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ORCIDMohammad Azzeh
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2020 – today
- 2024
[j36]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): 240103 (2024)- [j35]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) - [j34]Maysa Khalil
, Mohammad Azzeh:
Fake news detection models using the largest social media ground-truth dataset (TruthSeeker). Int. J. Speech Technol. 27(2): 389-404 (2024) - [j33]Mohammad Azzeh, Bushra Alhijawi, Abedrahman Tabbaza, Omar Alabboshi, Nancy Hamdan, Dareen Jaser:
Arabic cyberbullying detection system using convolutional neural network and multi-head attention. Int. J. Speech Technol. 27(3): 521-537 (2024) - [j32]Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif:
Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. 36(23): 14449-14464 (2024) - [j31]Manar Abu Talib, Ali Bou Nassif, Mohammad Azzeh, Yaser Alesh, Yaman Afadar:
Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. Neural Comput. Appl. 36(27): 16911-16940 (2024) - [j30]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): 26 (2024) - [j29]Mohammad Azzeh, Yousef Alqasrawi, Yousef Elsheikh:
A soft computing approach for software defect density prediction. J. Softw. Evol. Process. 36(4) (2024) - 2023
- [j28]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: 106619 (2023) - [j27]Shaima Hameed, Yousef Elsheikh, Mohammad Azzeh:
An optimized case-based software project effort estimation using genetic algorithm. Inf. Softw. Technol. 153: 107088 (2023) - [j26]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: 102916 (2023) - [c21]Maysa Khalil, Mohammad Azzeh:
Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms. ICMLA 2023: 1606-1610 - [c20]Mohammad Azzeh:
Software Effort Estimation Using Deep Learning and Fuzzy Modelling. ICAC 2023: 1-6 - 2022
- [j25]Firas Alghanim, Mohammad Azzeh, Ammar Elhassan, Hazem Qattous:
Software Defect Density Prediction Using Deep Learning. IEEE Access 10: 114629-114641 (2022) - [j24]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): 3379-3392 (2022) - [j23]Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh:
Locally weighted regression with different kernel smoothers for software effort estimation. Sci. Comput. Program. 214: 102744 (2022) - [j22]Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis:
On the value of project productivity for early effort estimation. Sci. Comput. Program. 219: 102819 (2022) - [c19]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: 1381-1385 - [c18]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA 2022: 1761-1768 - [i30]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 abs/2201.00437 (2022) - [i29]Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis:
On the Value of Project Productivity for Early Effort Estimation. CoRR abs/2205.04986 (2022) - [i28]Sinan Faouri, Mahmood AlBashayreh, Mohammad Azzeh:
Examining stability of machine learning methods for predicting dementia at early phases of the disease. CoRR abs/2209.04643 (2022) - [i27]Mohammad Al-Oudat, Saleh Alomari, Hazem Qattous, Mohammad Azzeh, Tariq Al-Munaizel:
An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision. CoRR abs/2209.04646 (2022) - [i26]Ahmad Alqwadri, Mohammad Azzeh, Fadi Almasalha:
Application of Machine Learning for Online Reputation Systems. CoRR abs/2209.04650 (2022) - [i25]Mohammad Azzeh, Ahmad Mousa Altamimi, Mahmood AlBashayreh, Mohammad Al-Oudat:
Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge. CoRR abs/2209.10407 (2022) - [i24]Ahmad Mousa Altamimi, Mohammad Azzeh, Mahmoud AlBashayreh:
Predicting students' learning styles using regression techniques. CoRR abs/2209.12691 (2022) - [i23]Haneen Abu Alhija, Mohammad Azzeh, Fadi Almasalha:
Software Defect Prediction Using Support Vector Machine. CoRR abs/2209.14299 (2022) - [i22]Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh:
Locally Weighted Regression with different Kernel Smoothers for Software Effort Estimation. CoRR abs/2209.14300 (2022) - 2021
- [j21]Ahmad Alqwadri, Mohammad Azzeh, Fadi Almasalha:
Application of Machine Learning for Online Reputation Systems. Int. J. Autom. Comput. 18(3): 492-502 (2021) - [j20]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) - [j19]Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili:
Predicting software effort from use case points: A systematic review. Sci. Comput. Program. 204: 102596 (2021) - [j18]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): 309-336 (2021) - [i21]Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín:
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. CoRR abs/2102.05961 (2021) - 2020
- [j17]Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. J. Syst. Softw. 167: 110592 (2020) - [i20]Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili:
Predicting Software Effort from Use Case Points: A Systematic Review. CoRR abs/2012.07005 (2020)
2010 – 2019
- 2019
- [j16]Ali Bou Nassif, Ismail Shahin, Imtinan Basem Attili, Mohammad Azzeh, Khaled Shaalan:
Speech Recognition Using Deep Neural Networks: A Systematic Review. IEEE Access 7: 19143-19165 (2019) - [j15]Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran:
Software Development Effort Estimation Using Regression Fuzzy Models. Comput. Intell. Neurosci. 2019: 8367214:1-8367214:17 (2019) - [i19]Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR abs/1901.03362 (2019) - [i18]Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran:
Software Development Effort Estimation Using Regression Fuzzy Models. CoRR abs/1902.03608 (2019) - 2018
- [j14]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): 19-29 (2018) - [j13]Mohammad Azzeh, Ali Bou Nassif:
Project productivity evaluation in early software effort estimation. J. Softw. Evol. Process. 30(12) (2018) - [c17]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: 1377-1382 - [c16]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: 1427-1431 - [i17]Ali Bou Nassif, Omar Mahdi, Qassim Nasir, Manar AbuTalib, Mohammad Azzeh:
