Spatially sparsed Common Spatial Pattern to improve BCI performance. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Hiok Chai Quek (ICASSP, 2011)

Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (IEEE Trans. Biomed. Eng., 2011)

Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (EMBC, 2012)

Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (ICASSP, 2012)

Robust EEG channel selection across sessions in brain-computer interface involving stroke patients. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (IJCNN, 2012)

EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (Neural Comput., 2013)

Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (IEEE Trans. Neural Networks Learn. Syst., 2013)

Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface. - Mahnaz Arvaneh; Ian H. Robertson; Tomás E. Ward (EMBC, 2014)

Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring. - David Flanagan; Mahnaz Arvaneh; Alberto Zaffaroni (EMBC, 2014)

Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek (Neural Comput. Appl., 2014)

Advanced brain computer interface - Mahnaz Arvaneh (2014)

Filter bank common spatial patterns in mental workload estimation. - Mahnaz Arvaneh; Alberto Umilta; Ian H. Robertson (EMBC, 2015)

Effects of feedback latency on P300-based brain-computer interface. - Mahnaz Arvaneh; Tomás E. Ward; Ian H. Robertson (EMBC, 2015)

Brain-computer interface technology for speech recognition: A review. - Mashael M. AlSaleh; Mahnaz Arvaneh; Heidi Christensen; Roger K. Moore (APSIPA, 2016)

Predicting risk of suicide using resting state heart rate. - Daud Sikander; Mahnaz Arvaneh; Francesco Amico; Graham Healy; Tomás E. Ward; Damien Kearney; Eva Mohedano; Jennifer Fagan; John Yek; Alan F. Smeaton; Justin Brophy (APSIPA, 2016)

Entropy-based EEG time interval selection for improving motor imagery classification. - Rahim Soleymanpour; Mahnaz Arvaneh (SMC, 2016)

Classification of familiarity based on cross-correlation features between EEG and music. - Yuiko Kumagai; Mahnaz Arvaneh; Haruki Okawa; Tomoya Wada; Toshihisa Tanaka 001 (EMBC, 2017)

Facial expression classification using EEG and gyroscope signals. - Jake Toth; Mahnaz Arvaneh (EMBC, 2017)

A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods. - Waqas Aftab; Allan De Freitas; Mahnaz Arvaneh; Lyudmila Mihaylova (DSP, 2017)

Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement. - Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Tomás E. Ward; Karen Sui Geok Chua; Christopher Wee Keong Kuah; Gopal Joseph Ephraim Joseph; Kok Soon Phua; Chuanchu Wang (Neural Comput. Appl., 2017)

Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG. - Mashael M. AlSaleh; Roger K. Moore; Heidi Christensen; Mahnaz Arvaneh (EMBC, 2018)

Data Space Adaptation for Multiclass Motor Imagery-based BCI. - Joshua Giles; Kai Keng Ang; Lyudmila Mihaylova; Mahnaz Arvaneh (EMBC, 2018)

Single-Trial EEG Classification of Similar Errors. - Christopher Wirth; Eric Lacey; Paul M. Dockree; Mahnaz Arvaneh (EMBC, 2018)

A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. - Waqas Aftab; Allan De Freitas; Mahnaz Arvaneh; Lyudmila Mihaylova (FUSION, 2018)

Examining Temporal Variations in Recognizing Unspoken Words Using EEG Signals. - Mashael M. AlSaleh; Roger K. Moore; Heidi Christensen; Mahnaz Arvaneh (SMC, 2018)

Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. - Mahnaz Arvaneh; Lyudmila Mihaylova; Ahmed M. Azab (SMC, 2018)

Prefrontal Modulation of Visual Processing and Sustained Attention in Aging, a tDCS-EEG Coregistration Approach. - Méadhbh B. Brosnan; Mahnaz Arvaneh; Siobhán Harty; Tara Maguire; Redmond G. O'Connell; Ian H. Robertson; Paul M. Dockree (J. Cogn. Neurosci., 2018)

A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. - Adrian L. Ashley; Mahnaz Arvaneh; Lyudmila S. Mihaylova (ICASSP, 2019)

Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. - Ahmed M. Azab; Lyudmila Mihaylova; Hamed Ahmadi; Mahnaz Arvaneh (ICASSP, 2019)

A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. - Joshua Giles; Kai Keng Ang; Lyudmila S. Mihaylova; Mahnaz Arvaneh (ICASSP, 2019)

Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. - Waqas Aftab; Roland Hostettler; Allan De Freitas; Mahnaz Arvaneh; Lyudmila Mihaylova (IEEE Trans. Veh. Technol., 2019)

Improving EEG-based error detection using relative peak features. - Adrian L. Ashley; Mahnaz Arvaneh (EMBC, 2020)

Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. - Joshua Giles; Kai Keng Ang; Lyudmila Mihaylova; Mahnaz Arvaneh (EMBC, 2020)

Using Resting State Heart Rate Variability and Skin Conductance Response to Detect Depression in Adults. - Lukasz Tyszczuk Smith; Liat Levita; Francesco Amico; Jennifer Fagan; John Yek; Justin Brophy; Haihong Zhang; Mahnaz Arvaneh (EMBC, 2020)

Four-Way Classification of EEG Responses To Virtual Robot Navigation. - Christopher Wirth; Jake Toth; Mahnaz Arvaneh (EMBC, 2020)

A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data. - Zhenglin Li; Mahnaz Arvaneh; Heather E. Elphick; Ruth N. Kingshott; Lyudmila S. Mihaylova (FUSION, 2020)

Electrophysiological Correlates of Response Time in a Vigilant Attention Task. - Jake Toth; Ricken Patel; Mahnaz Arvaneh (EMBC, 2022)

Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. - Navin Cooray; Zhenglin Li; Jinzhuo Wang; Christine Lo; Mahnaz Arvaneh; Mkael Symmonds; Michele T. M. Hu; Maarten De Vos; Lyudmila S. Mihaylova (FUSION, 2022)

Predicting Outcomes of Cognitive Behavioral Therapy for Depression Using Data Driven Approaches. - Lily Tyszczuk; Liat Levita; Jaime Delgadillo; Haihong Zhang; Mahnaz Arvaneh (APSIPA ASC, 2023)

Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization. - Mohamed A A Mohamed; Salem Mansour; Payam Soulatiantork; Kai Keng Ang; Kok Soon Phua; Mahnaz Arvaneh (MetroXRAINE, 2023)

Analysing and Modelling Human Trust to a Navigation Robot. - Happy Chidi Onyeoru; Christopher Wirth; Joshua Giles; Mahnaz Arvaneh (MetroXRAINE, 2023)

A Transfer Learning Approach for UAV Path Design With Connectivity Outage Constraint. - Gianluca Fontanesi; Anding Zhu; Mahnaz Arvaneh; Hamed Ahmadi (IEEE Internet Things J., 2023)

Improving Motor Imagery-Based Brain-Computer Interfaces with Simple EEG Data Augmentation Algorithms: A Comparative Analysis. - Sourojit Goswami; Jacob Phelan; Sean Anderson; Mahnaz Arvaneh (MetroXRAINE, 2024)

Optimized Spatial Filter Selection for Transfer Learning in Brain-Computer Interface. - Mohamed A A Mohamed; Joshua Giles; Mahnaz Arvaneh (MetroXRAINE, 2024)