| Speech recognition using deep neural networks: A systematic review AB Nassif, I Shahin, I Attili, M Azzeh, K Shaalan IEEE access 7, 19143-19165, 2019 | 1364 | 2019 |
| Fuzzy grey relational analysis for software effort estimation M Azzeh, D Neagu, PI Cowling Empirical Software Engineering 15 (1), 60-90, 2010 | 168 | 2010 |
| Neural network models for software development effort estimation: a comparative study AB Nassif, M Azzeh, LF Capretz, D Ho Neural Computing and Applications 27 (8), 2369–2381, 2016 | 144 | 2016 |
| Software development effort estimation using regression fuzzy models AB Nassif, M Azzeh, A Idri, A Abran Computational intelligence and neuroscience 2019 (1), 8367214, 2019 | 132 | 2019 |
| A hybrid model for estimating software project effort from Use Case Points M Azzeh, AB Nassif Applied Soft Computing 49, 981-989, 2016 | 112 | 2016 |
| An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation M Azzeh, AB Nassif, LL Minku Journal of Systems and Software 103, 36-52, 2015 | 111 | 2015 |
| Analogy-based software effort estimation using Fuzzy numbers M Azzeh, D Neagu, PI Cowling Journal of Systems and Software 84 (2), 270-284, 2011 | 101 | 2011 |
| A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods I Zriqat, AM Altamimi, M Azzeh International Journal of Computer Science and Information Security 14 (12 …, 2016 | 84 | 2016 |
| A treeboost model for software effort estimation based on use case points AB Nassif, LF Capretz, D Ho, M Azzeh 2012 11th International Conference on Machine Learning and Applications 2 …, 2012 | 83 | 2012 |
| Improving analogy software effort estimation using fuzzy feature subset selection algorithm M Azzeh, D Neagu, P Cowling Proceedings of the 4th international workshop on Predictor models in …, 2008 | 77* | 2008 |
| A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation M Azzeh Empirical Software Engineering 17, 90-127, 2012 | 68 | 2012 |
| Explainable artificial intelligence model for identifying COVID-19 gene biomarkers FH Yagin, İB Cicek, A Alkhateeb, B Yagin, C Colak, M Azzeh, S Akbulut Computers in Biology and Medicine 154, 106619, 2023 | 65 | 2023 |
| A Comparison Between Decision Trees and Decision Tree Forest Models for Software Effort Estimation AB Nassif, M Azzeh, D Ho, LF Capretz 2013 Third International Conference on Communications and Information …, 2013 | 62 | 2013 |
| A Comparative Analysis of Soft Computing Techniques for Predicting Software Effort Based Use Case Points M Azzeh, A Nassif, S Banitaan IET Software 12 (1), 19-29, 2018 | 59 | 2018 |
| An optimized case-based software project effort estimation using genetic algorithm S Hameed, Y Elsheikh, M Azzeh Information and Software Technology 153, 107088, 2023 | 50 | 2023 |
| Pareto efficient multi-objective optimization for local tuning of analogy-based estimation M Azzeh, AB Nassif, S Banitaan, F Almasalha Neural Computing and Applications 27 (8), 2241–2265, 2016 | 48 | 2016 |
| Analogy‐based effort estimation: a new method to discover set of analogies from dataset characteristics M Azzeh, AB Nassif Iet Software 9 (2), 39-50, 2015 | 48 | 2015 |
| Software Cost Estimation based on Modified Use Case Points for Global Software Development M Azzeh The 5th International Conference on Computer Science and Information …, 2013 | 45 | 2013 |
| Machine learning classifications of coronary artery disease AB Nassif, O Mahdi, Q Nasir, MA Talib, M Azzeh 2018 International Joint Symposium on artificial intelligence and natural …, 2018 | 41 | 2018 |
| Predicting Software Effort from Use Case Points: A Systematic Review M Azzeh, AB Nassif, I Attili Science of Computer Programming 204, 102596, 2020 | 40 | 2020 |
Ali Bou NassifVice Dean, University of Sharjah. Adjunct Research Professor, Western University, CanadaDirección de correo verificada de sharjah.ac.ae