Dong-Ok Won
Orcid: 0000-0002-2839-6524
According to our database1,
Dong-Ok Won
authored at least 28 papers
between 2014 and 2023.
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Bibliography
2023
Multiple robust approaches for EEG-based driving fatigue detection and classification.
Array, September, 2023
Phonocardiogram signal classification for the detection of heart valve diseases using robust conglomerated models.
Expert Syst. Appl., July, 2023
IEEE Trans. Intell. Transp. Syst., May, 2023
Performance comparison of bio-inspired and learning-based clustering analysis with machine learning techniques for classification of EEG signals.
Frontiers Artif. Intell., February, 2023
PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection.
IEEE Trans. Emerg. Top. Comput., 2023
The Comparison Analysis of the Cervical Features Between Second-and Third-Trimester Pregnancy in Ultrasound Images Using eXplainable AI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023
Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
An Automated Framework for Accurately Classifying Financial Tables in Enterprise Analysis Reports.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
2022
Pattern Recognit., 2022
A Framework for Text Classification Using Evolutionary Contiguous Convolutional Neural Network and Swarm Based Deep Neural Network.
Frontiers Comput. Neurosci., 2022
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification.
Frontiers Comput. Neurosci., 2022
2021
Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification.
Sci. Program., 2021
Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention.
Comput. Intell. Neurosci., 2021
Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021
2020
An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions.
Sci. Robotics, 2020
CoRR, 2020
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2018
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Improving Classification Performance of a brain-Computer Interface System based on Rapid Serial Visual Presentation by Shifting stimuli.
Proceedings of the From Vision to Reality, 2017
Change in functional networks for transitions between states of consciousness during midazolam-induced sedation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Shifting stimuli for brain computer interface based on rapid serial visual presentation.
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
Classification of wakefulness and anesthetic sedation using combination feature of EEG and ECG.
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials.
Proceedings of the 5th International Winter Conference on Brain-Computer Interface, 2017
2016
Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Frequency-wise optimal duty-cycle selection in steady state visual evoked potentials: A pilot study.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014