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Mahnaz Arvaneh
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2020 – today
- 2023
- [j8]Gianluca Fontanesi
, Anding Zhu
A Transfer Learning Approach for UAV Path Design With Connectivity Outage Constraint. IEEE Internet Things J. 10(6, March 15): 4998-5012 (2023) - [c33]Lily Tyszczuk, Liat Levita, Jaime Delgadillo
Predicting Outcomes of Cognitive Behavioral Therapy for Depression Using Data Driven Approaches. APSIPA ASC 2023: 336-343 - [c32]Happy Chidi Onyeoru, Christopher Wirth, Joshua Giles, Mahnaz Arvaneh:
Analysing and Modelling Human Trust to a Navigation Robot. MetroXRAINE 2023: 658-663 - [c31]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: 1027-1032 - 2022
- [c30]Jake Toth
Electrophysiological Correlates of Response Time in a Vigilant Attention Task. EMBC 2022: 2340-2343 - [c29]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: 1-8 - [i3]Gianluca Fontanesi, Anding Zhu, Mahnaz Arvaneh, Hamed Ahmadi:
A Transfer Learning Approach for UAV Path Design with Connectivity Outage Constraint. CoRR abs/2211.03696 (2022) - 2020
- [c28]Adrian L. Ashley, Mahnaz Arvaneh:
Improving EEG-based error detection using relative peak features. EMBC 2020: 272-275 - [c27]Joshua Giles, Kai Keng Ang
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. EMBC 2020: 2977-2980 - [c26]Christopher Wirth
Four-Way Classification of EEG Responses To Virtual Robot Navigation. EMBC 2020: 3050-3053 - [c25]Lukasz Tyszczuk Smith, Liat Levita
Using Resting State Heart Rate Variability and Skin Conductance Response to Detect Depression in Adults. EMBC 2020: 5004-5007 - [c24]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: 1-8
2010 – 2019
- 2019
- [j7]Waqas Aftab
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. 68(3): 2137-2151 (2019) - [c23]Adrian L. Ashley, Mahnaz Arvaneh, Lyudmila S. Mihaylova:
A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. ICASSP 2019: 1150-1153 - [c22]Joshua Giles, Kai Keng Ang
A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. ICASSP 2019: 3087-3091 - [c21]Ahmed M. Azab
Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. ICASSP 2019: 3897-3901 - 2018
- [j6]Méadhbh B. Brosnan
Prefrontal Modulation of Visual Processing and Sustained Attention in Aging, a tDCS-EEG Coregistration Approach. J. Cogn. Neurosci. 30(11) (2018) - [c20]Christopher Wirth
Single-Trial EEG Classification of Similar Errors. EMBC 2018: 1919-1922 - [c19]Mashael M. AlSaleh, Roger K. Moore
Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG. EMBC 2018: 1952-1955 - [c18]Joshua Giles, Kai Keng Ang
Data Space Adaptation for Multiclass Motor Imagery-based BCI. EMBC 2018: 2004-2007 - [c17]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: 1-8 - [c16]Mashael M. AlSaleh, Roger K. Moore
Examining Temporal Variations in Recognizing Unspoken Words Using EEG Signals. SMC 2018: 976-981 - [c15]Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab
Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. SMC 2018: 1093-1098 - 2017
- [j5]Mahnaz Arvaneh
Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement. Neural Comput. Appl. 28(11): 3259-3272 (2017) - [c14]Jake Toth
Facial expression classification using EEG and gyroscope signals. EMBC 2017: 1018-1021 - [c13]Yuiko Kumagai, Mahnaz Arvaneh
Classification of familiarity based on cross-correlation features between EEG and music. EMBC 2017: 2879-2882 - [c12]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: 1-5 - 2016
- [c11]Mashael M. AlSaleh, Mahnaz Arvaneh
Brain-computer interface technology for speech recognition: A review. APSIPA 2016: 1-5 - [c10]Daud Sikander, Mahnaz Arvaneh
Predicting risk of suicide using resting state heart rate. APSIPA 2016: 1-4 - [c9]Rahim Soleymanpour, Mahnaz Arvaneh
Entropy-based EEG time interval selection for improving motor imagery classification. SMC 2016: 4034-4039 - 2015
- [c8]Mahnaz Arvaneh
Effects of feedback latency on P300-based brain-computer interface. EMBC 2015: 2315-2318 - [c7]Mahnaz Arvaneh
Filter bank common spatial patterns in mental workload estimation. EMBC 2015: 4749-4752 - [i2]Mahnaz Arvaneh, Tomás E. Ward, Ian H. Robertson:
Effects of Feedback Latency on P300-based Brain-computer Interface. CoRR abs/1510.07262 (2015) - [i1]Mahnaz Arvaneh, Alberto Umilta, Ian H. Robertson:
Filter Bank Common Spatial Patterns in Mental Workload Estimation. CoRR abs/1510.07263 (2015) - 2014
- [b1]Mahnaz Arvaneh:
Advanced brain computer interface. Nanyang Technological University, Singapore, 2014 - [j4]Mahnaz Arvaneh
Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface. Neural Comput. Appl. 25(3-4): 625-634 (2014) - [c6]David Flanagan, Mahnaz Arvaneh
Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring. EMBC 2014: 3763-3766 - [c5]Mahnaz Arvaneh
Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface. EMBC 2014: 6501-6504 - 2013
- [j3]Mahnaz Arvaneh
EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface. Neural Comput. 25(8): 2146-2171 (2013) - [j2]Mahnaz Arvaneh
Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface. IEEE Trans. Neural Networks Learn. Syst. 24(4): 610-619 (2013) - 2012
- [c4]Mahnaz Arvaneh
Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation. EMBC 2012: 4124-4127 - [c3]Mahnaz Arvaneh
Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface. ICASSP 2012: 2541-2544 - [c2]Mahnaz Arvaneh
Robust EEG channel selection across sessions in brain-computer interface involving stroke patients. IJCNN 2012: 1-6 - 2011
- [j1]Mahnaz Arvaneh
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI. IEEE Trans. Biomed. Eng. 58(6): 1865-1873 (2011) - [c1]Mahnaz Arvaneh
Spatially sparsed Common Spatial Pattern to improve BCI performance. ICASSP 2011: 2412-2415
Coauthor Index
aka: Lyudmila S. Mihaylova
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