Mohammad Azzeh

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 69

Top Venues

CoRR

ICMLA

Sci. Comput. Program.

Neural Comput. Appl.

University of Bradford, UK (PHD)

Education History

University of Bradford, UK

PHD

Publications

Ibrahim Abed Al-Ghafer, Noor AlAfeshat, Lujain Alshomali, Shaheen Alanee, Hazem Qattous, Mohammad Azzeh, Abedalrhman Alkhateeb
NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data. Netw. Model. Anal. Health Informatics Bioinform. 13 (1) (2024)
Ashraf Ahmad, Mohammad Azzeh, Eman Al Nagi, Qasem Abu Al-Haija, Dana Halabi, Abdullah Aref, Yousef S. Abu Hour
Hate speech detection in the Arabic language: corpus design, construction, and evaluation. Frontiers Artif. Intell. 7 (2024)
Mohammad Azzeh, Ali Bou Nassif, Manar Abu Talib, Hajra Iqbal
Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier. e Informatica Softw. Eng. J. 18 (1) (2024)
Mohammad Azzeh, Yousef Alqasrawi, Yousef Elsheikh
A soft computing approach for software defect density prediction. J. Softw. Evol. Process. 36 (4) (2024)
Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif
Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. 36 (23) (2024)
Maysa Khalil, Mohammad Azzeh
Fake news detection models using the largest social media ground-truth dataset (TruthSeeker). Int. J. Speech Technol. 27 (2) (2024)
Shaima Hameed, Yousef Elsheikh, Mohammad Azzeh
An optimized case-based software project effort estimation using genetic algorithm. Inf. Softw. Technol. 153 (2023)
Mohammad Azzeh, Yousef Elsheikh, Ali Bou Nassif, Lefteris Angelis
Examining the performance of kernel methods for software defect prediction based on support vector machine. Sci. Comput. Program. 226 (2023)
Fatma Hilal Yagin, Ipek Balikci Cicek, Abedalrhman Alkhateeb, Burak Yagin, Cemil Colak, Mohammad Azzeh, Sami Akbulut
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. Comput. Biol. Medicine 154 (2023)
Maysa Khalil, Mohammad Azzeh
Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms. ICMLA (2023)
Mohammad Azzeh
Software Effort Estimation Using Deep Learning and Fuzzy Modelling. ICAC (2023)
Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
Locally weighted regression with different kernel smoothers for software effort estimation. Sci. Comput. Program. 214 (2022)
Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
Locally Weighted Regression with different Kernel Smoothers for Software Effort Estimation. CoRR (2022)
Sinan Faouri, Mahmood AlBashayreh, Mohammad Azzeh
Examining stability of machine learning methods for predicting dementia at early phases of the disease. CoRR (2022)
Ahmad Mousa Altamimi, Mohammad Azzeh, Mahmoud AlBashayreh
Predicting students' learning styles using regression techniques. CoRR (2022)
Haneen Abu Alhija, Mohammad Azzeh, Fadi Almasalha
Software Defect Prediction Using Support Vector Machine. CoRR (2022)
Ahmad Alqwadri, Mohammad Azzeh, Fadi Almasalha
Application of Machine Learning for Online Reputation Systems. CoRR (2022)
Mohammad Azzeh, Ahmad Mousa Altamimi, Mahmood AlBashayreh, Mohammad Al-Oudat
Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge. CoRR (2022)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA (2022)
Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis
On the Value of Project Productivity for Early Effort Estimation. CoRR (2022)
Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis
On the value of project productivity for early effort estimation. Sci. Comput. Program. 219 (2022)
Abedalrhman Alkhateeb, Bashier ElKarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh
Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. ICMLA (2022)
Firas Alghanim, Mohammad Azzeh, Ammar Elhassan, Hazem Qattous
Software Defect Density Prediction Using Deep Learning. IEEE Access 10 (2022)
Mohammad Al-Oudat, Saleh Alomari, Hazem Qattous, Mohammad Azzeh, Tariq Al-Munaizel
An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision. CoRR (2022)
Ali Bou Nassif, Bassel Soudan, Mohammad Azzeh, Imtinan Basem Attilli, Omar AlMulla
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. CoRR (2022)
Yousef Elsheikh, Yousef Alqasrawi, Mohammad Azzeh
On obtaining a stable vote ranking methodology for implementing e-government strategies. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part B) (2022)
Mohammad Al-Oudat, Saleh Alomari, Hazem Qattous, Mohammad Azzeh, Tariq Al-Munaizel
An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision. Int. J. Comput. Commun. Control 16 (5) (2021)
Ahmad Alqwadri, Mohammad Azzeh, Fadi Almasalha
Application of Machine Learning for Online Reputation Systems. Int. J. Autom. Comput. 18 (3) (2021)
Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. CoRR (2021)
Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili
Predicting software effort from use case points: A systematic review. Sci. Comput. Program. 204 (2021)
Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
Empirical analysis on productivity prediction and locality for use case points method. Softw. Qual. J. 29 (2) (2021)
Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
-nearest neighborhood output distance minimization for predicting the defect density of software projects. J. Syst. Softw. 167 (2020)
Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili
Predicting Software Effort from Use Case Points: A Systematic Review. CoRR (2020)
Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran
Software Development Effort Estimation Using Regression Fuzzy Models. CoRR (2019)
Ali Bou Nassif, Ismail Shahin, Imtinan Basem Attili, Mohammad Azzeh, Khaled Shaalan
Speech Recognition Using Deep Neural Networks: A Systematic Review. IEEE Access 7 (2019)
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR (2019)
Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran
