Mohammad Azzeh

98 papers C 10Journal 76Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid NLP model combining biomedical entities and deep embeddings for automated identification of cancer types in biomedical texts. Netw. Model. Anal. Health Informatics Bioinform. Majd Alnajjar, Rozan Hamzeh, Lujain Ghaith, Mahmoud Baker, Mohammad Azzeh, Omar Qawasmeh
2026	J	`jnl`	Cross-project software defects prediction using fuzzy embedding and deep learning. Inf. Softw. Technol. Mohammad Azzeh, Mohammad J. Abdel-Rahman
2025	J	`jnl`	Correction: Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif
2025	J	`jnl`	DOVE-FELM: A fusion-optimized feature selection and heterogeneous ensemble learning framework for early prediction of chronic kidney disease risk. Array Bilal Sowan, Li Zhang, Essam H. Houssein, Hazem Qattous, Mohammad Azzeh, Bayan Massad
2025	J	`jnl`	Integrative multi-omics approach for identifying and classifying high-risk patients in prostate cancer management. Neural Comput. Appl. Mohammad Azzeh, Noor Afeshat, Hazem Qattous, Abedrahman Alkhateeb
2025	J	`jnl`	NQF: A deep learning model for classifying course outcomes in the national qualification framework. Int. J. Speech Technol. Ammar El-Hassan, Mohammad Azzeh, Bashar El-Rashdan
2025	J	`jnl`	Polishing the black box: flexible model-based partitioning surrogate models for interpretable machine learning model. Int. J. Data Sci. Anal. Tariq Khasawneh, Mohammad Azzeh
2025	J	`jnl`	Predicting lung cancer TNM staging from radiological reports using natural language processing and machine learning. Netw. Model. Anal. Health Informatics Bioinform. Lamia Al-Kershi, Ahmad Altamimi, Mohammad Azzeh
2024	J	`jnl`	A soft computing approach for software defect density prediction. J. Softw. Evol. Process. Mohammad Azzeh, Yousef Alqasrawi, Yousef Elsheikh
2024	J	`jnl`	Analyzing the Role of Class Rebalancing Techniques in Software Defect Prediction. Int. J. Inf. Technol. Decis. Mak. Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
2024	J	`jnl`	Arabic cyberbullying detection system using convolutional neural network and multi-head attention. Int. J. Speech Technol. Mohammad Azzeh, Bushra Alhijawi, Abedrahman Tabbaza, Omar Alabboshi, Nancy Hamdan, Dareen Jaser
2024	J	`jnl`	Fake news detection models using the largest social media ground-truth dataset (TruthSeeker). Int. J. Speech Technol. Maysa Khalil, Mohammad Azzeh
2024	J	`jnl`	Hate speech detection in the Arabic language: corpus design, construction, and evaluation. Frontiers Artif. Intell. Ashraf Ahmad, Mohammad Azzeh, Eman Al Nagi, Qasem Abu Al-Haija, Dana Halabi, Abdullah Aref, Yousef S. Abu Hour
2024	J	`jnl`	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. Ibrahim Abed Al-Ghafer, Noor AlAfeshat, Lujain Alshomali, Shaheen Alanee, Hazem Qattous, Mohammad Azzeh, Abedalrhman Alkhateeb
2024	J	`jnl`	Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. Neural Comput. Appl. Manar Abu Talib, Ali Bou Nassif, Mohammad Azzeh, Yaser Alesh, Yaman Afadar
2024	J	`jnl`	Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier. e Informatica Softw. Eng. J. Mohammad Azzeh, Ali Bou Nassif, Manar Abu Talib, Hajra Iqbal
2024	J	`jnl`	Software defect density prediction using grey system theory and fuzzy logic. Soft Comput. Mohammad Azzeh, Yousef Elsheikh, Yousef Alqasrawi
2024	J	`jnl`	Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif
2023	J	`jnl`	An optimized case-based software project effort estimation using genetic algorithm. Inf. Softw. Technol. Shaima Hameed, Yousef Elsheikh, Mohammad Azzeh
2023	J	`jnl`	Examining the performance of kernel methods for software defect prediction based on support vector machine. Sci. Comput. Program. Mohammad Azzeh, Yousef Elsheikh, Ali Bou Nassif, Lefteris Angelis
2023	J	`jnl`	Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. Comput. Biol. Medicine Fatma Hilal Yagin, Ipek Balikci Cicek, Abedalrhman Alkhateeb, Burak Yagin, Cemil Colak, Mohammad Azzeh, Sami Akbulut
2023	—	`conf`	Software Effort Estimation Using Deep Learning and Fuzzy Modelling. ICAC Mohammad Azzeh
2023	C	`conf`	Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms. ICMLA Maysa Khalil, Mohammad Azzeh
2022	J	`jnl`	Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge. CoRR Mohammad Azzeh, Ahmad Mousa Altamimi, Mahmood AlBashayreh, Mohammad Al-Oudat
2022	J	`jnl`	An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision. CoRR Mohammad Al-Oudat, Saleh Ali Alomari, Hazem Qattous, Mohammad Azzeh, Tariq Al-Munaizel
2022	J	`jnl`	Application of Machine Learning for Online Reputation Systems. CoRR Ahmad Alqwadri, Mohammad Azzeh, Fadi Almasalha
2022	J	`jnl`	Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. CoRR Ali Bou Nassif, Bassel Soudan, Mohammad Azzeh, Imtinan Basem Attilli, Omar AlMulla
