Learning temporal information for brain-computer interface using convolutional neural networks S Sakhavi, C Guan, S Yan IEEE transactions on neural networks and learning systems 29 (11), 5619-5629, 2018 | 297 | 2018 |
On the use of Convolutional Neural Networks and Augmented CSP Features for Multi-Class Motor Imagery of EEG Signals Classification H Yang, S Sakhavi, KK Ang, C Guan EMBC 2015, 2015 | 188 | 2015 |
Parallel convolutional-linear neural network for motor imagery classification S Sakhavi, C Guan, S Yan 2015 23rd European Signal Processing Conference (EUSIPCO), 2736-2740, 2015 | 108 | 2015 |
Convolutional neural network-based transfer learning and knowledge distillation using multi-subject data in motor imagery BCI S Sakhavi, C Guan 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 588-591, 2017 | 37 | 2017 |
Object proposal generation with fully convolutional networks Z Jie, WF Lu, S Sakhavi, Y Wei, EHF Tay, S Yan IEEE transactions on circuits and systems for video technology 28 (1), 62-75, 2016 | 21 | 2016 |
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) H Yang, S Sakhavi, KK Ang, C Guan | 14 | 2015 |
Application of deep learning methods in brain-computer interface systems S Sakhavi PQDT-Global, 2017 | 6 | 2017 |