Mahnaz Arvaneh
Mahnaz Arvaneh
Senior Lecturer (Associate Professor) at University of Sheffield
Verified email at
Cited by
Cited by
Optimizing the channel selection and classification accuracy in EEG-based BCI
M Arvaneh, C Guan, KK Ang, C Quek
IEEE Transactions on Biomedical Engineering, 58 (6), 1865-1873, 2011
Optimizing Spatial Filters by Minimizing-Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface
M Arvaneh, C Guan, KK Ang, C Quek
IEEE Transactions on Neural Networks and Learning Systems, 24 (4), 610- 619, 2013
Weighted transfer learning for improving motor imagery-based brain–computer interface
AM Azab, L Mihaylova, KK Ang, M Arvaneh
IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (7 …, 2019
EEG data space adaptation to reduce intersession nonstationarity in brain-computer interface
M Arvaneh, C Guan, KK Ang, C Quek
Neural computation 25 (8), 2146-2171, 2013
# EEGManyLabs: Investigating the replicability of influential EEG experiments
YG Pavlov, N Adamian, S Appelhoff, M Arvaneh, CSY Benwell, C Beste, ...
cortex 144, 213-229, 2021
Domain-specific and domain-general processes underlying metacognitive judgments
LM Fitzgerald, M Arvaneh, PM Dockree
Consciousness and Cognition 49, 264-277, 2017
A P300-Based Brain-Computer Interface for Improving Attention
M Arvaneh, IH Robertson, TE Ward
Frontiers in Human Neuroscience 12, 2018
A review on transfer learning approaches in brain–computer interface
AM Azab, J Toth, LS Mihaylova, M Arvaneh
Signal processing and machine learning for brain-machine interfaces, 81-98, 2018
Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement
M Arvaneh, C Guan, KK Ang, TE Ward, KSG Chua, CWK Kuah, ...
Neural Computing and Applications, 1-14, 2016
Spatio-temporal Gaussian process models for extended and group object tracking with irregular shapes
W Aftab, R Hostettler, A De Freitas, M Arvaneh, L Mihaylova
IEEE Transactions on Vehicular Technology 68 (3), 2137-2151, 2019
Spatially sparsed common spatial pattern to improve BCI performance
M Arvaneh, C Guan, KK Ang, HC Quek
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Prefrontal modulation of visual processing and sustained attention in aging, a tDCS–EEG coregistration approach
MB Brosnan, M Arvaneh, S Harty, T Maguire, R O'Connell, IH Robertson, ...
Journal of Cognitive Neuroscience 30 (11), 1630-1645, 2018
Familiarity affects entrainment of EEG in music listening
Y Kumagai, M Arvaneh, T Tanaka
Frontiers in human neuroscience 11, 384, 2017
Towards error categorisation in BCI: single-trial EEG classification between different errors
C Wirth, PM Dockree, S Harty, E Lacey, M Arvaneh
Journal of neural engineering 17 (1), 016008, 2019
Efficacy of brain–computer interface and the impact of its design characteristics on poststroke upper-limb rehabilitation: A systematic review and meta-analysis of randomized …
S Mansour, KK Ang, KPS Nair, KS Phua, M Arvaneh
Clinical EEG and Neuroscience 53 (1), 79-90, 2022
Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface
M Arvaneh, I Robertson, TE Ward
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Robust EEG channel selection across sessions in brain-computer interface involving stroke patients
M Arvaneh, C Guan, KK Ang, C Quek
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6, 2012
Dynamic time warping-based transfer learning for improving common spatial patterns in brain–computer interface
AM Azab, H Ahmadi, L Mihaylova, M Arvaneh
Journal of neural engineering 17 (1), 016061, 2020
Signal processing and machine learning for brain-machine interfaces
T Tanaka, M Arvaneh
Institution of Engineering and Technology, 2018
A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods
W Aftab, A De Freitas, M Arvaneh, L Mihaylova
2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
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