Machine Learning Classifications of Coronary Artery Disease. CoRR abs/1812.02828 (2018) - [i16]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín:
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR abs/1812.06459 (2018) - 2017
- [j12]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) - [c15]Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan:
Robust Rank Aggregation method for Case-Base effort estimation. CCECE 2017: 1-5 - [i15]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha:
Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation. CoRR abs/1701.01675 (2017) - [i14]Mohammad Azzeh, Peter I. Cowling, Daniel Neagu:
Software stage-effort estimation based on association rule mining and fuzzy set theory. CoRR abs/1703.04539 (2017) - [i13]Mohammad Azzeh, Yousef Elsheikh, Marwan Alseid:
An Optimized Analogy-Based Project Effort Estimation. CoRR abs/1703.04563 (2017) - [i12]Mohammad Azzeh, Ali Bou Nassif:
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. CoRR abs/1703.04564 (2017) - [i11]Mohammad Azzeh, Ali Bou Nassif:
Fuzzy Model Tree For Early Effort Estimation. CoRR abs/1703.04565 (2017) - [i10]Mohammad Azzeh:
Model tree based adaption strategy for software effort estimation by analogy. CoRR abs/1703.04566 (2017) - [i9]Mohammad Azzeh, Yousef Elsheikh:
Learning best K analogies from data distribution for case-based software effort estimation. CoRR abs/1703.04567 (2017) - [i8]Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku:
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. CoRR abs/1703.04568 (2017) - [i7]Mohammad Azzeh:
Dataset Quality Assessment: An extension for analogy based effort estimation. CoRR abs/1703.04575 (2017) - [i6]Mohammad Azzeh:
Software effort estimation based on optimized model tree. CoRR abs/1703.05584 (2017) - [i5]Israa Ahmed Zriqat, Ahmad Mousa Altamimi, Mohammad Azzeh:
A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods. CoRR abs/1704.02799 (2017) - [i4]Mohammad Azzeh, Ali Bou Nassif:
Analyzing the Relationship between Project Productivity and Environment Factors in the Use Case Points Method. CoRR abs/1705.09920 (2017) - 2016
- [j11]Mohammad Azzeh, Ali Bou Nassif:
A hybrid model for estimating software project effort from Use Case Points. Appl. Soft Comput. 49: 981-989 (2016) - [j10]Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu:
Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. 27(8): 2153-2155 (2016) - [j9]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): 2241-2265 (2016) - [j8]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): 2369-2381 (2016) - [c14]Shadi Banitaan, Mohammad Azzeh, Ali Bou Nassif:
User Movement Prediction: The Contribution of Machine Learning Techniques. ICMLA 2016: 571-575 - [i3]Mohammad Azzeh, Ali Bou Nassif:
A Hybrid Model for Estimating Software Project Effort from Use Case Points. CoRR abs/1610.02517 (2016) - [i2]Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho:
Neural Network Models for Software Development Effort Estimation: A Comparative Study. CoRR abs/1611.09934 (2016) - 2015
- [j7]Mohammad Azzeh, Ali Bou Nassif:
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. IET Softw. 9(2): 39-50 (2015) - [j6]Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku:
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. J. Syst. Softw. 103: 36-52 (2015) - [c13]Shadi Banitaan, Ali Bou Nassif, Mohammad Azzeh:
Class Decomposition Using K-Means and Hierarchical Clustering. ICMLA 2015: 1263-1267 - [c12]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
An Application of Classification and Class Decomposition to Use Case Point Estimation Method. ICMLA 2015: 1268-1271 - [i1]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 abs/1508.07275 (2015) - 2014
- [j5]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): 52 (2014) - 2013
- [j4]Mohammad Azzeh, Marwan Alseid:
Value of ranked voting methods for estimation by analogy. IET Softw. 7(4): 195-202 (2013) - [c11]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: 220-224 - [c10]Mohammad Azzeh, Ali Bou Nassif:
Fuzzy Model Tree for Early Effort Estimation. ICMLA (2) 2013: 117-121 - 2012
- [j3]Mohammad Azzeh:
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation. Empir. Softw. Eng. 17(1-2): 90-127 (2012) - [c9]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: 314-319 - 2011
- [j2]Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Analogy-based software effort estimation using Fuzzy numbers. J. Syst. Softw. 84(2): 270-284 (2011) - [c8]Mohammad Azzeh:
Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy. CIT 2011: 328-335 - [c7]Mohammad Azzeh:
Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm. KES (2) 2011: 315-324 - [c6]Mohammad Azzeh:
Software effort estimation based on optimized model tree. PROMISE 2011: 6 - 2010
- [b1]Mohammad Azzeh:
Analogy-based software project effort estimation : contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation. University of Bradford, UK, 2010 - [j1]Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Fuzzy grey relational analysis for software effort estimation. Empir. Softw. Eng. 15(1): 60-90 (2010) - [c5]Mohammad Azzeh, Peter I. Cowling, Daniel Neagu:
Software Stage-Effort Estimation Based on Association Rule Mining and Fuzzy Set Theory. CIT 2010: 249-256
2000 – 2009
- 2009
- [c4]Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Software effort estimation based on weighted fuzzy grey relational analysis. PROMISE 2009: 8 - 2008
- [c3]Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Adjusting Analogy Software Effort Estimation Based on Fuzzy Logic. ICSOFT (SE/MUSE/GSDCA) 2008: 127-132 - [c2]Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Software Project Similarity Measurement Based on Fuzzy C-Means. ICSP 2008: 123-134 - [c1]Mohammad Azzeh, Daniel Neagu, Peter I. Cowling:
Improving analogy software effort estimation using fuzzy feature subset selection algorithm. PROMISE@ICSE 2008: 71-78
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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