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Maliheh Sabeti
Maliheh Sabeti
Assistant Professor of Computer Engineering, North Tehran Branch, Islamic Azad University
Verified email at shirazu.ac.ir
Title
Cited by
Cited by
Year
Entropy and complexity measures for EEG signal classification of schizophrenic and control participants
M Sabeti, S Katebi, R Boostani
Artificial intelligence in medicine 47 (3), 263-274, 2009
3382009
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm
E Parvinnia, M Sabeti, MZ Jahromi, R Boostani
Journal of King Saud University-Computer and Information Sciences 26 (1), 1-6, 2014
1492014
An efficient classifier to diagnose of schizophrenia based on the EEG signals
R Boostani, K Sadatnezhad, M Sabeti
Expert Systems with Applications 36 (3), 6492-6499, 2009
1392009
A new approach for EEG signal classification of schizophrenic and control participants
M Sabeti, SD Katebi, R Boostani, GW Price
Expert Systems with Applications 38 (3), 2063-2071, 2011
1112011
Selection of relevant features for EEG signal classification of schizophrenic patients
M Sabeti, R Boostani, SD Katebi, GW Price
Biomedical Signal Processing and Control 2 (2), 122-134, 2007
1052007
A multi-resolution approach to localize neural sources of P300 event-related brain potential
M Sabeti, SD Katebi, K Rastgar, Z Azimifar
Computer methods and programs in biomedicine 133, 155-168, 2016
402016
Analysis of neural sources of p300 event-related potential in normal and schizophrenic participants
M Sabeti, E Moradi, S Katebi
Software Tools and Algorithms for Biological Systems, 589-597, 2011
262011
Improved particle swarm optimisation to estimate bone age
M Sabeti, R Boostani, B Davoodi
IET Image Processing 12 (2), 179-187, 2018
232018
How mental fatigue affects the neural sources of P300 component?
M Sabeti, R Boostani, K Rastgar
Journal of Integrative Neuroscience 17 (1), 93-111, 2018
192018
Usefulness of approximate entropy in the diagnosis of schizophrenia
M Taghavi, R Boostani, M Sabeti, SMA Taghavi
Iranian Journal of Psychiatry and Behavioral Sciences 5 (2), 62, 2011
182011
Feature selection and mapping of local binary pattern for texture classification
MH Shakoor, R Boostani, M Sabeti, M Mohammadi
Multimedia Tools and Applications 82 (5), 7639-7676, 2023
172023
Analysing complexity, variability and spectral measures of schizophrenic EEG signal
M Sabeti, R Behroozi, E Moradi
International Journal of Biomedical Engineering and Technology 21 (2), 109-127, 2016
172016
Event related potential (ERP) as a reliable biometric indicator: A comparative approach
M Sabeti, R Boostani, E Moradi
Array 6, 100026, 2020
162020
Optimising brain map for the diagnosis of schizophrenia
R Boostani, M Sabeti
International Journal of Biomedical Engineering and Technology 28 (2), 105-119, 2018
152018
Source localization algorithms to find attention and memory circuits in the brain
M Sabeti, SD Katebi, K Rastgar
Journal of King Saud University-Computer and Information Sciences 27 (3 …, 2015
152015
Using genetic programming to select the informative EEG-based features to distinguish schizophrenic patients
M Sabeti, R Boostani, T Zoughi
Neural Network World 22 (1), 3, 2012
132012
Machine learning-based identification of craniosynostosis in newborns
M Sabeti, R Boostani, E Moradi, MH Shakoor
Machine Learning with Applications 8, 100292, 2022
122022
A New approach to classify the schizophrenic and normal subjects by finding the best channels and frequency bands
M Sabeti, R Boostani, SD Katebi
2007 15th International Conference on Digital Signal Processing, 123-126, 2007
122007
EEG signal classification using an association rule-based classifier
M Sabeti, MH Sadreddini, JT Nezhad
2007 IEEE International Conference on Signal Processing and Communications …, 2007
112007
ECG-based personal identification using empirical mode decomposition and Hilbert transform
R Boostani, M Sabeti, S Omranian, S Kouchaki
Iranian Journal of Science and Technology, Transactions of Electrical …, 2019
92019
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