Farid Saberi Movahed
Orcid: 0000-0003-2718-229X
According to our database1,
Farid Saberi Movahed
authored at least 17 papers
between 2016 and 2023.
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Bibliography
2023
Neural Networks, September, 2023
Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks.
IEEE Trans. Netw. Sci. Eng., 2023
Neurocomputing, 2023
2022
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.
Knowl. Based Syst., 2022
Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods.
Comput. Biol. Medicine, 2022
Briefings Bioinform., 2022
2021
On restarted and deflated block FOM and GMRES methods for sequences of shifted linear systems.
Numer. Algorithms, 2021
Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation.
Knowl. Based Syst., 2021
Two New Variants of the Simpler Block GMRES Method with Vector Deflation and Eigenvalue Deflation for Multiple Linear Systems.
J. Sci. Comput., 2021
Regularizing extreme learning machine by dual locally linear embedding manifold learning for training multi-label neural network classifiers.
Eng. Appl. Artif. Intell., 2021
2020
Supervised feature selection by constituting a basis for the original space of features and matrix factorization.
Int. J. Mach. Learn. Cybern., 2020
A tensor format for the generalized Hessenberg method for solving Sylvester tensor equations.
J. Comput. Appl. Math., 2020
Feature selection based on regularization of sparsity based regression models by hesitant fuzzy correlation.
Appl. Soft Comput., 2020
2019
Comput. Math. Appl., 2019
2016
On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations.
Numer. Linear Algebra Appl., 2016