2022	J	`jnl`	Examining stability of machine learning methods for predicting dementia at early phases of the disease. CoRR Sinan Faouri, Mahmood AlBashayreh, Mohammad Azzeh
2022	J	`jnl`	Locally Weighted Regression with different Kernel Smoothers for Software Effort Estimation. CoRR Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
2022	J	`jnl`	Locally weighted regression with different kernel smoothers for software effort estimation. Sci. Comput. Program. Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
2022	C	`conf`	Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. ICMLA Abedalrhman Alkhateeb, Bashier Elkarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh
2022	C	`conf`	On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2022	J	`jnl`	On obtaining a stable vote ranking methodology for implementing e-government strategies. J. King Saud Univ. Comput. Inf. Sci. Yousef Elsheikh, Yousef Alqasrawi, Mohammad Azzeh
2022	J	`jnl`	On the Value of Project Productivity for Early Effort Estimation. CoRR Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis
2022	J	`jnl`	On the value of project productivity for early effort estimation. Sci. Comput. Program. Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis
2022	J	`jnl`	Predicting students' learning styles using regression techniques. CoRR Ahmad Mousa Altamimi, Mohammad Azzeh, Mahmoud AlBashayreh
2022	J	`jnl`	Software Defect Density Prediction Using Deep Learning. IEEE Access Firas Alghanim, Mohammad Azzeh, Ammar Elhassan, Hazem Qattous
2022	J	`jnl`	Software Defect Prediction Using Support Vector Machine. CoRR Haneen Abu Alhija, Mohammad Azzeh, Fadi Almasalha
2021	J	`jnl`	An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision. Int. J. Comput. Commun. Control Mohammad Al-Oudat, Saleh Ali Alomari, Hazem Qattous, Mohammad Azzeh, Tariq Al-Munaizel
2021	J	`jnl`	Application of Machine Learning for Online Reputation Systems. Int. J. Autom. Comput. Ahmad Alqwadri, Mohammad Azzeh, Fadi Almasalha
2021	J	`jnl`	Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. CoRR Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
2021	J	`jnl`	Empirical analysis on productivity prediction and locality for use case points method. Softw. Qual. J. Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
2021	J	`jnl`	Predicting software effort from use case points: A systematic review. Sci. Comput. Program. Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili
2020	J	`jnl`	Predicting Software Effort from Use Case Points: A Systematic Review. CoRR Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili
2020	J	`jnl`	Transformed J. Syst. Softw. Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2019	J	`jnl`	Software Development Effort Estimation Using Regression Fuzzy Models. Comput. Intell. Neurosci. Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran
2019	J	`jnl`	Software Development Effort Estimation Using Regression Fuzzy Models. CoRR Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran
2019	J	`jnl`	Speech Recognition Using Deep Neural Networks: A Systematic Review. IEEE Access Ali Bou Nassif, Ismail Shahin, Imtinan Basem Attili, Mohammad Azzeh, Khaled Shaalan
2019	J	`jnl`	v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2018	J	`jnl`	Comparative analysis of soft computing techniques for predicting software effort based use case points. IET Softw. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2018	C	`conf`	Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. ICMLA Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
2018	J	`jnl`	Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
2018	J	`jnl`	Machine Learning Classifications of Coronary Artery Disease. CoRR Ali Bou Nassif, Omar Mahdi, Qassim Nasir, Manar AbuTalib, Mohammad Azzeh
2018	J	`jnl`	Project productivity evaluation in early software effort estimation. J. Softw. Evol. Process. Mohammad Azzeh, Ali Bou Nassif
2018	C	`conf`	Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2017	J	`jnl`	A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods. CoRR Israa Ahmed Zriqat, Ahmad Mousa Altamimi, Mohammad Azzeh
2017	J	`jnl`	An Optimized Analogy-Based Project Effort Estimation. CoRR Mohammad Azzeh, Yousef Elsheikh, Marwan Alseid
2017	J	`jnl`	An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. CoRR Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
2017	J	`jnl`	Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. CoRR Mohammad Azzeh, Ali Bou Nassif
2017	J	`jnl`	Analyzing the Relationship between Project Productivity and Environment Factors in the Use Case Points Method. CoRR Mohammad Azzeh, Ali Bou Nassif
2017	J	`jnl`	Analyzing the relationship between project productivity and environment factors in the use case points method. J. Softw. Evol. Process. Mohammad Azzeh, Ali Bou Nassif
