| A subject-to-subject transfer learning framework based on Jensen-Shannon divergence for improving brain-computer interface J Giles, KK Ang, LS Mihaylova, M Arvaneh ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 22 | 2019 |
| Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain–computer interface S Mansour, J Giles, KK Ang, KPS Nair, KS Phua, M Arvaneh Scientific Reports 12 (1), 16223, 2022 | 8 | 2022 |
| A transfer learning algorithm to reduce brain-computer interface calibration time for long-term users J Giles, KK Ang, KS Phua, M Arvaneh Frontiers in Neuroergonomics 3, 837307, 2022 | 5 | 2022 |
| Data space adaptation for multiclass motor imagery-based BCI J Giles, KK Ang, L Mihaylova, M Arvaneh 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 4 | 2018 |
| Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces J Giles, KK Ang, L Mihaylova, M Arvaneh 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 2 | 2020 |
| A Clinical Trial Evaluating Feasibility and Acceptability of a Brain-computer Interface for Telerehabilitation in Stroke Patients S Mansour, J Giles, KPS Nair, R Marshal, A Ali, M Arvaneh | | 2024 |
| Analysing and Modelling Human Trust to a Navigation Robot HC Onyeoru, C Wirth, J Giles, M Arvaneh 2023 IEEE International Conference on Metrology for eXtended Reality …, 2023 | | 2023 |
| Transfer learning for motor imagery based brain computer interfaces J Giles University of Sheffield, 2023 | | 2023 |
| Comparing the Performance of Contralesional and Ipsilesional brain-computer interface in stroke survivors S Mansour, J Giles, KK Ang, KPS Nair, KS Phua, M Arvaneh Neuroergonomics Conference 2021 Proceedings, 2021 | | 2021 |
