| TSE-IDS: A two-stage classifier ensemble for intelligent anomaly-based intrusion detection system BA Tama, M Comuzzi, KH Rhee IEEE Access 7, 94497 - 94507, 2019 | 374 | 2019 |
| A critical review of blockchain and its current applications BA Tama, BJ Kweka, Y Park, KH Rhee International Conference on Electrical Engineering and Computer Science …, 2017 | 339 | 2017 |
| Anomaly detection using random forest: A performance revisited R Primartha, BA Tama International Conference on Data and Software Engineering (ICoDSE), 1-6, 2017 | 202 | 2017 |
| A framework for blockchain based secure smart green house farming AS Patil, BA Tama, Y Park, KH Rhee Advances in Computer Science and Ubiquitous Computing, LNEE 474, 1162-1167, 2017 | 184 | 2017 |
| Improving an intelligent detection system for coronary heart disease using a two-tier classifier ensemble BA Tama, S Im, S Lee Biomed Research International 2020, 1-10, 2020 | 169 | 2020 |
| Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system MHL Louk, BA Tama Expert Systems with Applications 213, 119030, 2023 | 148 | 2023 |
| Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation BA Tama, S Lim Computer Science Review 39, 100357, 2021 | 146 | 2021 |
| An in-depth experimental study of anomaly detection using gradient boosted machine BA Tama, KH Rhee Neural Computing and Applications 31 (4), 955-965, 2019 | 136 | 2019 |
| Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals BA Tama, M Vania, S Lee, S Lim Artificial Intelligence Review 56, 4667–4709, 2023 | 131 | 2023 |
| An enhanced anomaly detection in Web traffic using a stack of classifier ensemble BA Tama, L Nkenyereye, SMR Islam, KS Kwak IEEE Access 8 (1), 24120 - 24134, 2020 | 109 | 2020 |
| Attack classification analysis of IoT network via deep learning approach BA Tama, KH Rhee Research Briefs on Information & Communication Technology Evolution (ReBICTE) 3, 2017 | 86 | 2017 |
| Steel surface defect diagnostics using deep convolutional neural network and class activation map SY Lee, BA Tama, SJ Moon, S Lee Applied Sciences 9 (24), 5460, 2019 | 84 | 2019 |
| Vision-based fault diagnostics using explainable deep learning with class activation maps KH Sun, H Huh, BA Tama, SY Lee, JH Jung, S Lee IEEE Access 8, 129169 - 129179, 2020 | 82 | 2020 |
| A combination of PSO-based feature selection and tree-based classifiers ensemble for intrusion detection systems BA Tama, KH Rhee Advances in Computer Science and Ubiquitous Computing, LNEE 373, 489-495, 2015 | 78 | 2015 |
| An empirical comparison of classification techniques for next event prediction using business process event logs BA Tama, M Comuzzi Expert Systems with Applications 129, 233-245, 2019 | 77 | 2019 |
| Secure and blockchain based emergency driven message protocol for 5G enabled vehicular edge computing L Nkenyereye, BA Tama, MK Shahzad, YH Choi Sensors 20 (1), 145, 2020 | 64 | 2020 |
| Tree-based classifier ensembles for early detection method of diabetes: an exploratory study BA Tama, KH Rhee Artificial Intelligence Review 51 (3), 355-370, 2019 | 59 | 2019 |
| An early detection method of type-2 diabetes mellitus in public hospital BA Tama, R Fitri S., Hermansyah TELKOMNIKA (Telecommunication Computing Electronics and Control) 9 (2), 287-294, 2011 | 54 | 2011 |
| An improved classification and localization approach to small bowel capsule endoscopy using convolutional neural network Y Hwang, HH Lee, C Park, BA Tama, JS Kim, DY Cheung, WC Chung, ... Digestive Endoscopy 33 (4), 598-607, 2021 | 52 | 2021 |
| Recent advances in the application of artificial intelligence in otorhinolaryngology-head and neck surgery BA Tama, SW Kim, G Kim, D Kim, S Lee Clinical & Experimental Otorhinolaryngology 13 (4), 326-339, 2020 | 47 | 2020 |