Drowsy Driving Detection Based on the Driver. - Dongwook Lee 002; Seungwon Oh; Seongkook Heo; Minsoo Hahn (ISUC, 2008)

Proposal of an Artificial Emotion Expression System Based on External Stimulus and Emotional Elements. - Seungwon Oh; Minsoo Hahn (IVA, 2008)

Drowsy driving detection based on human pulse wave by photoplethysmography signal processing. - Hanbit Park; Seungwon Oh; Minsoo Hahn (IUCS, 2009)

Unified Performance Authoring Tool for Heterogeneous Devices and Protocols. - Youngjae Kim 002; Seungwon Oh; Dongwook Lee 002; Haewook Choi; Jinsul Kim; Minsoo Hahn (ICITCS, 2012)

Simultaneous Localization and Mapping for Mobile Robots in Dynamic Environments. - Seungwon Oh; Minsoo Hahn; Jinsul Kim (ICISA, 2013)

Music Mood Classification Using Intro and Refrain Parts of Lyrics. - Seungwon Oh; Minsoo Hahn; Jinsul Kim (ICISA, 2013)

Dynamic EKF-based SLAM for autonomous mobile convergence platforms. - Seungwon Oh; Minsoo Hahn; Jinsul Kim (Multim. Tools Appl., 2015)

PET-Based Deep-Learning Model for Predicting Prognosis of Patients With Non-Small Cell Lung Cancer. - Seungwon Oh; Jaena Im; Sae-Ryung Kang; In-Jae Oh; Min-Soo Kim (IEEE Access, 2021)

Classification of Germination Images of Pear Pollen Using Random Forest and Convolution Neural Network Models. - Ung Yang; Seungwon Oh; Seung Gon Wi; Bok-Rye Lee; Sang-Hyun Lee; Min-Soo Kim (IEEE Access, 2021)

Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations. - Mohammad Nayeem Teli; Seungwon Oh (CoRR, 2021)

Correction: Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients. - Seungwon Oh; Sae-Ryung Kang; In-Jae Oh; Min-Soo Kim (BMC Bioinform., 2022)

RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. - Hyeonchang Jeon; In-Chang Baek; Cheong-mok Bae; TaeHwa Park; Wonsang You; Taegwan Ha; Hoyun Jung; Jinha Noh; Seungwon Oh; Kyung-Joong Kim 001 (CoRR, 2023)

Monte Carlo and Temporal Difference Methods in Reinforcement Learning [AI-eXplained]. - Isaac Han; Seungwon Oh; Hoyoun Jung; Insik Chung; Kyung-Joong Kim 001 (IEEE Comput. Intell. Mag., 2023)

Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients. - Seungwon Oh; Sae-Ryung Kang; In-Jae Oh; Min-Soo Kim (BMC Bioinform., 2023)

Semantic Visual-Inertial SLAM for Automated Valet Parking. - Seungwon Oh; Junghoon Seo; Jungho Park; Viswanath Veera; Jersha Felix; Midhun Menon; Chinmay Shinde (ACCV (9), 2024)

LangBirds: An Agent for Angry Birds using a Large Language Model. - Seungwon Oh; Insik Chung; Kyung-Joong Kim 001 (CoG, 2024)

MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency. - Seungwon Oh; Young-Seok Kweon; Gi-Hwan Shin; Seong-Whan Lee (IEEE J. Biomed. Health Informatics, 2024)

RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games. - Hyeonchang Jeon; In-Chang Baek; Cheong-mok Bae; TaeHwa Park; Wonsang You; Taegwan Ha; Hoyoun Jung; Jinha Noh; Seungwon Oh; Kyung-Joong Kim 001 (IEEE Trans. Games, 2024)

Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss. - Sangyeon Park; Isaac Han; Seungwon Oh; Kyung-Joong Kim 001 (CoRR, 2025)

Recovering Plasticity of Neural Networks via Soft Weight Rescaling. - Seungwon Oh; Sangyeon Park; Isaac Han; Kyung-Joong Kim 001 (CoRR, 2025)