Fuzzy Classifier System for Classification Task. - Malihe Sabeti; Seraj D. Katebi (Artificial Intelligence and Applications, 2005)

A New Approach to Classify the Schizophrenic and Normal Subjects by Finding the Best Channels and Frequency Bands. - Malihe Sabeti; Reza Boostani; Seraj D. Katebi (DSP, 2007)

Selection of relevant features for EEG signal classification of schizophrenic patients. - Malihe Sabeti; Reza Boostani; Seraj D. Katebi; G. W. Price (Biomed. Signal Process. Control., 2007)

Entropy and complexity measures for EEG signal classification of schizophrenic and control participants. - Malihe Sabeti; Serajeddin Katebi; Reza Boostani (Artif. Intell. Medicine, 2009)

An efficient classifier to diagnose of schizophrenia based on the EEG signals. - Reza Boostani; Khadijeh Sadatnezhad; Malihe Sabeti (Expert Syst. Appl., 2009)

A new approach for EEG signal classification of schizophrenic and control participants. - Malihe Sabeti; Seraj D. Katebi; Reza Boostani; G. W. Price (Expert Syst. Appl., 2011)

Complexity Measure as a Feature to Classify Schizophrenic and Healthy Participants. - Seraj D. Katebi; Malihe Sabeti (UKSim, 2012)

Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm. - Elham Parvinnia; Malihe Sabeti; Mansoor Zolghadri Jahromi; Reza Boostani (J. King Saud Univ. Comput. Inf. Sci., 2014)

Source localization algorithms to find attention and memory circuits in the brain. - Malihe Sabeti; Seraj D. Katebi; K. Rastgar (J. King Saud Univ. Comput. Inf. Sci., 2015)

A multi-resolution approach to localize neural sources of P300 event-related brain potential. - Malihe Sabeti; Seraj D. Katebi; K. Rastgar; Zohreh Azimifar (Comput. Methods Programs Biomed., 2016)

Separation of P300 event-related potential using time varying time-lag blind source separation algorithm. - Malihe Sabeti; Reza Boostani (Comput. Methods Programs Biomed., 2017)

Improved particle swarm optimisation to estimate bone age. - Malihe Sabeti; Reza Boostani; Bita Davoodi (IET Image Process., 2018)

Event related potential (ERP) as a reliable biometric indicator: A comparative approach. - Malihe Sabeti; Reza Boostani; E. Moradi (Array, 2020)

ORBoost: An Orthogonal AdaBoost. - Zohreh Bostanian; Reza Boostani; Malihe Sabeti; Mokhtar Mohammadi (Intell. Data Anal., 2022)

An efficient deep multi-task learning structure for covid-19 disease. - Shirin Kordnoori; Malihe Sabeti; Hamidreza Mostafaei; Saeed Seyed Agha Banihashemi (IET Image Process., 2023)

Feature selection and mapping of local binary pattern for texture classification. - Mohammad Hossein Shakoor; Reza Boostani; Malihe Sabeti; Mokhtar Mohammadi (Multim. Tools Appl., 2023)

Correction to: Feature selection and mapping of local binary pattern for texture classification. - Mohammad Hossein Shakoor; Reza Boostani; Malihe Sabeti; Mokhtar Mohammadi (Multim. Tools Appl., 2023)

Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease. - Shirin Kordnoori; Malihe Sabeti; Hamidreza Mostafaei; Saeed Seyed Agha Banihashemi (IET Image Process., 2023)

Predicting outcomes in kidney stone endoscopic surgery by rotation forest algorithm. - Shima Pooyesh; Saghar Foshati; Malihe Sabeti; Hamid Parvin; Alireza Aminsharifi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition. - Melika Hamian; Karim Faez; Soheila Nazari; Malihe Sabeti (J. Supercomput., 2023)

Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets. - Omid Ranjbar Pouya; Reza Boostani; Malihe Sabeti (Intell. Data Anal., 2024)

Advances in medical image analysis: A comprehensive survey of lung infection detection. - Shirin Kordnoori; Malihe Sabeti; Hamidreza Mostafaei; Saeed Seyed Agha Banihashemi (IET Image Process., 2024)

Cutting-edge multi-task model: unveiling COVID-19 through fusion of image processing algorithms. - Shirin Kordnoori; Malihe Sabeti; Hamidreza Mostafaei; Saeed Seyed Agha Banihashemi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm. - Melika Hamian; Karim Faez; Soheila Nazari; Malihe Sabeti (Int. J. Comput. Intell. Syst., 2024)

LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection. - Shirin Kordnoori; Malihe Sabeti; Hamidreza Mostafaei; Saeed Seyed Agha Banihashemi (Biomed. Signal Process. Control., 2025)