Mahnaz Arvaneh

Orcid: 0000-0002-5124-3497

According to our database1, Mahnaz Arvaneh authored at least 42 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Transfer Learning Approach for UAV Path Design With Connectivity Outage Constraint.
IEEE Internet Things J., 2023

Analysing and Modelling Human Trust to a Navigation Robot.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Predicting Outcomes of Cognitive Behavioral Therapy for Depression Using Data Driven Approaches.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography.
Proceedings of the 25th International Conference on Information Fusion, 2022

Electrophysiological Correlates of Response Time in a Vigilant Attention Task.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020
A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Four-Way Classification of EEG Responses To Virtual Robot Navigation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Using Resting State Heart Rate Variability and Skin Conductance Response to Detect Depression in Adults.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Improving EEG-based error detection using relative peak features.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes.
IEEE Trans. Veh. Technol., 2019

A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface.
Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Prefrontal Modulation of Visual Processing and Sustained Attention in Aging, a tDCS-EEG Coregistration Approach.
J. Cogn. Neurosci., 2018

Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Examining Temporal Variations in Recognizing Unspoken Words Using EEG Signals.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes.
Proceedings of the 21st International Conference on Information Fusion, 2018

Single-Trial EEG Classification of Similar Errors.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Data Space Adaptation for Multiclass Motor Imagery-based BCI.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement.
Neural Comput. Appl., 2017

A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Facial expression classification using EEG and gyroscope signals.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Classification of familiarity based on cross-correlation features between EEG and music.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Entropy-based EEG time interval selection for improving motor imagery classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Predicting risk of suicide using resting state heart rate.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

Brain-computer interface technology for speech recognition: A review.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015
Effects of feedback latency on P300-based brain-computer interface.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Filter bank common spatial patterns in mental workload estimation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Advanced brain computer interface
PhD thesis, 2014

Mutual information-based optimization of sparse spatio-spectral filters in brain-computer interface.
Neural Comput. Appl., 2014

Audio signal analysis in combination with noncontact bio-motion data to successfully monitor snoring.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface.
IEEE Trans. Neural Networks Learn. Syst., 2013

EEG Data Space Adaptation to Reduce Intersession Nonstationarity in Brain-Computer Interface.
Neural Comput., 2013

2012
Robust EEG channel selection across sessions in brain-computer interface involving stroke patients.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI.
IEEE Trans. Biomed. Eng., 2011

Spatially sparsed Common Spatial Pattern to improve BCI performance.
Proceedings of the IEEE International Conference on Acoustics, 2011


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