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
Tomas WardInsight SFI Research Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
Ahmed M. AzabPhD student university of SheffieldVerified email at ieee.org
Toshihisa TanakaTokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Christopher WirthUniversity of SheffieldVerified email at sheffield.ac.uk
Allan De FreitasUniversity of PretoriaVerified email at up.ac.za
Jake TothPhD Student, University of SheffieldVerified email at sheffield.ac.uk
Kok Soon PhuaInstitute for Infocomm Research, A*STARVerified email at i2r.a-star.edu.sg
Hamed AhmadiAssistant professor at University of YorkVerified email at york.ac.uk
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
Méadhbh B. BrosnanMarie Curie Postdoctoral Fellow, University of OxfordVerified email at psy.ox.ac.uk
Redmond G O'ConnellProfessor in Decision Neuroscience, Trinity College Institute of Neuroscience and School ofVerified email at tcd.ie
Bettina HabeltTU DresdenVerified email at tu-dresden.de
Ivan MinevUniversity of SheffieldVerified email at sheffield.ac.uk

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	362	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	137	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	92	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	67	2019
Domain-specific and domain-general processes underlying metacognitive judgments LM Fitzgerald, M Arvaneh, PM Dockree Consciousness and Cognition 49, 264-277, 2017	56	2017
A P300-Based Brain-Computer Interface for Improving Attention M Arvaneh, IH Robertson, TE Ward Frontiers in Human Neuroscience 12, 2018	43	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	37	2016
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	34	2011
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	33	2018
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	31	2014
# 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	30	2021
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	29	2019
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	27	2018
Familiarity affects entrainment of EEG in music listening Y Kumagai, M Arvaneh, T Tanaka Frontiers in human neuroscience 11, 384, 2017	24	2017
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	23	2012
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	20	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	19	2019
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	18	2016
Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation M Arvaneh, C Guan, KK Ang, C Quek 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012	17	2012
Signal processing and machine learning for brain-machine interfaces T Tanaka, M Arvaneh Institution of Engineering and Technology, 2018	16	2018

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