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ORCIDFarid Saberi Movahed
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Books and Theses
- 2022
[b1]Mahdi Eftekhari, Adel Mehrpooya
, Farid Saberi-Movahed, Vicenç Torra:
How Fuzzy Concepts Contribute to Machine Learning. Studies in Fuzziness and Soft Computing 416, Springer 2022, ISBN 978-3-030-94065-2, pp. 1-167
Journal Articles
- 2025
- [j23]Nadimeh Naseri, Mahdi Eftekhari, Farid Saberi-Movahed, Mehdi Radjabalipour, Lluis A. Belanche:
A similarity measure based on subspace distance for spectral clustering. Neurocomputing 620: 129187 (2025) - [j22]Hossein Nasser Assadi, Faranges Kyanfar, Farid Saberi-Movahed, Abbas Salemi:
Bilinear Self-Representation for Unsupervised Feature Selection with Structure Learning. Neurocomputing 625: 129557 (2025) - [j21]Razieh Sheikhpour, Mehrnoush Mohammadi, Kamal Berahmand, Farid Saberi-Movahed, Hassan Khosravi:
Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning. Inf. Sci. 699: 121800 (2025) - [j20]Yasin Hashemi-Nazari, Farid Saberi-Movahed, Azita Tajaddini, Catarina Moreira, Xin Ning, Prayag Tiwari:
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization. Mach. Learn. 114(7): 157 (2025) - 2024
- [j19]Mahsa Samareh Jahani, Farid Saberi-Movahed, Mahdi Eftekhari, Gholamreza Aghamollaei, Prayag Tiwari:
Low-Redundant Unsupervised Feature Selection based on Data Structure Learning and Feature Orthogonalization. Expert Syst. Appl. 240: 122556 (2024) - [j18]Farid Saberi-Movahed, Bitasta Biswas, Prayag Tiwari, Jens Lehmann, Sahar Vahdati:
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. Expert Syst. Appl. 249: 123645 (2024) - [j17]Azita Tajaddini, Farid Saberi-Movahed, Xian-Ming Gu, Mohammed Heyouni:
On applying deflation and flexible preconditioning to the adaptive Simpler GMRES method for Sylvester tensor equations. J. Frankl. Inst. 361(17): 107268 (2024) - [j16]Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati:
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j15]Mahsa Samareh Jahani, Gholamreza Aghamollaei, Mahdi Eftekhari, Farid Saberi-Movahed:
Unsupervised feature selection guided by orthogonal representation of feature space. Neurocomputing 516: 61-76 (2023) - [j14]Saeed Karami, Farid Saberi-Movahed, Prayag Tiwari, Pekka Marttinen, Sahar Vahdati:
Unsupervised feature selection based on variance-covariance subspace distance. Neural Networks 166: 188-203 (2023) - [j13]Kamal Berahmand, Mehrnoush Mohammadi, Farid Saberi-Movahed, Yuefeng Li, Yue Xu:
Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks. IEEE Trans. Netw. Sci. Eng. 10(1): 372-385 (2023) - 2022
- [j12]Adel Mehrpooya, Farid Saberi Movahed, Najmeh Azizi Zadeh, Mohammad Rezaei-Ravari, Farshad Saberi-Movahed, Mahdi Eftekhari, Iman Tavassoly:
High dimensionality reduction by matrix factorization for systems pharmacology. Briefings Bioinform. 23(1) (2022) - [j11]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:
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods. Comput. Biol. Medicine 146: 105426 (2022) - [j10]Farid Saberi-Movahed, Mehrdad Rostami, Kamal Berahmand, Saeed Karami, Prayag Tiwari, Mourad Oussalah, Shahab S. Band:
Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection. Knowl. Based Syst. 256: 109884 (2022) - 2021
- [j9]Mohammad Rezaei-Ravari, Mahdi Eftekhari, Farid Saberi Movahed:
Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers. Eng. Appl. Artif. Intell. 97: 104062 (2021) - [j8]Azita Tajaddini, Gang Wu, Farid Saberi Movahed, Najmeh Azizi Zadeh:
Two New Variants of the Simpler Block GMRES Method with Vector Deflation and Eigenvalue Deflation for Multiple Linear Systems. J. Sci. Comput. 86(1): 9 (2021) - [j7]Mahla Mokhtia, Mahdi Eftekhari, Farid Saberi Movahed:
Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation. Knowl. Based Syst. 229: 107308 (2021) - [j6]Lakhdar Elbouyahyaoui, Mohammed Heyouni, Azita Tajaddini, Farid Saberi Movahed:
On restarted and deflated block FOM and GMRES methods for sequences of shifted linear systems. Numer. Algorithms 87(3): 1257-1299 (2021) - 2020
- [j5]Mahla Mokhtia, Mahdi Eftekhari, Farid Saberi Movahed:
Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation. Appl. Soft Comput. 91: 106255 (2020) - [j4]Mohammed Heyouni, Farid Saberi Movahed, Azita Tajaddini:
A tensor format for the generalized Hessenberg method for solving Sylvester tensor equations. J. Comput. Appl. Math. 377: 112878 (2020) - [j3]Farid Saberi Movahed, Mahdi Eftekhari, Mohammad Mohtashami:
Supervised feature selection by constituting a basis for the original space of features and matrix factorization. Int. J. Mach. Learn. Cybern. 11(7): 1405-1421 (2020) - 2019
- [j2]Mohammed Heyouni, Farid Saberi Movahed, Azita Tajaddini:
On global Hessenberg based methods for solving Sylvester matrix equations. Comput. Math. Appl. 77(1): 77-92 (2019) - 2016
- [j1]Fatemeh Panjeh Ali Beik, Farid Saberi Movahed, Salman Ahmadi-Asl:
On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations. Numer. Linear Algebra Appl. 23(3): 444-466 (2016)
Informal and Other Publications
- 2025
- [i3]Kamal Berahmand, Farid Saberi-Movahed, Razieh Sheikhpour, Yuefeng Li, Mahdi Jalili:
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning. CoRR abs/2501.13597 (2025) - 2024
- [i2]Farid Saberi-Movahed, Kamal Berahmand, Razieh Sheikhpour, Yuefeng Li, Shirui Pan:
Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey. CoRR abs/2405.03615 (2024) - 2023
- [i1]Farshad Saberi-Movahed, Mohammad Kazem Ebrahimpour, Farid Saberi-Movahed, Monireh Moshavash, Dorsa Rahmatian, Mahvash Mohazzebi, Mahdi Shariatzadeh, Mahdi Eftekhari:
Deep Metric Learning with Soft Orthogonal Proxies. CoRR abs/2306.13055 (2023)
Coauthor Index
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