| Reasons for increased learning using multimedia S Bagui Journal of educational multimedia and hypermedia 7, 3-18, 1998 | 403 | 1998 |
| Database design using entity-relationship diagrams S Bagui, R Earp Auerbach Publications, 2003 | 258 | 2003 |
| Resampling imbalanced data for network intrusion detection datasets S Bagui, K Li Journal of Big Data 8 (1), 6, 2021 | 237 | 2021 |
| Breast cancer detection using rank nearest neighbor classification rules SC Bagui, S Bagui, K Pal, NR Pal Pattern recognition 36 (1), 25-34, 2003 | 144 | 2003 |
| Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features S Bagui, X Fang, E Kalaimannan, SC Bagui, J Sheehan Journal of Cyber Security Technology 1 (2), 108-126, 2017 | 114 | 2017 |
| Introduction to NFTs: the future of digital collectibles M Ali, S Bagui International Journal of Advanced Computer Science and Applications 12 (10 …, 2021 | 79 | 2021 |
| Database sharding: to provide fault tolerance and scalability of big data on the cloud S Bagui, LT Nguyen International Journal of Cloud Applications and Computing (IJCAC) 5 (2), 36-52, 2015 | 63 | 2015 |
| Using machine learning techniques to identify rare cyber‐attacks on the UNSW‐NB15 dataset S Bagui, E Kalaimannan, S Bagui, D Nandi, A Pinto Security and Privacy 2 (6), e91, 2019 | 61 | 2019 |
| Machine learning and deep learning for phishing email classification using one-hot encoding S Bagui, D Nandi, S Bagui, RJ White J. Comput. Sci 17 (7), 610-623, 2021 | 58 | 2021 |
| Classifying phishing email using machine learning and deep learning S Bagui, D Nandi, S Bagui, RJ White 2019 International Conference on Cyber Security and Protection of Digital …, 2019 | 57 | 2019 |
| Machine learning based intrusion detection for IoT botnet S Bagui, X Wang, S Bagui International Journal of Machine Learning and Computing 11 (6), 399-406, 2021 | 48 | 2021 |
| Achievements and weaknesses of object-oriented databases S Bagui Journal of object technology 2 (4), 29-41, 2003 | 48 | 2003 |
| Positive and negative association rule mining in Hadoop’s MapReduce environment S Bagui, PC Dhar Journal of Big Data 6, 1-16, 2019 | 35 | 2019 |
| Atmospheric deposition of mercury and major ions to the Pensacola (Florida) watershed: spatial, seasonal, and inter-annual variability JM Caffrey, WM Landing, SD Nolek, KJ Gosnell, SS Bagui, SC Bagui Atmospheric Chemistry and Physics 10 (12), 5425-5434, 2010 | 33 | 2010 |
| A heuristic approach for load balancing the FP-growth algorithm on MapReduce S Bagui, K Devulapalli, J Coffey Array 7, 100035, 2020 | 31 | 2020 |
| Adaptable enterprise architectures for software evolution of SmartLife ecosystems A Zimmermann, B Gonen, R Schmidt, E El-Sheikh, S Bagui, N Wilde 2014 IEEE 18th International Enterprise Distributed Object Computing …, 2014 | 30 | 2014 |
| An approach to mining crime patterns S Bagui International Journal of Data Warehousing and Mining (IJDWM) 2 (1), 50-80, 2006 | 25 | 2006 |
| Deriving strong association mining rules using a dependency criterion, the lift measure S Bagui, J Just, SC Bagui International Journal of Data Analysis Techniques and Strategies 1 (3), 297-312, 2009 | 23 | 2009 |
| Introducing uwf-zeekdata22: A comprehensive network traffic dataset based on the mitre att&ck framework SS Bagui, D Mink, SC Bagui, T Ghosh, R Plenkers, T McElroy, S Dulaney, ... Data 8 (1), 18, 2023 | 22 | 2023 |
| Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models X Fang, S Bagui, S Bagui Computational biology and chemistry 69, 110-119, 2017 | 19 | 2017 |
