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Publication date Communities Collections Article title Author(s) Journal/Conference
21 Apr 2022 SERC Institute for Infocomm Research A Transfer Learning Algorithm to Reduce Brain-Computer Interface Calibration Time for Long-Term Users Joshua Giles, Kai Keng Ang, Kok Soon Phua, Mahnaz Arvaneh Frontiers in Neuroergonomics
8 Oct 2021 SERC Institute for Infocomm Research Comparing the Performance of Contralesional and Ipsilesional brain-computer interface in stroke survivors Salem Mansour, Joshua Giles, Kai Keng Ang, Krishnan P.S. Nair, Kok Soon Phua, Mahnaz Arvaneh Neuroergonomics Conference (NEC)
29 Apr 2021 SERC Institute for Infocomm Research 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 Controlled Trials Salem Mansour, Kai Keng Ang, Krishnan P.S. Nair, Kok Soon Phua, Mahnaz Arvaneh Clinical EEG and Neuroscience
1 Jul 2019 SERC Institute for Infocomm Research Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface Ahmed M. Azab, Lyudmila Mihaylova, Kai Keng Ang, Mahnaz Arvaneh IEEE Transactions on Neural Systems and Rehabilitation Engineering
1 Aug 2013 SERC Institute for Infocomm Research EEG Data Space Adaptation to Reduce Inter-session Non-stationarity in Brain-Computer Interface (Pending publish) Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek Neural Computation
1 Apr 2013 SERC Institute for Infocomm Research Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Quek Chai IEEE Transactions on Neural Networks and Learning Systems