Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection
2022 · Knowledge-Based Systems · 95 citations
https://doi.org/10.1016/j.knosys.2022.109884
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Saeed Karami
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Saeed Karami is an academic researcher from Institute for Advanced Studies in Basic Sciences. The author has contributed to research in topics: Matrix Theory and Algorithms & Mathematical Inequalities and Applications & Face and Expression Recognition. The author has an h-index of 5, co-authored 8 publications.
ORCID: 0000-0001-9033-0633Papers by this author
worksDecoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods
2022 · Computers in Biology and Medicine · 66 citations
https://doi.org/10.1016/j.compbiomed.2022.105426
Unsupervised feature selection based on variance–covariance subspace distance
2023 · Neural Networks · 46 citations
https://doi.org/10.1016/j.neunet.2023.06.018
Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods
2021 · medRxiv · 25 citations
https://doi.org/10.1101/2021.07.07.21259699
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