Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (ICSOFT (SE/MUSE/GSDCA), 2008)

Software Project Similarity Measurement Based on Fuzzy C-Means. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (ICSP, 2008)

Improving analogy software effort estimation using fuzzy feature subset selection algorithm. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (PROMISE@ICSE, 2008)

Software effort estimation based on weighted fuzzy grey relational analysis. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (PROMISE, 2009)

Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. - Mohammad Azzeh; Peter I. Cowling; Daniel Neagu (CIT, 2010)

Fuzzy grey relational analysis for software effort estimation. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (Empir. Softw. Eng., 2010)

Analogy-based software project effort estimation : contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation. - Mohammad Azzeh (2010)

Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy. - Mohammad Azzeh (CIT, 2011)

Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm. - Mohammad Azzeh (KES (2), 2011)

Software effort estimation based on optimized model tree. - Mohammad Azzeh (PROMISE, 2011)

Analogy-based software effort estimation using Fuzzy numbers. - Mohammad Azzeh; Daniel Neagu; Peter I. Cowling (J. Syst. Softw., 2011)

A Treeboost Model for Software Effort Estimation Based on Use Case Points. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho; Mohammad Azzeh (ICMLA (2), 2012)

A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation. - Mohammad Azzeh (Empir. Softw. Eng., 2012)

A comparison between decision trees and decision tree forest models for software development effort estimation. - Ali Bou Nassif; Mohammad Azzeh; Luiz Fernando Capretz; Danny Ho (ICCIT, 2013)

Fuzzy Model Tree for Early Effort Estimation. - Mohammad Azzeh; Ali Bou Nassif (ICMLA (2), 2013)

Value of ranked voting methods for estimation by analogy. - Mohammad Azzeh; Marwan Alseid (IET Softw., 2013)

Errata 'Value of ranked voting methods for estimation by analogy', IET Softw., 2013, 7, (4), pp 195-202. - Mohammad Azzeh; Marwan Alseid (IET Softw., 2014)

An Application of Classification and Class Decomposition to Use Case Point Estimation Method. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2015)

Class Decomposition Using K-Means and Hierarchical Clustering. - Shadi Banitaan; Ali Bou Nassif; Mohammad Azzeh (ICMLA, 2015)

Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. - Mohammad Azzeh; Ali Bou Nassif (IET Softw., 2015)

An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. - Mohammad Azzeh; Ali Bou Nassif; Leandro L. Minku (J. Syst. Softw., 2015)

User Movement Prediction: The Contribution of Machine Learning Techniques. - Shadi Banitaan; Mohammad Azzeh; Ali Bou Nassif (ICMLA, 2016)

A hybrid model for estimating software project effort from Use Case Points. - Mohammad Azzeh; Ali Bou Nassif (Appl. Soft Comput., 2016)

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Fadi Almasalha (Neural Comput. Appl., 2016)

Guest editorial: special issue on predictive analytics using machine learning. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan; Daniel Neagu (Neural Comput. Appl., 2016)

Neural network models for software development effort estimation: a comparative study. - Ali Bou Nassif; Mohammad Azzeh; Luiz Fernando Capretz; Danny Ho (Neural Comput. Appl., 2016)

Robust Rank Aggregation method for Case-Base effort estimation. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan (CCECE, 2017)

Dataset Quality Assessment: An extension for analogy based effort estimation. - Mohammad Azzeh (CoRR, 2017)

Learning best K analogies from data distribution for case-based software effort estimation. - Mohammad Azzeh; Yousef Elsheikh (CoRR, 2017)

An Optimized Analogy-Based Project Effort Estimation. - Mohammad Azzeh; Yousef Elsheikh; Marwan Alseid (CoRR, 2017)

A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods. - Israa Ahmed Zriqat; Ahmad Mousa Altamimi; Mohammad Azzeh (CoRR, 2017)

Analyzing the relationship between project productivity and environment factors in the use case points method. - Mohammad Azzeh; Ali Bou Nassif (J. Softw. Evol. Process., 2017)

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Cuauhtémoc López Martín (ICMLA, 2018)

Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2018)

Machine Learning Classifications of Coronary Artery Disease. - Ali Bou Nassif; Omar Mahdi; Qassim Nasir; Manar AbuTalib; Mohammad Azzeh (CoRR, 2018)

Comparative analysis of soft computing techniques for predicting software effort based use case points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (IET Softw., 2018)

Project productivity evaluation in early software effort estimation. - Mohammad Azzeh; Ali Bou Nassif (J. Softw. Evol. Process., 2018)

Speech Recognition Using Deep Neural Networks: A Systematic Review. - Ali Bou Nassif; Ismail Shahin; Imtinan Basem Attili; Mohammad Azzeh; Khaled Shaalan (IEEE Access, 2019)

Software Development Effort Estimation Using Regression Fuzzy Models. - Ali Bou Nassif; Mohammad Azzeh; Ali Idri; Alain Abran (Comput. Intell. Neurosci., 2019)

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (CoRR, 2019)

Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. - Cuauhtémoc López Martín; Yenny Villuendas-Rey; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (J. Syst. Softw., 2020)

Application of Machine Learning for Online Reputation Systems. - Ahmad Alqwadri; Mohammad Azzeh; Fadi Almasalha (Int. J. Autom. Comput., 2021)

An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision. - Mohammad Al-Oudat; Saleh Ali Alomari; Hazem Qattous; Mohammad Azzeh; Tariq Al-Munaizel (Int. J. Comput. Commun. Control, 2021)

Predicting software effort from use case points: A systematic review. - Mohammad Azzeh; Ali Bou Nassif; Imtinan Basem Attili (Sci. Comput. Program., 2021)

