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13
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Lee, J. E., & Oh, S. H. (2026). Beyond Binary Rewrite Decisions: Separating Rewrite-Intensity Control from Level Prediction in a Frozen-LLM Generation-and-Selection Pipeline for Korean Easy-Read Drafting. Applied Sciences.
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12
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Oh, S. H. (2026). Auditing Trajectory-Based Transfer Diagnostics in Variational Quantum Learning. Electronics, 15(19), 4569.
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11
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Lee, C., & Oh, S. H. (2026). A Multi-Stage Framework for Story-Based Question Generation, Evaluation, and Cognitive Domain Assignment for Potential Cognitive Training Applications. Electronics, 15(19), 4518.
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10
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Jeong, M., Park, J., & Oh, S. H. (2025). Cyber Environment Test Framework for Simulating Command and Control Attack Methods with Reinforcement Learning. Applied Sciences, 15(4), 2120.
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9
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Hwang, S., Lee, Y., Jeon, B. K., & Oh, S. H. (2025). Sales Forecasting for New Products Using Homogeneity-Based Clustering and Ensemble Method. Electronics, 14(3), 520.
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8
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Oh, S. H., Kim, J., & Park, J. (2024). Dynamic Cyberattack Simulation: Integrating Improved Deep Reinforcement Learning with the MITRE-ATT&CK Framework. Electronics, 13(14), 2831.
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7
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Oh, S. H., Kim, J., Nah, J.H., Park, J. (2024). Employing Deep Reinforcement Learning to Cyber-Attack Simulation for Enhancing Cybersecurity. Electronics, 13, 555.
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6
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Oh, S. H., Jeong, M. K., Kim, H. C., & Park, J. (2023). Applying Reinforcement Learning for Enhanced Cybersecurity against Adversarial Simulation. Sensors, 23(6), 3000.
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5
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Oh, S. H., Lee, S. J., & Park, J. (2022). Effective data-driven precision medicine by cluster-applied deep reinforcement learning. Knowledge-Based Systems, 109877.
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4
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Oh, S. H., Park, J., Lee, S. J., Kang, S., & Mo, J. (2022). Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records. Expert Systems with Applications, 206, 117932.
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3
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Oh, S. H., Lee, S. J., & Park, J. (2022). Precision Medicine for Hypertension Patients with Type 2 Diabetes via Reinforcement Learning. Journal of Personalized Medicine, 12(1), 87.
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2
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Oh, S. H., Back, S., & Park, J. (2021). Measuring Patient Similarity on Multiple Diseases by Joint Learning via a Convolutional Neural Network. Sensors, 22(1), 131.
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1
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Oh, S. H., Lee, S. J., Noh, J., & Mo, J. (2021). Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records. Scientific reports, 11(1), 1-10.
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