Autoencoders and their applications in machine learning: a survey
2024 · Artificial Intelligence Review · 413 citations
https://doi.org/10.1007/s10462-023-10662-6
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Kamal Berahmand
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Kamal Berahmand is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Complex Network Analysis Techniques & Advanced Graph Neural Networks & Face and Expression Recognition. The author has an h-index of 37, co-authored 65 publications.
ORCID: 0000-0003-4459-0703Papers by this author
worksA 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
Gene 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 Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks
2022 · IEEE Transactions on Network Science and Engineering · 105 citations
https://doi.org/10.1109/tnse.2022.3210233
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
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