| An unsupervised machine learning model for discovering latent infectious diseases using social media data S Lim, CS Tucker, S Kumara Journal of Biomedical Informatics 66, 82-94, 2017 | 160 | 2017 |
| Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation BA Tama, S Lim Computer Science Review 39, 100357, 2021 | 139 | 2021 |
| 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 (5), 4667-4709, 2023 | 106 | 2023 |
| Car crash detection using ensemble deep learning and multimodal data from dashboard cameras JG Choi, CW Kong, G Kim, S Lim Expert Systems with Applications 183, 115400, 2021 | 80 | 2021 |
| A deep learning-based cryptocurrency price prediction model that uses on-chain data G Kim, DH Shin, JG Choi, S Lim IEEE Access 10, 56232-56248, 2022 | 54 | 2022 |
| A Bayesian Sampling Method for Product Feature Extraction From Large-Scale Textual Data S Lim, CS Tucker Journal of Mechanical Design 138 (6), 061403, 2016 | 44 | 2016 |
| A deep learning-based time series model with missing value handling techniques to predict various types of liquid cargo traffic S Lim, SJ Kim, YJ Park, N Kwon Expert Systems with Applications 184, 115532, 2021 | 40 | 2021 |
| A multimodal deep learning-based fault detection model for a plastic injection molding process G Kim, JG Choi, M Ku, H Cho, S Lim IEEE Access 9, 132455-132467, 2021 | 35 | 2021 |
| DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, ... Financial innovation 7, 1-32, 2021 | 29 | 2021 |
| A comparative performance evaluation of classification algorithms for clinical decision support systems BA Tama, S Lim Mathematics 8 (10), 1814, 2020 | 27 | 2020 |
| A semantic network model for measuring engagement and performance in online learning platforms S Lim, CS Tucker, K Jablokow, B Pursel Computer Applications in Engineering Education 26 (5), 1481-1492, 2018 | 27 | 2018 |
| Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers S Lim, CS Tucker Journal of Mechanical Design 139 (11), 111409, 2017 | 27 | 2017 |
| A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection L Nkenyereye, BA Tama, S Lim Computers, Materials & Continua 66 (2), 2217–2227, 2021 | 25* | 2021 |
| Mining Twitter data for causal links between tweets and real-world outcomes S Lim, CS Tucker Expert Systems with Applications: X 3, 100007, 2019 | 22 | 2019 |
| Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy G Kim, SM Yang, DM Kim, S Kim, JG Choi, M Ku, S Lim, HW Park Applied Soft Computing 148, 110922, 2023 | 16 | 2023 |
| Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing G Kim, JG Choi, M Ku, S Lim Computers & Industrial Engineering 181, 109286, 2023 | 15 | 2023 |
| An efficientnet-based weighted ensemble model for industrial machine malfunction detection using acoustic signals BA Tama, M Vania, I Kim, S Lim IEEE Access 10, 34625-34636, 2022 | 14 | 2022 |
| A multi-domain mixture density network for tool wear prediction under multiple machining conditions G Kim, SM Yang, S Kim, DY Kim, JG Choi, HW Park, S Lim International Journal of Production Research, 1-20, 2023 | 13 | 2023 |
| Characterization of power demand and energy consumption for fused filament fabrication using CFR-PEEK K Kim, H Noh, K Park, HW Jeon, S Lim Rapid Prototyping Journal 28 (7), 1394-1406, 2022 | 13 | 2022 |
| Development of an interpretable maritime accident prediction system using machine learning techniques G Kim, S Lim IEEE Access 10, 41313-41329, 2022 | 12 | 2022 |
