Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers. - Mohammad Rezaei-Ravari; Mahdi Eftekhari; Farid Saberi Movahed (Eng. Appl. Artif. Intell., 2021)

High dimensionality reduction by matrix factorization for systems pharmacology. - Adel Mehrpooya; Farid Saberi Movahed; Najmeh Azizi Zadeh; Mohammad Rezaei-Ravari; Farshad Saberi-Movahed; Mahdi Eftekhari; Iman Tavassoly (Briefings Bioinform., 2022)

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. - Farshad Saberi-Movahed; Mahyar Mohammadifard; Adel Mehrpooya; Mohammad Rezaei-Ravari; Kamal Berahmand; Mehrdad Rostami; Saeed Karami; Mohammad Najafzadeh; Davood Hajinezhad; Mina Jamshidi; Farshid Abedi; Mahtab Mohammadifard; et al. (Comput. Biol. Medicine, 2022)

A novel framework based on the multi-label classification for dynamic selection of classifiers. - Javad Elmi; Mahdi Eftekhari; Adel Mehrpooya; Mohammad Rezaei-Ravari (Int. J. Mach. Learn. Cybern., 2023)