| A malware analysis and detection system for mobile devices/Ali Feizollah F Ali University of Malaya, 2017 | 3 | 2017 |
| A Review on Feature Selection in Mobile Malware Detection A Feizollah, NB Anuar, R Salleh, AWA Wahab Digital Investigation 13 (C), 22-37, 2015 | 286 | 2015 |
| A Study Of Machine Learning Classifiers for Anomaly-Based Mobile Botnet Detection Ali Feizollah ,Nor Badrul Anuar,Rosli Salleh Malaysian Journal of Computer Science 26 (4), 251-265, 2013 | 132 | 2013 |
| An Evaluation Study of Mobile Botnet Detection Using Machine Learning Classifiers A Feizollah Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya, 2014 | | 2014 |
| AndroDialysis: Analysis of Android Intent Effectiveness in Malware Detection A Feizollah, NB Anuar, R Salleh, G Suarez-Tangil, S Furnell Computers & Security 65 (C), 121-134, 2017 | 284 | 2017 |
| Anomaly Detection in Policy Authorization Activity Logs Z Zamanian, A Feizollah, NB Anuar, MLBM Kiah International Journal of Engineering Research in Computer Science and …, 2017 | | 2017 |
| Anomaly detection using cooperative fuzzy logic controller A Feizollah, S Shamshirband, NB Anuar, R Salleh, ML Mat Kiah Intelligent Robotics Systems: Inspiring the NEXT: 16th FIRA RoboWorld …, 2013 | 32 | 2013 |
| Challenges and Recommended Solutions in Multi-Source and Multi-Domain Sentiment Analysis NA Abdullah, A Feizollah, A Sulaiman, NB Anuar IEEE Access 7 (1), 144957-144971, 2019 | 22 | 2019 |
| Comparative Evaluation of Ensemble Learning and Supervised Learning in Android Malwares Using Network-Based Analysis Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, Fairuz Amalina 1st International Conference on Communication and Computer Engineering …, 2014 | 8* | 2014 |
| Comparative Study of K-means and Mini Batch Kmeans Clustering Algorithms in Android Malware Detection Using Network Traffic Analysis A Feizollah, NB Anuar, R Salleh, F Amalina 2014 International Symposium on Biometrics and Security Technologies (ISBAST …, 2014 | 96 | 2014 |
| Evaluation of machine learning classifiers for mobile malware detection FA Narudin, A Feizollah, NB Anuar, A Gani Soft Computing 20 (1), 343-357, 2014 | 506 | 2014 |
| Evaluation of Network Traffic Analysis Using Fuzzy C-Means Clustering Algorithm in Mobile Malware Detection A Feizollah, NB Anuar, R Salleh Advanced Science Letters 24 (2), 929–932, 2018 | 23 | 2018 |
| Examining what people tweet in relation to halal cosmetics-related topics S Ainin, A Feizollah, NB Anuar, NAB Abdullah, MNF Sahran Cogent Arts & Humanities 7 (1), 1724593, 2020 | 21 | 2020 |
| Exploring halal tourism tweets on social media A Feizollah, MM Mostafa, A Sulaiman, Z Zakaria, A Firdaus Journal of Big Data 8 (1), 72, 2021 | 77 | 2021 |
| Federated learning research: trends and bibliometric analysis A Farooq, A Feizollah, MH ur Rehman Federated Learning Systems: Towards Next-Generation AI, 1-19, 2021 | 7 | 2021 |
| Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics MM Mostafa, A Feizollah, NB Anuar Multimedia Tools and Applications 82 (8), 12423-12443, 2023 | 14 | 2023 |
| Halal Products on Twitter: Data Extraction and Sentiment Analysis Using Stack of Deep Learning Algorithms A Feizollah, S Ainin, NB Anuar, NAB Abdullah, M Hazim IEEE Access 7 (1), 83354-83362, 2019 | 103 | 2019 |
| Machine learning In the financial industry: A bibliometric approach to evidencing applications N Zakaria, A Sulaiman, FS Min, A Feizollah Cogent Social Sciences 9 (2), 2276609, 2023 | 1 | 2023 |
| Profiling the halal food consumer on Instagram: integrating image, textual, and social tagging data A Sulaiman, A Feizollah, MM Mostafa, Z Zakaria Multimedia Tools and Applications 82 (7), 10867-10886, 2023 | 5 | 2023 |
| Sentiment analyses of multilingual tweets on halal tourism S Ainin, A Feizollah, NB Anuar, NA Abdullah Tourism Management Perspectives 34, 1-8, 2020 | 172 | 2020 |
