A novel community detection based genetic algorithm for feature selection
2021 · Journal Of Big Data · 178 citations
https://doi.org/10.1186/s40537-020-00398-3
M
Mehrdad Rostami
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Mehrdad Rostami is an academic researcher from Oulu Deaconess Institute. The author has contributed to research in topics: Recommender Systems and Techniques & Nutritional Studies and Diet & Complex Network Analysis Techniques. The author has an h-index of 27, co-authored 62 publications.
ORCID: 0000-0001-5710-217XPapers by this author
worksGene selection for microarray data classification via multi-objective graph theoretic-based method
2021 · Artificial Intelligence in Medicine · 122 citations
https://doi.org/10.1016/j.artmed.2021.102228
Graph-based relevancy-redundancy gene selection method for cancer diagnosis
2022 · Computers in Biology and Medicine · 101 citations
https://doi.org/10.1016/j.compbiomed.2022.105766
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
A new attributed graph clustering by using label propagation in complex networks
2020 · Journal of King Saud University - Computer and Information Sciences · 77 citations
https://doi.org/10.1016/j.jksuci.2020.08.013
Decoding 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
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