Haider Raza
Affiliations: | University of Ulster, UK |
Area:
Machine Learning and Brain-Computer InterfacingGoogle:
"Haider Raza"Mean distance: 18.71 (cluster 60) | S | N | B | C | P |
Parents
Sign in to add mentorHubert Cecotti | grad student | 2014- | School of Computing and Intelligent Systems |
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Publications
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Bhattacharyya S, Konar A, Raza H, et al. (2021) Editorial: Brain-Computer Interfaces for Perception, Learning, and Motor Control. Frontiers in Neuroscience. 15: 758104 |
Rathee D, Raza H, Roy S, et al. (2021) A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface. Scientific Data. 8: 120 |
Raza H, Rathee D, Zhou SM, et al. (2019) Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. Neurocomputing. 343: 154-166 |
Devi SJ, Singh B, Raza H. (2019) Link Prediction Evaluation Using Palette Weisfeiler-Lehman Graph Labelling Algorithm International Journal of Knowledge and Systems Science. 10: 1-20 |
Chowdhury A, Raza H, Meena YK, et al. (2018) An EEG-EMG Correlation-based Brain-Computer Interface for Hand Orthosis Supported Neuro-Rehabilitation. Journal of Neuroscience Methods |
Chowdhury A, Meena YK, Raza H, et al. (2018) Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability. Ieee Journal of Biomedical and Health Informatics |
Chowdhury A, Raza H, Meena YK, et al. (2018) Online Covariate Shift Detection-Based Adaptive Brain–Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation Ieee Transactions On Cognitive and Developmental Systems. 10: 1070-1080 |
Rathee D, Raza H, Prasad G, et al. (2017) Current Source Density Estimation Enhances the Performance of Motor-Imagery related Brain-Computer Interface. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
Chowdhury A, Raza H, Dutta A, et al. (2017) EEG-EMG based Hybrid Brain Computer Interface for Triggering Hand Exoskeleton for Neuro-Rehabilitation Artificial Intelligence Review. 45 |
Raza H, Cecotti H, Li Y, et al. (2015) Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface Proceedings of the International Joint Conference On Neural Networks. 2015 |