Mahnaz Arvaneh

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Kai Keng AngGroup Leader, Senior Scientist at I2R, A*STAR; Adj. Assoc. Prof. at Nanyang Technological Univ.Verified email at i2r.a-star.edu.sg
Cuntai GuanPresident's Chair Professor in Computer Science and Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Lyudmila MihaylovaProfessor of Signal Processing and Control, University of Sheffield, UKVerified email at sheffield.ac.uk
Chai QuekSchool of Computer Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Ian H RobertsonTrinity College DublinVerified email at tcd.ie
Ahmed M. AzabPhD student university of SheffieldVerified email at ieee.org
Tomas WardInsight SFI Research Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
Toshihisa TanakaTokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Kok Soon PhuaInstitute for Infocomm Research, A*STARVerified email at i2r.a-star.edu.sg
Christopher WirthUniversity of ManchesterVerified email at manchester.ac.uk
Jake TothPhD Student, University of SheffieldVerified email at sheffield.ac.uk
Allan De FreitasUniversity of PretoriaVerified email at up.ac.za
Hamed AhmadiSenior Lecturer (Associate professor) at University of YorkVerified email at york.ac.uk
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
Siobhan HartyTrinity College DublinVerified email at tcd.ie
Bettina HabeltTU DresdenVerified email at tu-dresden.de
Ivan MinevUniversity of SheffieldVerified email at sheffield.ac.uk
Yuiko KumagaiTokyo University of Agriculture and TechnologyVerified email at sip.tuat.ac.jp

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	407	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	144	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	103	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	98	2013
Domain-specific and domain-general processes underlying metacognitive judgments LM Fitzgerald, M Arvaneh, PM Dockree Consciousness and Cognition 49, 264-277, 2017	75	2017
A P300-Based Brain-Computer Interface for Improving Attention M Arvaneh, IH Robertson, TE Ward Frontiers in Human Neuroscience 12, 2018	68	2018
# 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	59	2021
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	46	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	44	2019
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	42	2018
Familiarity affects entrainment of EEG in music listening Y Kumagai, M Arvaneh, T Tanaka Frontiers in human neuroscience 11, 384, 2017	37	2017
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	35	2018
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	35	2011
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	28	2012
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	27	2019
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	25	2020
Signal processing and machine learning for brain-machine interfaces T Tanaka, M Arvaneh Institution of Engineering and Technology, 2018	23	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	22	2017
Brain-computer interface technology for speech recognition: A review MM AlSaleh, M Arvaneh, H Christensen, RK Moore 2016 Asia-Pacific Signal and Information Processing Association Annual …, 2016	21	2016

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