Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study. - Dong-Ok Won; Seong-Whan Lee (BCI, 2014)

A BCI speller based on SSVEP using high frequency stimuli design. - Dong-Ok Won; Haihong Zhang; Cuntai Guan; Seong-Whan Lee (SMC, 2014)

Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller. - No-Sang Kwak; Dong-Ok Won; Keun-Tae Kim; Hee-Jin Park; Seong-Whan Lee (SMC, 2016)

Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials. - Young-Jin Kee; Dong-Ok Won; Seong-Whan Lee (BCI, 2017)

Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG. - Bo-Ram Lee; Dong-Ok Won; Kwang-Suk Seo; Hyun Jeong Kim; Seong-Whan Lee (BCI, 2017)

Shifting stimuli for brain computer interface based on rapid serial visual presentation. - Dong-Ok Won; Han-Jeong Hwang; Klaus-Robert Müller; Seong-Whan Lee (BCI, 2017)

Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. - 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 (EMBC, 2017)

Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli. - Dong-Ok Won; Han-Jeong Hwang; Klaus-Robert Müller; Seong-Whan Lee (GBCIC, 2017)

Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. - Dong-Ok Won; Byung-Do Kim; Ho-Jung Kim; Tae-San Eom; Klaus-Robert Müller; Seong-Whan Lee (IJCAI, 2018)

Prediction of Individual Propofol Requirements based on Preoperative EEG Signals. - Young-Seok Kweon; Minji Lee; Dong-Ok Won; Kwang-Suk Seo (BCI, 2020)

Counterfactual Explanation Based on Gradual Construction for Deep Networks. - Sin-Han Kang; Honggyu Jung; Dong-Ok Won; Seong-Whan Lee (CoRR, 2020)

An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. - Dong-Ok Won; Klaus-Robert Müller; Seong-Whan Lee (Sci. Robotics, 2020)

Spatio-temporal Weight of Active Region for Human Activity Recognition. - Dong-Gyu Lee; Dong-Ok Won (ACPR (1), 2021)

Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks. - Ji-Seon Bang; Ji-Hoon Jeong; Dong-Ok Won (BCI, 2021)

Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention. - Sunil Kumar Prabhakar; Dong-Ok Won (Comput. Intell. Neurosci., 2021)

Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Dong-Ok Won (Sci. Program., 2021)

Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification. - Sunil Kumar Prabhakar; Young-Gi Ju; Harikumar Rajaguru; Dong-Ok Won (Frontiers Comput. Neurosci., 2022)

A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Kwangsub So; Dong-Ok Won (Frontiers Comput. Neurosci., 2022)

Counterfactual explanation based on gradual construction for deep networks. - Honggyu Jung; Sin-Han Kang; Hee-Dong Kim; Dong-Ok Won; Seong-Whan Lee (Pattern Recognit., 2022)

A Holistic Strategy for Classification of Sleep Stages with EEG. - Sunil Kumar Prabhakar; Harikumar Rajaguru; Semin Ryu; In Cheol Jeong; Dong-Ok Won (Sensors, 2022)

An Automated Framework for Accurately Classifying Financial Tables in Enterprise Analysis Reports. - Ho-Jung Kim; Yeong-Eun Jeon; Won-Seok Jung; Dae-Hyun Bae; Yung-Il Park; Dong-Ok Won (ACPR (1), 2023)

Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface. - Dogeun Park; Young-Gi Ju; Dong-Ok Won (ACPR (3), 2023)

The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI. - Yeong-Eun Jeon; Ga-Hyun Son; Ho-Jung Kim; Jae-Jun Lee; Dong-Ok Won (PIPPI@MICCAI, 2023)

PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection. - Dong-Ok Won; Yong-Nam Jang; Seong-Whan Lee (IEEE Trans. Emerg. Top. Comput., 2023)

Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals. - Sunil Kumar Prabhakar; Dong-Ok Won (Frontiers Artif. Intell., 2023)

Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. - Ji-Seon Bang; Dong-Ok Won; Tae-Eui Kam; Seong-Whan Lee (IEEE Trans. Intell. Transp. Syst., 2023)

Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models. - Sunil Kumar Prabhakar; Dong-Ok Won (Expert Syst. Appl., 2023)

Multiple robust approaches for EEG-based driving fatigue detection and classification. - Sunil Kumar Prabhakar; Dong-Ok Won (Array, 2023)

A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding. - Junmo Kim 001; Keun-Soo Heo; Dong-Hee Shin; Hyeonyeong Nam; Dong-Ok Won; Ji-Hoon Jeong; Tae-Eui Kam (Expert Syst. Appl., 2024)

MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. - Dong-Hee Shin; Young-Han Son; Jun-Mo Kim 001; Hee-Jun Ahn; Jun-Ho Seo; Chang-Hoon Ji; Ji-Wung Han; Byung-Jun Lee 001; Dong-Ok Won; Tae-Eui Kam (IEEE Trans. Syst. Man Cybern. Syst., 2024)

SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification. - Sunil Kumar Prabhakar; Dong-Ok Won (Algorithms, 2024)

HM-GDM: Hybrid Measures and Graph-Dependent Modeling for Environmental Sound Classification. - Sunil Kumar Prabhakar; Young-Gi Ju; Dong-Ok Won (Int. J. Comput. Intell. Syst., 2024)

Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases. - Dogeun Park; Ho-Jung Kim; Young-Gi Ju; Keun-Tae Kim; Dong-Ok Won (BCI, 2025)

Parameter Pliable Variational Mode Decomposition and Clustering Based Gravitational Search Algorithm Techniques for Bird Sound Classification. - Sunil Kumar Prabhakar; Dogeun Park; Young-Gi Ju; Dong-Ok Won (ICACT, 2025)

A Multi-CAM Based Robust Interpretations Framework in Medical Image Analysis. - Yeong-Eun Jeon; Minseo Hwangbo; Minyoung Heo; Ho-Jung Kim; Ga-Hyun Son; Dong-Ok Won (ICCE, 2025)

A Proposed LLM-Based Supported Treatment Framework for Intracerebral Hemorrhage. - Ho-Jung Kim; Dogeun Park; Jae-Jun Lee; Jin-Pyeong Jeon; Dong-Ok Won (ICCE, 2025)

A Proposed Depth Camera-Based Gait Monitoring System for Stroke Detection. - Min-Hyeong Lee; Ho-Jung Kim; In Cheol Jeong; Jae-Jun Lee; Chul-Ho Kim; Dong-Ok Won (ICCE, 2025)

AI-Enabled Speech Monitoring for Dysarthria Detection in Consumer Electronics. - Seoyeong Lee; Sunghan Lee; Goeun Park; Dong-Ok Won; Chul-Ho Kim; Jae-Jun Lee; In Cheol Jeong (ICCE, 2025)

Integrative Human-Computer Interaction System Using Eyes and Facial Movement. - Jehyeon Park; Jeong-Woo Jang; Dogeun Park; Young-Gi Ju; Keun-Tae Kim; Chul-Ho Kim; Jae-Jun Lee; Dong-Ok Won (ICCE, 2025)

A Conversational Interaction Framework Using Large Language Models for Personalized Elderly Care. - Kwangsub So; Ho-Jung Kim; Dong-Soo Shin; Jin-Ah Sim; Jae-Jun Lee; David Duong; Kirsten Meisinger; Dong-Ok Won (ICCE, 2025)