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Dive into the research topics where Seoung Bum Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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CFAST simulations and application of a machine learning algorithm for the fire safety of a switchgear room
Zhang, Y., Lim, S., Heo, J., Bae, J., Kim, S. B. & Shin, W. G., 2026 Mar, In: Nuclear Engineering and Technology. 58, 3, 104006.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Domain Generalization Through Domain-Expert Risk Assessment
Jeong, J., Kahng, H. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 68-73 6 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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D-QMIX: multi-step sequential forward dynamics modeling with global state and self-attention for sample-efficient multi-agent reinforcement learning
Kim, J. I. & Kim, S. B., 2026 Mar, In: Information Sciences. 729, 122867.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
DynaMIX: Sample-Efficient Multi Agent Reinforcement Learning with Multi-step Temporal Forward Dynamics Modeling
Kim, J. I. & Kim, S. B., 2026, Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings. Fujita, H., Watanobe, Y., Ali, M. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 188-193 6 p. (Lecture Notes in Computer Science; vol. 15706 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Explainable machine learning-based meta-modeling for predicting fire damage to motor control cabinets in a switchgear room
Heo, J., Zhang, Y., Bae, J., Lim, S., Shin, W. G. & Kim, S. B., 2026 Jan, In: Nuclear Engineering and Technology. 58, 1, 103862.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Citations (Scopus)
Press/Media
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New Findings Reported from Korea University Describe Advances in Information Technology (Data-driven Component-level Decision-making for Online Remanufacturing of Gas-insulated Switchgear)
26/3/4
1 item of Media coverage
Press/Media: Press / Media
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Studies from Korea University Update Current Data on Technology (D-qmix: Multi-step Sequential Forward Dynamics Modeling With Global State and Self-attention for Sample-efficient Multi-agent Reinforcement Learning)
26/3/3
1 item of Media coverage
Press/Media: Press / Media
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Research from Korea University Ansan Hospital Has Provided New Data on Emerging Technologies (Data-Efficient Deep Learning Framework for Urolithiasis Detection Using Transfer and Self-Supervised Learning)
26/2/25
1 item of Media coverage
Press/Media: Press / Media
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Study Findings on Networks Are Outlined in Reports from Korea University (Accuracy-informed Label Smoothing and Logit Scaling for Deep Neural Network Calibration)
26/2/3
1 item of Media coverage
Press/Media: Press / Media
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Researchers at Korea University Ansan Hospital Target Prostate Cancer (Radiomics Reproducibility in Prostate Cancer Diagnosis Based on PROSTATEx)
25/12/24
1 item of Media coverage
Press/Media: Press / Media