.

“…The beta regression model is a commonly used when the response variable has the form of fractions or percentages. The maximum likelihood (ML) estimator is used…”
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Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning by Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…Many real problems have been solved by support vector regression, especially v‐support vector regression (v‐SVR), but there are hyperparameters that usually…”
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Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification by Al-Thanoon, Niam Abdulmunim, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…In cancer classification, gene selection is one of the most important bioinformatics related topics. The selection of genes can be considered to be a variable…”
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Bias reduction of maximum likelihood estimation in exponentiated Teissier distribution by Ahmed, Ahmed Abdulhadi, Algamal, Zakariya Yahya, Albalawi, Olayan

“…The exponentiated Teissier distribution (ETD) offers an alternative for modeling survival data, taking into account flexibility in modeling data with…”
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Gene selection for microarray gene expression classification using Bayesian Lasso quantile regression by Algamal, Zakariya Yahya, Alhamzawi, Rahim, Mohammad Ali, Haithem Taha

“…Gene selection has been proven to be an effective way to improve the results of many classification methods. However, existing gene selection techniques in…”
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Least absolute deviation estimator‐bridge variable selection and estimation for quantitative structure–activity relationship model by Al‐Dabbagh, Zainab Tawfeeq, Algamal, Zakariya Yahya

“…Regression models are frequently encountered in many scientific fields, especially in quantitative structure–activity relationship (QSAR) modeling. The…”
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IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM by Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…Numerous real-world problems have been addressed using support vector regression, particularly v-support vector regression (v-SVR), but some parameters need to…”
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Variable selection in Poisson regression model based on chaotic meta-heuristic search algorithm by Alangood, Heyaa Nadhim Ahmed, Algamal, Zakariya Yahya, Khaleel, Mundher Abdullah

“…By determining the most significant variables that are connected to the response variable, Increasing prediction accuracy and processing speed can be achieved…”
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A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application by Abonazel, Mohamed R., Algamal, Zakariya Yahya, Awwad, Fuad A., Taha, Ibrahim M.

“…The beta regression is a widely known statistical model when the response (or the dependent) variable has the form of fractions or percentages. In most of the…”
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Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model by Ewees, Ahmed A., Al-qaness, Mohammed A. A., Abualigah, Laith, Oliva, Diego, Algamal, Zakariya Yahya, Anter, Ahmed M., Ali Ibrahim, Rehab, Ghoniem, Rania M., Abd Elaziz, Mohamed

“…Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining,…”
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Gene selection and classification of microarray gene expression data based on a new adaptive L1-norm elastic net penalty by Alharthi, Aiedh Mrisi, Lee, Muhammad Hisyam, Algamal, Zakariya Yahya

“…The removal of irrelevant and insignificant genes has always been a major step in microarray data analysis. The application of gene selection methods in…”
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Modified jackknife ridge estimator for the Conway-Maxwell-Poisson model by Algamal, Zakariya Yahya, Abonazel, Mohamed R., Awwad, Fuad A., Tag Eldin, Elsayed

“…Recently, research papers have shown a strong interest in modeling count data. The over-dispersion or under-dispersion are frequently seen in the count data…”
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