Malihe Sabeti

Orcid: 0000-0002-8096-8817

According to our database1, Malihe Sabeti authored at least 22 papers between 2005 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm.
Int. J. Comput. Intell. Syst., December, 2024

Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets.
Intell. Data Anal., 2024

2023
A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition.
J. Supercomput., December, 2023

Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease.
IET Image Process., April, 2023

Correction to: Feature selection and mapping of local binary pattern for texture classification.
Multim. Tools Appl., February, 2023

Feature selection and mapping of local binary pattern for texture classification.
Multim. Tools Appl., February, 2023

An efficient deep multi-task learning structure for covid-19 disease.
IET Image Process., 2023

2022
ORBoost: An Orthogonal AdaBoost.
Intell. Data Anal., 2022

2020
Event related potential (ERP) as a reliable biometric indicator: A comparative approach.
Array, 2020

2018
Improved particle swarm optimisation to estimate bone age.
IET Image Process., 2018

2017
Separation of P300 event-related potential using time varying time-lag blind source separation algorithm.
Comput. Methods Programs Biomed., 2017

2016
A multi-resolution approach to localize neural sources of P300 event-related brain potential.
Comput. Methods Programs Biomed., 2016

2015
Source localization algorithms to find attention and memory circuits in the brain.
J. King Saud Univ. Comput. Inf. Sci., 2015

2014
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm.
J. King Saud Univ. Comput. Inf. Sci., 2014

2012
Complexity Measure as a Feature to Classify Schizophrenic and Healthy Participants.
Proceedings of the 14th International Conference on Computer Modelling and Simulation, 2012

2011
A new approach for EEG signal classification of schizophrenic and control participants.
Expert Syst. Appl., 2011

2009
An efficient classifier to diagnose of schizophrenia based on the EEG signals.
Expert Syst. Appl., 2009

Entropy and complexity measures for EEG signal classification of schizophrenic and control participants.
Artif. Intell. Medicine, 2009

2007
Selection of relevant features for EEG signal classification of schizophrenic patients.
Biomed. Signal Process. Control., 2007

A New Approach to Classify the Schizophrenic and Normal Subjects by Finding the Best Channels and Frequency Bands.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2005
Fuzzy Classifier System for Classification Task.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005


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