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2020 – today
- 2024
[j16]Sunil Kumar Prabhakar, Dong-Ok Won
:
SCMs: Systematic Conglomerated Models for Audio Cough Signal Classification. Algorithms 17(7): 302 (2024)- [j15]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: 123975 (2024) - [j14]Sunil Kumar Prabhakar, Young-Gi Ju, Dong-Ok Won:
HM-GDM: Hybrid Measures and Graph-Dependent Modeling for Environmental Sound Classification. Int. J. Comput. Intell. Syst. 17(1): 212 (2024) - [j13]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): 3084-3096 (2024) - 2023
- [j12]Sunil Kumar Prabhakar, Dong-Ok Won:
Multiple robust approaches for EEG-based driving fatigue detection and classification. Array 19: 100320 (2023) - [j11]Sunil Kumar Prabhakar, Dong-Ok Won:
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models. Expert Syst. Appl. 221: 119720 (2023) - [j10]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) - [j9]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): 82-94 (2023) - [j8]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): 5442-5455 (2023) - [c15]Dogeun Park, Young-Gi Ju, Dong-Ok Won:
Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface. ACPR (3) 2023: 15-25 - [c14]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: 374-384 - [c13]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: 98-108 - 2022
- [j7]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) - [j6]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) - [j5]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: 108958 (2022) - [j4]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): 3557 (2022) - 2021
- [j3]Sunil Kumar Prabhakar, Dong-Ok Won:
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention. Comput. Intell. Neurosci. 2021: 9425655:1-9425655:16 (2021) - [j2]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: 2420254:1-2420254:12 (2021) - [c12]Dong-Gyu Lee, Dong-Ok Won:
Spatio-temporal Weight of Active Region for Human Activity Recognition. ACPR (1) 2021: 92-103 - [c11]Ji-Seon Bang, Ji-Hoon Jeong, Dong-Ok Won:
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks. BCI 2021: 1-6 - 2020
- [j1]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): 9764 (2020) - [c10]Young-Seok Kweon, Minji Lee, Dong-Ok Won, Kwang-Suk Seo:
Prediction of Individual Propofol Requirements based on Preoperative EEG Signals. BCI 2020: 1-5 - [i1]Sin-Han Kang, Honggyu Jung, Dong-Ok Won, Seong-Whan Lee:
Counterfactual Explanation Based on Gradual Construction for Deep Networks. CoRR abs/2008.01897 (2020)
2010 – 2019
- 2018
- [c9]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: 5883-5885 - 2017
- [c8]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: 40-41 - [c7]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: 88-90 - [c6]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: 106-108 - [c5]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: 958-961 - [c4]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 - 2016
- [c3]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: 1502-1505 - 2014
- [c2]Dong-Ok Won, Seong-Whan Lee:
Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study. BCI 2014: 1-2 - [c1]Dong-Ok Won, Haihong Zhang, Cuntai Guan, Seong-Whan Lee:
A BCI speller based on SSVEP using high frequency stimuli design. SMC 2014: 1068-1071
Coauthor Index
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