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ORCIDSeungwon Oh
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2020 – today
- 2024
[j8]Hyeonchang Jeon
, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyoun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim:
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. IEEE Trans. Games 16(3): 645-658 (2024)- [j7]Seungwon Oh, Young-Seok Kweon, Gi-Hwan Shin, Seong-Whan Lee:
MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency. IEEE J. Biomed. Health Informatics 28(7): 4249-4259 (2024) - [c7]Seungwon Oh, Insik Chung, Kyung-Joong Kim:
LangBirds: An Agent for Angry Birds using a Large Language Model. CoG 2024: 1-8 - 2023
- [j6]Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim:
Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients. BMC Bioinform. 24(1): 39 (2023) - [j5]Isaac Han, Seungwon Oh, Hoyoun Jung, Insik Chung, Kyung-Joong Kim:
Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained]. IEEE Comput. Intell. Mag. 18(4): 64-65 (2023) - [i2]Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim:
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. CoRR abs/2307.01676 (2023) - 2022
- [j4]Seungwon Oh, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim:
Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients. BMC Bioinform. 23-S(9): 573 (2022) - 2021
- [j3]Ung Yang, Seungwon Oh, Seung Gon Wi, Bok-Rye Lee, Sang-Hyun Lee, Min-Soo Kim:
Classification of Germination Images of Pear Pollen Using Random Forest and Convolution Neural Network Models. IEEE Access 9: 45993-45999 (2021) - [j2]Seungwon Oh, Jaena Im, Sae-Ryung Kang, In-Jae Oh, Min-Soo Kim:
PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer. IEEE Access 9: 138753-138761 (2021) - [i1]Mohammad Nayeem Teli, Seungwon Oh:
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations. CoRR abs/2107.04749 (2021)
2010 – 2019
- 2015
- [j1]Seungwon Oh, Minsoo Hahn, Jinsul Kim:
Dynamic EKF-based SLAM for autonomous mobile convergence platforms. Multim. Tools Appl. 74(16): 6413-6430 (2015) - 2013
- [c6]Seungwon Oh, Minsoo Hahn, Jinsul Kim:
Simultaneous Localization and Mapping for Mobile Robots in Dynamic Environments. ICISA 2013: 1-4 - [c5]Seungwon Oh, Minsoo Hahn, Jinsul Kim:
Music Mood Classification Using Intro and Refrain Parts of Lyrics. ICISA 2013: 1-3 - 2012
- [c4]Youngjae Kim, Seungwon Oh, Dongwook Lee, Haewook Choi, Jinsul Kim, Minsoo Hahn:
Unified Performance Authoring Tool for Heterogeneous Devices and Protocols. ICITCS 2012: 481-487
2000 – 2009
- 2009
- [c3]Hanbit Park, Seungwon Oh, Minsoo Hahn:
Drowsy driving detection based on human pulse wave by photoplethysmography signal processing. IUCS 2009: 89-92 - 2008
- [c2]Dongwook Lee, Seungwon Oh, Seongkook Heo, Minsoo Hahn:
Drowsy Driving Detection Based on the Driver. ISUC 2008: 231-236 - [c1]Seungwon Oh, Minsoo Hahn:
Proposal of an Artificial Emotion Expression System Based on External Stimulus and Emotional Elements. IVA 2008: 526-527
Coauthor Index
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