Dong-Ok Won

42 papers A* 1B 2C 6Journal 18Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
O-CCR: oriented cervical canal region detection framework toward cervical change assessment in transvaginal ultrasound.
BMC Medical Imaging
Minseo Hwangbo, Yeong-Eun Jeon, Kyong-No Lee, Keun-Young Lee, Jae Jun Lee, Ga-Hyun Son, Dong-Ok Won
2025 C conf
A Conversational Interaction Framework Using Large Language Models for Personalized Elderly Care.
ICCE
Kwangsub So, Ho-Jung Kim, Dong-Soo Shin, Jin-ah Sim, Jae-Jun Lee, David Duong, Kirsten Meisinger, Dong-Ok Won
2025 C conf
A Multi-CAM Based Robust Interpretations Framework in Medical Image Analysis.
ICCE
Yeong-Eun Jeon, Minseo Hwangbo, Minyoung Heo, Ho-Jung Kim, Ga-Hyun Son, Dong-Ok Won
2025 C conf
A Proposed Depth Camera-Based Gait Monitoring System for Stroke Detection.
ICCE
Min-Hyeong Lee, Ho-Jung Kim, In Cheol Jeong, Jae-Jun Lee, Chul-Ho Kim, Dong-Ok Won
2025 C conf
A Proposed LLM-Based Supported Treatment Framework for Intracerebral Hemorrhage.
ICCE
Ho-Jung Kim, Dogeun Park, Jae-Jun Lee, Jin-Pyeong Jeon, Dong-Ok Won
2025 C conf
AI-Enabled Speech Monitoring for Dysarthria Detection in Consumer Electronics.
ICCE
Seoyeong Lee, Sunghan Lee, Goeun Park, Dong-Ok Won, Chul-Ho Kim, Jae-Jun Lee, In Cheol Jeong
2025 C conf
Integrative Human-Computer Interaction System Using Eyes and Facial Movement.
ICCE
Jehyeon Park, Jeong-woo Jang, Dogeun Park, Young-Gi Ju, Keun-Tae Kim, Chul-Ho Kim, Jae-Jun Lee, Dong-Ok Won
2025 — conf
Parameter Pliable Variational Mode Decomposition and Clustering Based Gravitational Search Algorithm Techniques for Bird Sound Classification.
ICACT
Sunil Kumar Prabhakar, Dogeun Park, Young-Gi Ju, Dong-Ok Won
2025 — conf
SSPNet: Towards Feasible Spatio-Spectral Portraits-Based Deep Learning Framework for Neurodegenerative Disease Multi-classification.
MICCAI (4)
Ho-Jung Kim, Dogeun Park, Jeong-woo Jang, Young-Gi Ju, Dong-Ok Won
2025 — conf
Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases.
BCI
Dogeun Park, Ho-Jung Kim, Young-Gi Ju, Keun-Tae Kim, Dong-Ok Won
2024 J jnl
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding.
Expert Syst. Appl.
Junmo Kim, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam
2024 J jnl
HM-GDM: Hybrid Measures and Graph-Dependent Modeling for Environmental Sound Classification.
Int. J. Comput. Intell. Syst.
Sunil Kumar Prabhakar, Young-Gi Ju, Dong-Ok Won
2024 J jnl
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI.
IEEE Trans. Syst. Man Cybern. Syst.
Dong-Hee Shin, Young-Han Son, Jun-Mo Kim, Hee-Jun Ahn, Jun-Ho Seo, Chang-Hoon Ji, Ji-Wung Han, Byung-Jun Lee, Dong-Ok Won, Tae-Eui Kam
2024 J jnl
SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification.
Algorithms
Sunil Kumar Prabhakar, Dong-Ok Won
2023 — conf
An Automated Framework for Accurately Classifying Financial Tables in Enterprise Analysis Reports.
ACPR (1)
Ho-Jung Kim, Yeong-Eun Jeon, Won-Seok Jung, Dae-Hyun Bae, Yung-Il Park, Dong-Ok Won
2023 J jnl
Motion Sickness Prediction Based on Dry EEG in Real Driving Environment.
