Ali Bou Nassif
Ali Bou Nassif
Vice Dean, University of Sharjah. Adjunct Research Professor, Western University, Canada
Verified email at - Homepage
Cited by
Cited by
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
Performance analysis of hyperledger fabric platforms
Q Nasir, IA Qasse, M Abu Talib, AB Nassif
Security and Communication Networks 2018 (1), 3976093, 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
Machine learning for anomaly detection: A systematic review
AB Nassif, MA Talib, Q Nasir, FM Dakalbab
Ieee Access 9, 78658-78700, 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
Data mining techniques in social media: A survey
MN Injadat, F Salo, AB Nassif
Neurocomputing 214, 654-670, 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
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
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
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
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
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
Systematic ensemble model selection approach for educational data mining
MN Injadat, A Moubayed, AB Nassif, A Shami
Knowledge-Based Systems 200, 105992, 2020
Emotion Recognition using Hybrid Gaussian Mixture Model and Deep Neural Network
I Shahin, AB Nassif, S Hamsa
IEEE Access 7, 26777 - 26787, 2019
Machine learning towards intelligent systems: applications, challenges, and opportunities
MN Injadat, A Moubayed, AB Nassif, A Shami
Artificial Intelligence Review, 1-50, 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
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
Machine learning for cloud security: a systematic review
AB Nassif, MA Talib, Q Nasir, H Albadani, FM Dakalbab
IEEE Access 9, 20717-20735, 2021
A hybrid model for estimating software project effort from Use Case Points
M Azzeh, AB Nassif
Applied Soft Computing 49, 981–989, 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
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