2017	J	`jnl`	Dataset Quality Assessment: An extension for analogy based effort estimation. CoRR Mohammad Azzeh
2017	J	`jnl`	Fuzzy Model Tree For Early Effort Estimation. CoRR Mohammad Azzeh, Ali Bou Nassif
2017	J	`jnl`	Learning best K analogies from data distribution for case-based software effort estimation. CoRR Mohammad Azzeh, Yousef Elsheikh
2017	J	`jnl`	Model tree based adaption strategy for software effort estimation by analogy. CoRR Mohammad Azzeh
2017	J	`jnl`	Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation. CoRR Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
2017	—	`conf`	Robust Rank Aggregation method for Case-Base effort estimation. CCECE Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
2017	J	`jnl`	Software effort estimation based on optimized model tree. CoRR Mohammad Azzeh
2017	J	`jnl`	Software stage-effort estimation based on association rule mining and fuzzy set theory. CoRR Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
2016	J	`jnl`	A Hybrid Model for Estimating Software Project Effort from Use Case Points. CoRR Mohammad Azzeh, Ali Bou Nassif
2016	J	`jnl`	A hybrid model for estimating software project effort from Use Case Points. Appl. Soft Comput. Mohammad Azzeh, Ali Bou Nassif
2016	J	`jnl`	Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
2016	J	`jnl`	Neural Network Models for Software Development Effort Estimation: A Comparative Study. CoRR Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
2016	J	`jnl`	Neural network models for software development effort estimation: a comparative study. Neural Comput. Appl. Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
2016	J	`jnl`	Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. Neural Comput. Appl. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
2016	C	`conf`	User Movement Prediction: The Contribution of Machine Learning Techniques. ICMLA Shadi Banitaan, Mohammad Azzeh, Ali Bou Nassif
2015	J	`jnl`	A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation. CoRR Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
2015	C	`conf`	An Application of Classification and Class Decomposition to Use Case Point Estimation Method. ICMLA Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2015	J	`jnl`	An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. J. Syst. Softw. Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku
2015	J	`jnl`	Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. IET Softw. Mohammad Azzeh, Ali Bou Nassif
2015	C	`conf`	Class Decomposition Using K-Means and Hierarchical Clustering. ICMLA Shadi Banitaan, Ali Bou Nassif, Mohammad Azzeh
2014	J	`jnl`	Errata 'Value of ranked voting methods for estimation by analogy', IET Softw., 2013, 7, (4), pp 195-202. IET Softw. Mohammad Azzeh, Marwan Alseid
2013	—	`conf`	A comparison between decision trees and decision tree forest models for software development effort estimation. ICCIT Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
2013	—	`conf`	Fuzzy Model Tree for Early Effort Estimation. ICMLA (2) Mohammad Azzeh, Ali Bou Nassif
2013	J	`jnl`	Value of ranked voting methods for estimation by analogy. IET Softw. Mohammad Azzeh, Marwan Alseid
2012	—	`conf`	A Treeboost Model for Software Effort Estimation Based on Use Case Points. ICMLA (2) Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho, Mohammad Azzeh
2012	J	`jnl`	A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation. Empir. Softw. Eng. Mohammad Azzeh
2011	—	`conf`	Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm. KES (2) Mohammad Azzeh
2011	J	`jnl`	Analogy-based software effort estimation using Fuzzy numbers. J. Syst. Softw. Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2011	C	`conf`	Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy. CIT Mohammad Azzeh
2011	—	`conf`	Software effort estimation based on optimized model tree. PROMISE Mohammad Azzeh
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	J	`jnl`	Fuzzy grey relational analysis for software effort estimation. Empir. Softw. Eng. Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2010	C	`conf`	Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. CIT Mohammad Azzeh, Peter I. Cowling, Daniel Neagu
2009	—	`conf`	Software effort estimation based on weighted fuzzy grey relational analysis. PROMISE Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2008	—	`conf`	Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. ICSOFT (SE/MUSE/GSDCA) Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2008	—	`conf`	Improving analogy software effort estimation using fuzzy feature subset selection algorithm. PROMISE@ICSE Mohammad Azzeh, Daniel Neagu, Peter I. Cowling
2008	—	`conf`	Software Project Similarity Measurement Based on Fuzzy C-Means. ICSP Mohammad Azzeh, Daniel Neagu, Peter I. Cowling