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Kassymzhomart Kunanbayev
Kassymzhomart Kunanbayev
Verified email at kaist.ac.kr
Title
Cited by
Cited by
Year
Transformer fault prognosis using deep recurrent neural network over vibration signals
A Zollanvari, K Kunanbayev, SA Bitaghsir, M Bagheri
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020
772020
Data augmentation for p300-based brain-computer interfaces using generative adversarial networks
K Kunanbayev, B Abibullaev, A Zollanvari
2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-7, 2021
92021
Subject-independent classification of P300 event-related potentials using a small number of training subjects
B Abibullaev, K Kunanbayev, A Zollanvari
IEEE Transactions on Human-Machine Systems 52 (5), 843-854, 2022
82022
Complex encoding
K Kunanbayev, I Temirbek, A Zollanvari
2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021
82021
Design and optimization of a real-time asynchronous BCI control strategy for robotic manipulator assistance
B Saduanov, D Tokmurzina, K Kunanbayev, B Abibullaev
2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2020
62020
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data
K Kunanbayev, D Jang, W Jeong, N Kim, DS Kim
International Workshop on Machine Learning in Clinical Neuroimaging, 42-51, 2022
12022
Deep Transfer Learning for Subject-Independent ERP-based BCIs
K Kunanbayev, D Azhigulov, B Abibullaev, A Zollanvari
2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-3, 2021
12021
ROI-to-ROI fMRI Brain Functional Connectivity Analysis of Flickering Light Stimulation for Entraining Gamma Waves
K Kunanbayev, J Lee, DS Kim
Conference on Cognitive Computational Neuroscience 2023, 2023
2023
20 and 40-Hz Flickering-Light Stimulation Induces Changes in Functional Connectivity of Memory-Related Areas
J Lee, D Jang, K Kunanbayev, DS Kim
Conference on Cognitive Computational Neuroscience, CCN 2022, 2022
2022
Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning
K Kunanbayev, D Jang, J Lee, DS Kim
Conference on Cognitive Computational Neuroscience, CCN 2022, 2022
2022
Variance-Invariance-Covariance Regularization with Local Self-Supervised Learning Improves Hippocampus Segmentation with Fewer Labels
K Kunanbayev, D Jang, J Lee, DS Kim
Conference on Cognitive Computational Neuroscience, CCN 2022, 2022
2022
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