Parastoo Fahimi
Parastoo Fahimi
Postdoctoral Researcher, Singapore-ETH center
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Cited by
Cited by
Inter-subject transfer learning with end-to-end deep convolutional neural network for EEG-based BCI
F Fahimi, Z Zhang, WB Goh, TS Lee, KK Ang, C Guan
Journal of Neural Engineering, 2019
Generative adversarial networks-based data augmentation for brain–computer Interface
F Fahimi, S Dosen, KK Ang, N Mrachacz-Kersting, C Guan
IEEE transactions on neural networks and learning systems 32 (9), 4039-4051, 2020
Towards EEG Generation Using GANs for BCI Applications
F Fahimi, Z Zhang, WB Goh, KK Ang, C Guan
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
Personalized features for attention detection in children with Attention Deficit Hyperactivity Disorder
F Fahimi, C Guan, WB Goh, KK Ang, LC Guan, TS Lee
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
EEG predicts the attention level of elderly measured by RBANS
F Fahimi, WB Goh, TS Lee, C Guan
International Journal of Crowd Science 2 (3), 272-282, 2018
Deep Convolutional Neural Network for the Detection of Attentive Mental State in Elderly
F Fahimi, Z Zhang, TS Lee, C Guan
Neural Indexes of Attention Extracted from EEG Correlate with Elderly Reaction Time in response to an Attentional Task
F Fahimi, WB Goh, TS Lee, C Guan
Proceedings of the 3rd International Conference on Crowd Science and …, 2018
Identifying Fallers Based on Functional Parameters: A Machine Learning Approach
F Fahimi, WR Taylor, R Dietzel, G Armbrecht, N Singh
8th Asia-Pacific Conference on Computer Science and Data Engineering 2021 …, 2022
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure
F Fahimi, Y Guo, SC Tong, A Ng, SOY Bing, B Choo, H Weiliang, S Lee, ...
AMIA Annual Symposium Proceedings 2020, 432, 2020
Brain-computer interface for mental attention
F Fahimi
Nanyang Technological University (NTU), 2019
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