Empirical analysis on productivity prediction and locality for use case points method. - Mohammad Azzeh; Ali Bou Nassif; Cuauhtémoc López Martín (Softw. Qual. J., 2021)

Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. - Abedalrhman Alkhateeb; Bashier ElKarami; Hazem Qattous; Abdullah Al-Refai; Noor AlAfeshat; Behnam Shahrrava; Mohammad Azzeh (ICMLA, 2022)

On Selection of Optimal Kernel Function for Software Defect Prediction. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2022)

Software Defect Density Prediction Using Deep Learning. - Firas Alghanim; Mohammad Azzeh; Ammar Elhassan; Hazem Qattous (IEEE Access, 2022)

Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. - Ali Bou Nassif; Bassel Soudan; Mohammad Azzeh; Imtinan Basem Attilli; Omar AlMulla (CoRR, 2022)

Examining stability of machine learning methods for predicting dementia at early phases of the disease. - Sinan Faouri; Mahmood AlBashayreh; Mohammad Azzeh (CoRR, 2022)

Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge. - Mohammad Azzeh; Ahmad Mousa Altamimi; Mahmood AlBashayreh; Mohammad Al-Oudat (CoRR, 2022)

Predicting students' learning styles using regression techniques. - Ahmad Mousa Altamimi; Mohammad Azzeh; Mahmoud AlBashayreh (CoRR, 2022)

Software Defect Prediction Using Support Vector Machine. - Haneen Abu Alhija; Mohammad Azzeh; Fadi Almasalha (CoRR, 2022)

On obtaining a stable vote ranking methodology for implementing e-government strategies. - Yousef Elsheikh; Yousef Alqasrawi; Mohammad Azzeh (J. King Saud Univ. Comput. Inf. Sci., 2022)

Locally weighted regression with different kernel smoothers for software effort estimation. - Yousef Alqasrawi; Mohammad Azzeh; Yousef Elsheikh (Sci. Comput. Program., 2022)

On the value of project productivity for early effort estimation. - Mohammad Azzeh; Ali Bou Nassif; Yousef Elsheikh; Lefteris Angelis (Sci. Comput. Program., 2022)

Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms. - Maysa Khalil; Mohammad Azzeh (ICMLA, 2023)

Software Effort Estimation Using Deep Learning and Fuzzy Modelling. - Mohammad Azzeh (ICAC, 2023)

An optimized case-based software project effort estimation using genetic algorithm. - Shaima Hameed; Yousef Elsheikh; Mohammad Azzeh (Inf. Softw. Technol., 2023)

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. - Fatma Hilal Yagin; Ipek Balikci Cicek; Abedalrhman Alkhateeb; Burak Yagin; Cemil Colak; Mohammad Azzeh; Sami Akbulut (Comput. Biol. Medicine, 2023)

Examining the performance of kernel methods for software defect prediction based on support vector machine. - Mohammad Azzeh; Yousef Elsheikh; Ali Bou Nassif; Lefteris Angelis (Sci. Comput. Program., 2023)

Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier. - Mohammad Azzeh; Ali Bou Nassif; Manar Abu Talib; Hajra Iqbal (e Informatica Softw. Eng. J., 2024)

Hate speech detection in the Arabic language: corpus design, construction, and evaluation. - Ashraf Ahmad; Mohammad Azzeh; Eman Al Nagi; Qasem Abu Al-Haija; Dana Halabi; Abdullah Aref; Yousef S. Abu Hour (Frontiers Artif. Intell., 2024)

A soft computing approach for software defect density prediction. - Mohammad Azzeh; Yousef Alqasrawi; Yousef Elsheikh (J. Softw. Evol. Process., 2024)

Fake news detection models using the largest social media ground-truth dataset (TruthSeeker). - Maysa Khalil; Mohammad Azzeh (Int. J. Speech Technol., 2024)

Software effort estimation using convolutional neural network and fuzzy clustering. - Mohammad Azzeh; Abedalrhman Alkhateeb; Ali Bou Nassif (Neural Comput. Appl., 2024)

Arabic cyberbullying detection system using convolutional neural network and multi-head attention. - Mohammad Azzeh; Bushra Alhijawi; Abedrahman Tabbaza; Omar Alabboshi; Nancy Hamdan; Dareen Jaser (Int. J. Speech Technol., 2024)

Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. - Manar Abu Talib; Ali Bou Nassif; Mohammad Azzeh; Yaser Alesh; Yaman Afadar (Neural Comput. Appl., 2024)

Analyzing the Role of Class Rebalancing Techniques in Software Defect Prediction. - Yousef Alqasrawi; Mohammad Azzeh; Yousef Elsheikh (Int. J. Inf. Technol. Decis. Mak., 2024)

Software defect density prediction using grey system theory and fuzzy logic. - Mohammad Azzeh; Yousef Elsheikh; Yousef Alqasrawi (Soft Comput., 2024)

NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data. - Ibrahim Abed Al-Ghafer; Noor AlAfeshat; Lujain Alshomali; Shaheen Alanee; Hazem Qattous; Mohammad Azzeh; Abedalrhman Alkhateeb (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Correction: Software effort estimation using convolutional neural network and fuzzy clustering. - Mohammad Azzeh; Abedalrhman Alkhateeb; Ali Bou Nassif (Neural Comput. Appl., 2025)

NQF: A deep learning model for classifying course outcomes in the national qualification framework. - Ammar El-Hassan; Mohammad Azzeh; Bashar El-Rashdan (Int. J. Speech Technol., 2025)

Predicting lung cancer TNM staging from radiological reports using natural language processing and machine learning. - Lamia Al-Kershi; Ahmad Altamimi; Mohammad Azzeh (Netw. Model. Anal. Health Informatics Bioinform., 2025)