IEEE Trans. Intell. Transp. Syst.
Ji-Seon Bang, Dong-Ok Won, Tae-Eui Kam, Seong-Whan Lee
2023 J jnl
Multiple robust approaches for EEG-based driving fatigue detection and classification.
Array
Sunil Kumar Prabhakar, Dong-Ok Won
2023 J jnl
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals.
Frontiers Artif. Intell.
Sunil Kumar Prabhakar, Dong-Ok Won
2023 J jnl
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.
Expert Syst. Appl.
Sunil Kumar Prabhakar, Dong-Ok Won
2023 J jnl
PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection.
IEEE Trans. Emerg. Top. Comput.
Dong-Ok Won, Yong-Nam Jang, Seong-Whan Lee
2023 — conf
Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface.
ACPR (3)
Dogeun Park, Young-Gi Ju, Dong-Ok Won
2023 — conf
The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI.
PIPPI@MICCAI
Yeong-Eun Jeon, Ga-Hyun Son, Ho-Jung Kim, Jae-Jun Lee, Dong-Ok Won
2022 J jnl
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network.
Frontiers Comput. Neurosci.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won
2022 J jnl
A Holistic Strategy for Classification of Sleep Stages with EEG.
Sensors
Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, In Cheol Jeong, Dong-Ok Won
2022 J jnl
Counterfactual explanation based on gradual construction for deep networks.
Pattern Recognit.
Honggyu Jung, Sin-Han Kang, Hee-Dong Kim, Dong-Ok Won, Seong-Whan Lee
2022 J jnl
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification.
Frontiers Comput. Neurosci.
Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, Dong-Ok Won
2021 — conf
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks.
BCI
Ji-Seon Bang, Ji-Hoon Jeong, Dong-Ok Won
2021 J jnl
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention.
Comput. Intell. Neurosci.
Sunil Kumar Prabhakar, Dong-Ok Won
2021 J jnl
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification.
Sci. Program.
Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won
2021 — conf
Spatio-temporal Weight of Active Region for Human Activity Recognition.
ACPR (1)
Dong-Gyu Lee, Dong-Ok Won
2020 J jnl
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions.
Sci. Robotics
Dong-Ok Won, Klaus-Robert Müller, Seong-Whan Lee
2020 J jnl
Counterfactual Explanation Based on Gradual Construction for Deep Networks.
CoRR
Sin-Han Kang, Honggyu Jung, Dong-Ok Won, Seong-Whan Lee
2020 — conf
Prediction of Individual Propofol Requirements based on Preoperative EEG Signals.
BCI
Young-Seok Kweon, Minji Lee, Dong-Ok Won, Kwang-Suk Seo
2018 A* conf
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling.
IJCAI
Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee
2017 — conf
Change in functional networks for transitions between states of consciousness during midazolam-induced sedation.
EMBC
Minji Lee, Robert D. Sanders, Seul-Ki Yeom, Dong-Ok Won, Hwi-Jae Kim, Bo-Ram Lee, Kwang-Suk Seo, Hyun Jeong Kim, Giulio Tononi, Seong-Whan Lee
2017 — conf
Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials.
BCI
Young-Jin Kee, Dong-Ok Won, Seong-Whan Lee
2017 — conf
Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG.
BCI
Bo-Ram Lee, Dong-Ok Won, Kwang-Suk Seo, Hyun Jeong Kim, Seong-Whan Lee
2017 — conf
Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli.
GBCIC
Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee
2017 — conf
Shifting stimuli for brain computer interface based on rapid serial visual presentation.
BCI
Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee
2016 B conf
Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller.
SMC
No-Sang Kwak, Dong-Ok Won, Keun-Tae Kim, Hee-Jin Park, Seong-Whan Lee
2014 B conf
A BCI speller based on SSVEP using high frequency stimuli design.
SMC
Dong-Ok Won, Haihong Zhang, Cuntai Guan, Seong-Whan Lee
2014 — conf
Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study.
BCI
Dong-Ok Won, Seong-Whan Lee