Farid Saberi Movahed

According to our database, Farid Saberi Movahed authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis.

Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati

Trans. Mach. Learn. Res., 2024

On applying deflation and flexible preconditioning to the adaptive Simpler GMRES method for Sylvester tensor equations.

Azita Tajaddini, Farid Saberi-Movahed, Xian-Ming Gu, Mohammed Heyouni

J. Frankl. Inst., 2024

Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation.

Farid Saberi-Movahed, Bitasta Biswas, Prayag Tiwari, Jens Lehmann, Sahar Vahdati

Expert Syst. Appl., 2024

Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization.

Mahsa Samareh Jahani, Farid Saberi-Movahed, Mahdi Eftekhari, Gholamreza Aghamollaei, Prayag Tiwari

Expert Syst. Appl., 2024

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey.

Farid Saberi-Movahed, Kamal Berahmand, Razieh Sheikhpour, Yuefeng Li, Shirui Pan

CoRR, 2024

2023

Unsupervised feature selection based on variance-covariance subspace distance.

Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati

Neural Networks, September, 2023

Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks.

Kamal Berahmand, Mehrnoush Mohammadi, Farid Saberi-Movahed, Yuefeng Li, Yue Xu

IEEE Trans. Netw. Sci. Eng., 2023

Unsupervised feature selection guided by orthogonal representation of feature space.

Mahsa Samareh Jahani, Gholamreza Aghamollaei, Mahdi Eftekhari, Farid Saberi-Movahed

Neurocomputing, 2023

Deep Metric Learning with Soft Orthogonal Proxies.

Farshad Saberi-Movahed, Mohammad Kazem Ebrahimpour, Farid Saberi-Movahed, Monireh Moshavash, Dorsa Rahmatian, Mahvash Mohazzebi, Mahdi Shariatzadeh, Mahdi Eftekhari

CoRR, 2023

2022

How Fuzzy Concepts Contribute to Machine Learning

Mahdi Eftekhari, Adel Mehrpooya, Farid Saberi-Movahed, Vicenç Torra

Studies in Fuzziness and Soft Computing 416, Springer, ISBN: 978-3-030-94065-2, 2022

Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection.

Farid Saberi-Movahed, Mehrdad Rostami, Kamal Berahmand, Saeed Karami, Prayag Tiwari, Mourad Oussalah, Shahab S. Band

Knowl. Based Syst., 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, Elnaz Farbod, Farinaz Safavi, Mohammadreza Dorvash, Negar Mottaghi-Dastjerdi, Shahrzad Vahedi, Mahdi Eftekhari, Farid Saberi-Movahed, Hamid Alinejad-Rokny, Shahab S. Band, Iman Tavassoly

Comput. Biol. Medicine, 2022

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

2021

On restarted and deflated block FOM and GMRES methods for sequences of shifted linear systems.

Lakhdar Elbouyahyaoui, Mohammed Heyouni, Azita Tajaddini, Farid Saberi Movahed

Numer. Algorithms, 2021

Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation.

Mahla Mokhtia, Mahdi Eftekhari, Farid Saberi Movahed

Knowl. Based Syst., 2021

Two New Variants of the Simpler Block GMRES Method with Vector Deflation and Eigenvalue Deflation for Multiple Linear Systems.

Azita Tajaddini, Gang Wu, Farid Saberi Movahed, Najmeh Azizi Zadeh

J. Sci. Comput., 2021

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

2020

Supervised feature selection by constituting a basis for the original space of features and matrix factorization.

Farid Saberi Movahed, Mahdi Eftekhari, Mohammad Mohtashami

Int. J. Mach. Learn. Cybern., 2020

A tensor format for the generalized Hessenberg method for solving Sylvester tensor equations.

Mohammed Heyouni, Farid Saberi Movahed, Azita Tajaddini

J. Comput. Appl. Math., 2020

Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation.

Mahla Mokhtia, Mahdi Eftekhari, Farid Saberi Movahed

Appl. Soft Comput., 2020

2019

On global Hessenberg based methods for solving Sylvester matrix equations.

Mohammed Heyouni, Farid Saberi Movahed, Azita Tajaddini

Comput. Math. Appl., 2019

2016

On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations.

Fatemeh Panjeh Ali Beik, Farid Saberi Movahed, Salman Ahmadi-Asl

Numer. Linear Algebra Appl., 2016