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Dong-Ok Won
ORCID
Publication Activity (10 Years)
Years Active: 2014-2023
Publications (10 Years): 25
Top Topics
Convolutional Neural Networks
Deep Learning
Evoked Potentials
Eeg Signals
Top Venues
BCI
SMC
Frontiers Comput. Neurosci.
ACPR (1)
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Publications
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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)