Mahnaz Arvaneh

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Kai Keng AngGroup Leader, Senior Principal Scientist I at I2R, A*STAR; Adj. Assoc. Prof. at NanyangVerified email at i2r.a-star.edu.sg
Lyudmila MihaylovaProfessor of Signal Processing and Control, University of Sheffield, UKVerified email at sheffield.ac.uk
Cuntai GuanPresident's Chair Professor, CCDS, Nanyang Technological UniversityVerified email at ntu.edu.sg
Chai QuekSchool of Computer Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Ian H RobertsonTrinity College DublinVerified email at tcd.ie
Tomas WardInsight SFI Research Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
Ahmed M. AzabHead of Biomedical Engineering Department, Technical Research centreVerified email at ieee.org
Toshihisa TanakaTokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Jake TothPhD Student, University of SheffieldVerified email at sheffield.ac.uk
Christopher WirthUniversity of ManchesterVerified email at manchester.ac.uk
Kok Soon PhuaInstitute for Infocomm Research, A*STARVerified email at i2r.a-star.edu.sg
Hamed AhmadiReader at University of YorkVerified email at york.ac.uk
Allan De FreitasUniversity of PretoriaVerified email at up.ac.za
Salem SL MansourDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UKVerified email at sheffield.ac.uk
Bettina HabeltTU DresdenVerified email at tu-dresden.de
Siobhan HartyTrinity College DublinVerified email at tcd.ie
Heidi ChristensenUniversity of SheffieldVerified email at sheffield.ac.uk
Roger K. MooreProfessor of Spoken Language Processing, Sheffield UniversityVerified email at sheffield.ac.uk
Mashael AlsalehKing Saud UniversityVerified email at ksu.edu.sa
Nadine BernhardtTU DresdenVerified email at tu-dresden.de

Mahnaz Arvaneh

Senior Lecturer (Associate Professor) at University of Sheffield

Verified email at sheffield.ac.uk

Brain Computer Interface Neurocomputation Biomedical Signal Processing Machine Learning Pattern Recognition


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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	474	2011
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	159	2019
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	156	2013
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	106	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	99	2021
Domain-specific and domain-general processes underlying metacognitive judgments LM Fitzgerald, M Arvaneh, PM Dockree Consciousness and Cognition 49, 264-277, 2017	87	2017
A P300-Based Brain-Computer Interface for Improving Attention M Arvaneh, IH Robertson, TE Ward Frontiers in Human Neuroscience 12, 2018	84	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	63	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	61	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	57	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	47	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	46	2018
Familiarity affects entrainment of EEG in music listening Y Kumagai, M Arvaneh, T Tanaka Frontiers in human neuroscience 11, 384, 2017	45	2017
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	38	2022
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	36	2019
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	33	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	33	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	31	2020
Signal processing and machine learning for brain-machine interfaces T Tanaka, M Arvaneh Institution of Engineering and Technology, 2018	31	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	30	2017

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