Dong-Ok Won

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Steady State Visual Evoked

Text Classification

Convolutional Neural Network

Top Venues

Expert Syst. Appl.

Frontiers Comput. Neurosci.

Publications

Junmo Kim, Keun-Soo Heo, Dong-Hee Shin, Hyeonyeong Nam, Dong-Ok Won, Ji-Hoon Jeong, Tae-Eui Kam
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio-spectral-temporal EEG signal decoding. Expert Syst. Appl. 251 (2024)
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
MARS: Multiagent Reinforcement Learning for Spatial - Spectral and Temporal Feature Selection in EEG-Based BCI. IEEE Trans. Syst. Man Cybern. Syst. 54 (5) (2024)
Sunil Kumar Prabhakar, Dong-Ok Won
SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification. Algorithms 17 (7) (2024)
Sunil Kumar Prabhakar, Dong-Ok Won
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals. Frontiers Artif. Intell. 6 (2023)
Dong-Ok Won, Yong-Nam Jang, Seong-Whan Lee
PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection. IEEE Trans. Emerg. Top. Comput. 11 (1) (2023)
Dogeun Park, Young-Gi Ju, Dong-Ok Won
Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface. ACPR (3) (2023)
Yeong-Eun Jeon, Ga-Hyun Son, Ho-Jung Kim, Jae-Jun Lee, Dong-Ok Won
The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI. PIPPI@MICCAI (2023)
Sunil Kumar Prabhakar, Dong-Ok Won
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models. Expert Syst. Appl. 221 (2023)
Ho-Jung Kim, Yeong-Eun Jeon, Won-Seok Jung, Dae-Hyun Bae, Yung-Il Park, Dong-Ok Won
An Automated Framework for Accurately Classifying Financial Tables in Enterprise Analysis Reports. ACPR (1) (2023)
Sunil Kumar Prabhakar, Dong-Ok Won
Multiple robust approaches for EEG-based driving fatigue detection and classification. Array 19 (2023)
Ji-Seon Bang, Dong-Ok Won, Tae-Eui Kam, Seong-Whan Lee
Motion Sickness Prediction Based on Dry EEG in Real Driving Environment. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Kwangsub So, Dong-Ok Won
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network. Frontiers Comput. Neurosci. 16 (2022)
Sunil Kumar Prabhakar, Young-Gi Ju, Harikumar Rajaguru, Dong-Ok Won
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification. Frontiers Comput. Neurosci. 16 (2022)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, In cheol Jeong, Dong-Ok Won
A Holistic Strategy for Classification of Sleep Stages with EEG. Sensors 22 (9) (2022)
Honggyu Jung, Sin-Han Kang, Hee-Dong Kim, Dong-Ok Won, Seong-Whan Lee
Counterfactual explanation based on gradual construction for deep networks. Pattern Recognit. 132 (2022)
Sunil Kumar Prabhakar, Dong-Ok Won
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention. Comput. Intell. Neurosci. 2021 (2021)
Ji-Seon Bang, Ji-Hoon Jeong, Dong-Ok Won
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks. BCI (2021)
Dong-Gyu Lee, Dong-Ok Won
Spatio-temporal Weight of Active Region for Human Activity Recognition. ACPR (1) (2021)
Sunil Kumar Prabhakar, Harikumar Rajaguru, Dong-Ok Won
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification. Sci. Program. 2021 (2021)
Young-Seok Kweon, Minji Lee, Dong-Ok Won, Kwang-Suk Seo
Prediction of Individual Propofol Requirements based on Preoperative EEG Signals. BCI (2020)
Dong-Ok Won, Klaus-Robert Müller, Seong-Whan Lee
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions. Sci. Robotics 5 (46) (2020)
Sin-Han Kang, Honggyu Jung, Dong-Ok Won, Seong-Whan Lee
Counterfactual Explanation Based on Gradual Construction for Deep Networks. CoRR (2020)
Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. IJCAI (2018)
Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee
Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli. GBCIC (2017)
Bo-Ram Lee, Dong-Ok Won, Kwang-Suk Seo, Hyun Jeong Kim, Seong-Whan Lee
Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG. BCI (2017)
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
Change in functional networks for transitions between states of consciousness during midazolam-induced sedation. EMBC (2017)
Young-Jin Kee, Dong-Ok Won, Seong-Whan Lee
Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials. BCI (2017)
Dong-Ok Won, Han-Jeong Hwang, Klaus-Robert Müller, Seong-Whan Lee
Shifting stimuli for brain computer interface based on rapid serial visual presentation. BCI (2017)
No-Sang Kwak, Dong-Ok Won, Keun-Tae Kim, Hee-Jin Park, Seong-Whan Lee
Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller. SMC (2016)
Dong-Ok Won, Seong-Whan Lee
Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study. BCI (2014)
Dong-Ok Won, Haihong Zhang, Cuntai Guan, Seong-Whan Lee
A BCI speller based on SSVEP using high frequency stimuli design. SMC (2014)