Software Development Effort Estimation Using Regression Fuzzy Models. Comput. Intell. Neurosci. 2019 (2019)
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. ICMLA (2018)
Ali Bou Nassif, Omar Mahdi, Qassim Nasir, Manar AbuTalib, Mohammad Azzeh
Machine Learning Classifications of Coronary Artery Disease. CoRR (2018)
Mohammad Azzeh, Ali Bou Nassif
Project productivity evaluation in early software effort estimation. J. Softw. Evol. Process. 30 (12) (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
Comparative analysis of soft computing techniques for predicting software effort based use case points. IET Softw. 12 (1) (2018)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR (2018)
Mohammad Azzeh, Yousef Elsheikh
Learning best K analogies from data distribution for case-based software effort estimation. CoRR (2017)
Mohammad Azzeh, Yousef Elsheikh, Marwan Alseid
An Optimized Analogy-Based Project Effort Estimation. CoRR (2017)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation. CoRR (2017)
Mohammad Azzeh
Dataset Quality Assessment: An extension for analogy based effort estimation. CoRR (2017)
Mohammad Azzeh
Software effort estimation based on optimized model tree. CoRR (2017)
Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
Robust Rank Aggregation method for Case-Base effort estimation. CCECE (2017)
Mohammad Azzeh, Ali Bou Nassif
Analyzing the relationship between project productivity and environment factors in the use case points method. J. Softw. Evol. Process. 29 (9) (2017)
Mohammad Azzeh, Ali Bou Nassif
Fuzzy Model Tree For Early Effort Estimation. CoRR (2017)
Israa Ahmed Zriqat, Ahmad Mousa Altamimi, Mohammad Azzeh
A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods. CoRR (2017)
Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
Software stage-effort estimation based on association rule mining and fuzzy set theory. CoRR (2017)
Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. CoRR (2017)
Mohammad Azzeh, Ali Bou Nassif
Analyzing the Relationship between Project Productivity and Environment Factors in the Use Case Points Method. CoRR (2017)
Mohammad Azzeh, Ali Bou Nassif
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. CoRR (2017)
Mohammad Azzeh
Model tree based adaption strategy for software effort estimation by analogy. CoRR (2017)
Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
Neural Network Models for Software Development Effort Estimation: A Comparative Study. CoRR (2016)
Mohammad Azzeh, Ali Bou Nassif
A hybrid model for estimating software project effort from Use Case Points. Appl. Soft Comput. 49 (2016)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. Neural Comput. Appl. 27 (8) (2016)
Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
Neural network models for software development effort estimation: a comparative study. Neural Comput. Appl. 27 (8) (2016)
Shadi Banitaan, Mohammad Azzeh, Ali Bou Nassif
User Movement Prediction: The Contribution of Machine Learning Techniques. ICMLA (2016)
Mohammad Azzeh, Ali Bou Nassif
A Hybrid Model for Estimating Software Project Effort from Use Case Points. CoRR (2016)
Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. 27 (8) (2016)
Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. J. Syst. Softw. 103 (2015)
Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation. CoRR (2015)
Shadi Banitaan, Ali Bou Nassif, Mohammad Azzeh
Class Decomposition Using K-Means and Hierarchical Clustering. ICMLA (2015)
Mohammad Azzeh, Ali Bou Nassif
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. IET Softw. 9 (2) (2015)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
An Application of Classification and Class Decomposition to Use Case Point Estimation Method. ICMLA (2015)
Mohammad Azzeh, Marwan Alseid
Errata 'Value of ranked voting methods for estimation by analogy', IET Softw., 2013, 7, (4), pp 195-202. IET Softw. 8 (1) (2014)
Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
A comparison between decision trees and decision tree forest models for software development effort estimation. ICCIT (2013)
Mohammad Azzeh, Ali Bou Nassif
Fuzzy Model Tree for Early Effort Estimation. ICMLA (2) (2013)
Mohammad Azzeh, Marwan Alseid
Value of ranked voting methods for estimation by analogy. IET Softw. 7 (4) (2013)
Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho, Mohammad Azzeh
A Treeboost Model for Software Effort Estimation Based on Use Case Points. ICMLA (2) (2012)
Mohammad Azzeh
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation. Empir. Softw. Eng. 17 (1-2) (2012)
Mohammad Azzeh
Software effort estimation based on optimized model tree. PROMISE (2011)
Mohammad Azzeh
Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm. KES (2) (2011)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Analogy-based software effort estimation using Fuzzy numbers. J. Syst. Softw. 84 (2) (2011)
Mohammad Azzeh
Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy. CIT (2011)
Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. CIT (2010)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Fuzzy grey relational analysis for software effort estimation. Empir. Softw. Eng. 15 (1) (2010)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Software effort estimation based on weighted fuzzy grey relational analysis. PROMISE (2009)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Improving analogy software effort estimation using fuzzy feature subset selection algorithm. PROMISE@ICSE (2008)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. ICSOFT (SE/MUSE/GSDCA) (2008)
Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
Software Project Similarity Measurement Based on Fuzzy C-Means. ICSP (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohammad Azzeh