Data mining techniques in social media: A survey. - MohammadNoor Injadat; Fadi Salo; Ali Bou Nassif (Neurocomputing, 2016)

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. - MohammadNoor Injadat; Fadi Salo; Ali Bou Nassif; Aleksander Essex; Abdallah Shami (GLOBECOM, 2018)

DNS Typo-Squatting Domain Detection: A Data Analytics & Machine Learning Based Approach. - Abdallah Moubayed; MohammadNoor Injadat; Abdallah Shami; Hanan Lutfiyya (GLOBECOM, 2018)

E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics. - Abdallah Moubayed; MohammadNoor Injadat; Ali Bou Nassif; Hanan Lutfiyya; Abdallah Shami (IEEE Access, 2018)

Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review. - Fadi Salo; MohammadNoor Injadat; Ali Bou Nassif; Abdallah Shami; Aleksander Essex (IEEE Access, 2018)

Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection. - Fadi Salo; MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Aleksander Essex (ICNC, 2019)

Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach. - MohammadNoor Injadat; Abdallah Moubayed; Abdallah Shami (ICM, 2020)

Optimized Random Forest Model for Botnet Detection Based on DNS Queries. - Abdallah Moubayed; MohammadNoor Injadat; Abdallah Shami (ICM, 2020)

Multi-split optimized bagging ensemble model selection for multi-class educational data mining. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (Appl. Intell., 2020)

Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review. - Fadi Salo; MohammadNoor Injadat; Ali Bou Nassif; Aleksander Essex (CoRR, 2020)

Systematic ensemble model selection approach for educational data mining. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (Knowl. Based Syst., 2020)

Machine learning towards intelligent systems: applications, challenges, and opportunities. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (Artif. Intell. Rev., 2021)

Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules. - Abdallah Moubayed; MohammadNoor Injadat; Abdallah Shami; Hanan Lutfiyya (CoRR, 2021)

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (IEEE Trans. Netw. Serv. Manag., 2021)

Feature Selection in Associative Classification-A Review and Comparative Analysis. - Raed Alazaidah; Ahmad Al-Qerem; Mais Haj Qasem; Ala'a Al-Shaikh; Nabeel Al-Milli; MohammadNoor Injadat (ACIT, 2023)

Enhancing the Performance of Sign Language Recognition Models Using Machine Learning. - Ala' Alyabrodi; Shrouq Al-Daja; MohammadNoor Injadat; Abdallah Moubayed; Hebatullah Khattab (ACIT, 2023)

Optimized Ensemble Model Towards Secured Industrial IoT Devices. - MohammadNoor Injadat (ACIT, 2023)

A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective. - Abdallah Moubayed; MohammadNoor Injadat; Nouh Alhindawi; Ghassan Samara; Sara Abuasal; Raed Alazaidah (ACIT, 2023)

Optimizing Road Safety through Intelligent Congestion Management. - Ghassan Samara; Alaa Elhilo; Mahmoud Rajallah Asassfeh; MohammadNoor Injadat; Mais Haj Qasem; Raed Alazaidah; Mohammad Aljaidi; Nabeel Al-Milli; Adnan A. Hnaif (ACIT, 2023)

Criteria-based Unsupervised Feature Selection Techniques: A Comparative Study Over Chest CT Scan. - Shrouq Al-Daja; Ala' Alyabrodi; Abdallah Moubayed; MohammadNoor Injadat; Ali Elrashidi (ACIT, 2024)

Evaluation of Chest CT-Scan Anomaly Detection Models Using Principal Component Analysis. - Ala' Alyabrodi; Shrouq Al-Daja; MohammadNoor Injadat; Abdallah Moubayed; Ali Elrashidi (ACIT, 2024)

Optimizing One-Stage Object Detection for URLLC: A Two-Stage Pipeline with Oculi SPU. - Adam Bou Moghlebey; Abdallah Moubayed; MohammadNoor Injadat (ACIT, 2024)

A Data-Driven Approach Towards Software Regression Testing Quality Optimization. - Abdallah Moubayed; Nouh Alhindawi; Jamal Alsakran; MohammadNoor Injadat; Mohammad Kanan (ACIT, 2024)

A Comparative Study of Gaze Estimation Models. - Abdallah Moubayed; MohammadNoor Injadat; Mohammad Kanan (ACIT, 2024)

Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. - Abdulrahman Mahmoud Eid; Bassel Soudan; Ali Bou Nassif; MohammadNoor Injadat (Neural Comput. Appl., 2024)

Correction: Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. - Abdulrahman Mahmoud Eid; Bassel Soudan; Ali Bou Nassif; MohammadNoor Injadat (Neural Comput. Appl., 2024)

Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing. - Abdulrahman Mahmoud Eid; Bassel Soudan; Ali Bou Nassif; MohammadNoor Injadat (Neural Comput. Appl., 2024)

A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection. - Anas M. Al-Oraiqat; Oleksandr Drieiev; Sattam Almatarneh; MohammadNoor Injadat; Karim A. Al-Oraiqat; Hanna Drieieva; Yassin M. Y. Hasan (IEEE Access, 2025)

Enhancing CNN-based network intrusion detection through hyperparameter optimization. - Antanios Kaissar; Ali Bou Nassif; Bassel Soudan; MohammadNoor Injadat (Intell. Syst. Appl., 2025)