Tohid Yousefi Rezaii
Tohid Yousefi Rezaii
Associate Professor, Electrical and Computer Engineering, University of Tabriz
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Cited by
Cited by
Deep convolutional neural network for classification of sleep stages from single-channel EEG signals
Z Mousavi, TY Rezaii, S Sheykhivand, A Farzamnia, SN Razavi
Journal of neuroscience methods 324, 108312, 2019
ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework
TY Rezaii, S Beheshti, M Shamsi, S Eftekharifar
Biomedical Signal Processing and Control 41, 161-171, 2018
Steady-state tracking analysis of adaptive filter with maximum correntropy criterion
A Khalili, A Rastegarnia, MK Islam, TY Rezaii
Circuits, Systems, and Signal Processing 36 (4), 1725-1734, 2017
Distributed multi-target tracking using joint probabilistic data association and average consensus filter
T Yousefi Rezaii, MA Tinati
annals of telecommunications-annales des télécommunications 66 (9-10), 553-566, 2011
Cooperative and distributed algorithm for compressed sensing recovery in WSNs
G Azarnia, MA Tinati, TY Rezaii
IET Signal Processing 12 (3), 346-357, 2017
Multi-target tracking in wireless sensor networks using distributed joint probabilistic data association and average consensus filter
MA Tinati, T Yousefi Rezaii
Advanced Computer Control, 2009. ICACC'09. International Conference on, 51-56, 2009
Sleep stage scoring of single-channel EEG signal based on RUSBoost classifier
S Sheykhivand, TY Rezaii, A Farzamnia, M Vazifehkhahi
2018 IEEE International Conference on Artificial Intelligence in Engineering …, 2018
Sparsity aware consistent and high precision variable selection
T Yousefi Rezaii, MA Tinati, S Beheshti
Signal, Image and Video Processing, 1-12, 2012
A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities
S Asadzadeh, TY Rezaii, S Beheshti, A Delpak, S Meshgini
Journal of neuroscience methods, 108740, 2020
Transfer Learning based Motor Imagery Classification using Convolutional Neural Networks
M Parvan, AR Ghiasi, TY Rezaii, A Farzamnia
2019 27th Iranian Conference on Electrical Engineering (ICEE), 1825-1828, 2019
Block sparse signal recovery in compressed sensing: optimum active block selection and within-block sparsity order estimation
M Shamsi, TY Rezaii, MA Tinati, A Rastegarnia, A Khalili
Circuits, Systems, and Signal Processing 37 (4), 1649-1668, 2018
Comparison between different methods of feature extraction in BCI systems based on SSVEP
S Sheykhivand, TY Rezaii, AN Saatlo, N Romooz
International Journal of Industrial Mathematics 9 (4), 341-347, 2017
Energy-efficient data reconstruction algorithm for spatially-and temporally correlated data in wireless sensor networks
SN Adnani, MA Tinati, G Azarnia, TY Rezaii
IET Signal Processing 12 (8), 1053-1062, 2018
Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification
S Sheykhivand, TY Rezaii, Z Mousavi, A Delpak, A Farzamnia
IEEE Access 8, 138834-138845, 2020
Investigation of error performance in network coded MIMO-VBLAST wireless communication systems
A Farzamnia, NW Hlaing, LE Kong, MK Haldar, TY Rezaii
Journal of Electrical Engineering 70 (4), 273-284, 2019
Block sparse multi-lead ECG compression exploiting between-lead collaboration
S Eftekharifar, TY Rezaii, S Beheshti, S Daneshvar
IET Signal Processing 13 (1), 46-55, 2018
Automatic Stage Scoring of Single-Channel Sleep EEG using CEEMD of Genetic Algorithm and Neural Network
T Yousefi Rezaii, S Sheykhivand, Z Mousavi, S Meshini
Computational Intelligence in Electrical Engineering 9 (1), 15-28, 2018
Automatic Stage Scoring of Single-Channel Sleep EEG using CEEMD of Genetic Algorithm and Neural Network
S Sheykhivand, T Yousefi Rezaii, Z Mousavi, S Meshgini
Computational Intelligence in Electrical Engineering 9 (1), 15-28, 2018
Automatic eog and emg artifact removal method for sleep stage classification
AA Gharbali, JM Fonseca, S Najdi, TY Rezaii
Doctoral Conference on Computing, Electrical and Industrial Systems, 142-150, 2016
A New Framework for ECG Signal Modeling and Compression Based on Compressed Sensing Theory
S Eftekharifar, T Yousefi Rezaii, M Shamsi
17th International Conference on Information, Communications and Signal …, 2015
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