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Malihe Sabeti
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2020 – today
- 2025
- [j21]Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi:
LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection. Biomed. Signal Process. Control. 99: 106866 (2025) - 2024
- [j20]Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi:
Cutting-edge multi-task model: unveiling COVID-19 through fusion of image processing algorithms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12(1) (2024) - [j19]Omid Ranjbar Pouya, Reza Boostani, Malihe Sabeti:
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. 28(1): 357-376 (2024) - [j18]Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti:
A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm. Int. J. Comput. Intell. Syst. 17(1): 35 (2024) - 2023
- [j17]Shima Pooyesh, Saghar Foshati
, Malihe Sabeti
Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(4): 1397-1407 (2023) - [j16]Shirin Kordnoori
Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease. IET Image Process. 17(5): 1534-1545 (2023) - [j15]Shirin Kordnoori
An efficient deep multi-task learning structure for covid-19 disease. IET Image Process. 17(13): 3728-3745 (2023) - [j14]Mohammad Hossein Shakoor
Feature selection and mapping of local binary pattern for texture classification. Multim. Tools Appl. 82(5): 7639-7676 (2023) - [j13]Mohammad Hossein Shakoor
Correction to: Feature selection and mapping of local binary pattern for texture classification. Multim. Tools Appl. 82(5): 7677 (2023) - [j12]Melika Hamian, Karim Faez
A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition. J. Supercomput. 79(18): 20263-20288 (2023) - 2022
- [j11]Zohreh Bostanian, Reza Boostani, Malihe Sabeti, Mokhtar Mohammadi
ORBoost: An Orthogonal AdaBoost. Intell. Data Anal. 26(3): 805-818 (2022) - 2020
- [j10]Malihe Sabeti, Reza Boostani, E. Moradi:
Event related potential (ERP) as a reliable biometric indicator: A comparative approach. Array 6: 100026 (2020)
2010 – 2019
- 2018
- [j9]Malihe Sabeti
Improved particle swarm optimisation to estimate bone age. IET Image Process. 12(2): 179-187 (2018) - 2017
- [j8]Malihe Sabeti
Separation of P300 event-related potential using time varying time-lag blind source separation algorithm. Comput. Methods Programs Biomed. 145: 95-102 (2017) - 2016
- [j7]Malihe Sabeti
A multi-resolution approach to localize neural sources of P300 event-related brain potential. Comput. Methods Programs Biomed. 133: 155-168 (2016) - 2015
- [j6]Malihe Sabeti
Source localization algorithms to find attention and memory circuits in the brain. J. King Saud Univ. Comput. Inf. Sci. 27(3): 334-343 (2015) - 2014
- [j5]Elham Parvinnia, Malihe Sabeti
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm. J. King Saud Univ. Comput. Inf. Sci. 26(1): 1-6 (2014) - 2012
- [c3]Seraj D. Katebi, Malihe Sabeti
Complexity Measure as a Feature to Classify Schizophrenic and Healthy Participants. UKSim 2012: 377-382 - 2011
- [j4]Malihe Sabeti
A new approach for EEG signal classification of schizophrenic and control participants. Expert Syst. Appl. 38(3): 2063-2071 (2011)
2000 – 2009
- 2009
- [j3]Malihe Sabeti
Entropy and complexity measures for EEG signal classification of schizophrenic and control participants. Artif. Intell. Medicine 47(3): 263-274 (2009) - [j2]Reza Boostani
An efficient classifier to diagnose of schizophrenia based on the EEG signals. Expert Syst. Appl. 36(3): 6492-6499 (2009) - 2007
- [j1]Malihe Sabeti
Selection of relevant features for EEG signal classification of schizophrenic patients. Biomed. Signal Process. Control. 2(2): 122-134 (2007) - [c2]Malihe Sabeti
A New Approach to Classify the Schizophrenic and Normal Subjects by Finding the Best Channels and Frequency Bands. DSP 2007: 123-126 - 2005
- [c1]Malihe Sabeti, Seraj D. Katebi:
Fuzzy Classifier System for Classification Task. Artificial Intelligence and Applications 2005: 268-272
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