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 | 1165 | 2019 |
Performance analysis of hyperledger fabric platforms Q Nasir, IA Qasse, M Abu Talib, AB Nassif Security and Communication Networks 2018 (1), 3976093, 2018 | 361 | 2018 |
Dimensionality Reduction with IG-PCA and Ensemble Classifier for Network Intrusion Detection F Salo, AB Nassif, A Essex Computer Networks 148, 164-175, 2019 | 322 | 2019 |
Machine learning for anomaly detection: A systematic review AB Nassif, MA Talib, Q Nasir, FM Dakalbab Ieee Access 9, 78658-78700, 2021 | 298 | 2021 |
Towards an Early Software Estimation Using Log-Linear Regression and a Multilayer Perceptron Model AB Nassif, D Ho, LF Capretz Journal of Systems and Software 86 (1), 144-160, 2013 | 248 | 2013 |
Data mining techniques in social media: A survey MN Injadat, F Salo, AB Nassif Neurocomputing 214, 654-670, 2016 | 207 | 2016 |
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection MN Injadat, A Moubayed, AB Nassif, A Shami IEEE Transactions on Network and Service Management, 2021 | 192 | 2021 |
E-learning: Challenges and research opportunities using machine learning & data analytics A Moubayed, M Injadat, AB Nassif, H Lutfiyya, A Shami IEEE Access 6, 39117-39138, 2018 | 171 | 2018 |
Breast cancer detection using artificial intelligence techniques: A systematic literature review AB Nassif, MA Talib, Q Nasir, Y Afadar, O Elgendy Artificial Intelligence in Medicine 127, 102276, 2022 | 163 | 2022 |
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection MN Injadat, F Salo, AB Nassif, A Essex, A Shami IEEE Global Communications Conference (GlobeCom), 2018 | 152 | 2018 |
Data mining techniques in intrusion detection systems: A systematic literature review F Salo, M Injadat, AB Nassif, A Shami, A Essex IEEE Access 6, 56046-56058, 2018 | 137 | 2018 |
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 | 137 | 2016 |
Systematic ensemble model selection approach for educational data mining MN Injadat, A Moubayed, AB Nassif, A Shami Knowledge-Based Systems 200, 105992, 2020 | 135 | 2020 |
Emotion Recognition using Hybrid Gaussian Mixture Model and Deep Neural Network I Shahin, AB Nassif, S Hamsa IEEE Access 7, 26777 - 26787, 2019 | 127 | 2019 |
Machine learning towards intelligent systems: applications, challenges, and opportunities MN Injadat, A Moubayed, AB Nassif, A Shami Artificial Intelligence Review, 1-50, 2021 | 116 | 2021 |
Software Development Effort Estimation Using Regression Fuzzy Models AB Nassif, M Azzeh, A Idri, A Abran Computational intelligence and neuroscience 2019, 1-17, 2019 | 111 | 2019 |
An Empirical Evaluation of Ensemble Adjustment Methods for Analogy-Based Effort Estimation M Azzeh, AB Nassif, L Minku Journal of Systems and Software 103, 36-52, 2015 | 107 | 2015 |
Machine learning for cloud security: a systematic review AB Nassif, MA Talib, Q Nasir, H Albadani, FM Dakalbab IEEE Access 9, 20717-20735, 2021 | 105 | 2021 |
A hybrid model for estimating software project effort from Use Case Points M Azzeh, AB Nassif Applied Soft Computing 49, 981–989, 2016 | 104 | 2016 |
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities AB Nassif, A Elnagar, I Shahin, S Henno Applied Soft Computing 98, 1-27, 2021 | 98 | 2021 |