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 | 80 | 2020 |
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 | 9 | 2021 |
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 | 8 | 2022 |
Complex encoding K Kunanbayev, I Temirbek, A Zollanvari 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 8 | 2021 |
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 | 6 | 2020 |
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 | 1 | 2022 |
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 | 1 | 2021 |
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 |