Mahnaz Arvaneh

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 30

Top Topics

Gaussian Process

Top Venues

Publications

Mohamed A A Mohamed, Salem Mansour, Payam Soulatiantork, Kai Keng Ang, Kok Soon Phua, Mahnaz Arvaneh
Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization. MetroXRAINE (2023)
Gianluca Fontanesi, Anding Zhu, Mahnaz Arvaneh, Hamed Ahmadi
A Transfer Learning Approach for UAV Path Design With Connectivity Outage Constraint. IEEE Internet Things J. 10 (6, March 15) (2023)
Lily Tyszczuk, Liat Levita, Jaime Delgadillo, Haihong Zhang, Mahnaz Arvaneh
Predicting Outcomes of Cognitive Behavioral Therapy for Depression Using Data Driven Approaches. APSIPA ASC (2023)
Happy Chidi Onyeoru, Christopher Wirth, Joshua Giles, Mahnaz Arvaneh
Analysing and Modelling Human Trust to a Navigation Robot. MetroXRAINE (2023)
Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. FUSION (2022)
Jake Toth, Ricken Patel, Mahnaz Arvaneh
Electrophysiological Correlates of Response Time in a Vigilant Attention Task. EMBC (2022)
Gianluca Fontanesi, Anding Zhu, Mahnaz Arvaneh, Hamed Ahmadi
A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint. CoRR (2022)
Lukasz Tyszczuk Smith, Liat Levita, Francesco Amico, Jennifer Fagan, John Yek, Justin Brophy, Haihong Zhang, Mahnaz Arvaneh
Using Resting State Heart Rate Variability and Skin Conductance Response to Detect Depression in Adults. EMBC (2020)
Zhenglin Li, Mahnaz Arvaneh, Heather E. Elphick, Ruth N. Kingshott, Lyudmila S. Mihaylova
A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data. FUSION (2020)
Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. EMBC (2020)
Adrian L. Ashley, Mahnaz Arvaneh
Improving EEG-based error detection using relative peak features. EMBC (2020)
Christopher Wirth, Jake Toth, Mahnaz Arvaneh
Four-Way Classification of EEG Responses To Virtual Robot Navigation. EMBC (2020)
Joshua Giles, Kai Keng Ang, Lyudmila S. Mihaylova, Mahnaz Arvaneh
A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. ICASSP (2019)
Ahmed M. Azab, Lyudmila Mihaylova, Hamed Ahmadi, Mahnaz Arvaneh
Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. ICASSP (2019)
Waqas Aftab, Roland Hostettler, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. 68 (3) (2019)
Adrian L. Ashley, Mahnaz Arvaneh, Lyudmila S. Mihaylova
A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. ICASSP (2019)
Mashael M. AlSaleh, Roger K. Moore, Heidi Christensen, Mahnaz Arvaneh
Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG. EMBC (2018)
Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. FUSION (2018)
Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab
Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. SMC (2018)
Mashael M. AlSaleh, Roger K. Moore, Heidi Christensen, Mahnaz Arvaneh
Examining Temporal Variations in Recognizing Unspoken Words Using EEG Signals. SMC (2018)
Christopher Wirth, Eric Lacey, Paul M. Dockree, Mahnaz Arvaneh
Single-Trial EEG Classification of Similar Errors. EMBC (2018)
Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh
Data Space Adaptation for Multiclass Motor Imagery-based BCI. EMBC (2018)
Méadhbh B. Brosnan, Mahnaz Arvaneh, Siobhán Harty, Tara Maguire, Redmond G. O'Connell, Ian H. Robertson, Paul M. Dockree
Prefrontal Modulation of Visual Processing and Sustained Attention in Aging, a tDCS-EEG Coregistration Approach. J. Cogn. Neurosci. 30 (11) (2018)
Jake Toth, Mahnaz Arvaneh
Facial expression classification using EEG and gyroscope signals. EMBC (2017)
Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova
A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods. DSP (2017)
Yuiko Kumagai, Mahnaz Arvaneh, Haruki Okawa, Tomoya Wada, Toshihisa Tanaka
Classification of familiarity based on cross-correlation features between EEG and music. EMBC (2017)
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
Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement. Neural Comput. Appl. 28 (11) (2017)
Rahim Soleymanpour, Mahnaz Arvaneh
Entropy-based EEG time interval selection for improving motor imagery classification. SMC (2016)
Daud Sikander, Mahnaz Arvaneh, Francesco Amico, Graham Healy, Tomás E. Ward, Damien Kearney, Eva Mohedano, Jennifer Fagan, John Yek, Alan F. Smeaton, Justin Brophy
Predicting risk of suicide using resting state heart rate. APSIPA (2016)
Mashael M. AlSaleh, Mahnaz Arvaneh, Heidi Christensen, Roger K. Moore
Brain-computer interface technology for speech recognition: A review. APSIPA (2016)
Mahnaz Arvaneh, Tomás E. Ward, Ian H. Robertson
Effects of feedback latency on P300-based brain-computer interface. EMBC (2015)
Mahnaz Arvaneh, Alberto Umilta, Ian H. Robertson
Filter bank common spatial patterns in mental workload estimation. EMBC (2015)
Mahnaz Arvaneh, Alberto Umilta, Ian H. Robertson
Filter Bank Common Spatial Patterns in Mental Workload Estimation. CoRR (2015)
Mahnaz Arvaneh, Tomás E. Ward, Ian H. Robertson
Effects of Feedback Latency on P300-based Brain-computer Interface. CoRR (2015)
Mahnaz Arvaneh, Ian H. Robertson, Tomás E. Ward
Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface. EMBC (2014)
David Flanagan, Mahnaz Arvaneh, Alberto Zaffaroni
Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring. EMBC (2014)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface. Neural Comput. Appl. 25 (3-4) (2014)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface. Neural Comput. 25 (8) (2013)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 24 (4) (2013)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation. EMBC (2012)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface. ICASSP (2012)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
Robust EEG channel selection across sessions in brain-computer interface involving stroke patients. IJCNN (2012)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Chai Quek
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI. IEEE Trans. Biomed. Eng. 58 (6) (2011)
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Hiok Chai Quek
Spatially sparsed Common Spatial Pattern to improve BCI performance. ICASSP (2011)