Bowerbird courtship-inspired feature selection for efficient high-dimensional data analysis using a novel meta-heuristic.
S. Kumar Reddy Mallidi|Rajeswara Rao Ramisetty
| Anthology ID: | DBLP:journals/ir/MallidiR25 |
|---|---|
| Year: | 2025 |
| Venue: | Discover Computing |
| Pages: | 6 |
| URL: | https://doi.org/10.1007/S10791-025-09497-2 |
| DOI: | https://doi.org/10.1007/S10791-025-09497-2 |
| DBLP: | journals/ir/MallidiR25 |
| BibTeX: |
@article{mallidi-2025-bowerbird,
author = {S. Kumar Reddy Mallidi and
Rajeswara Rao Ramisetty},
title = {{Bowerbird courtship-inspired feature selection for efficient high-dimensional data analysis using a novel meta-heuristic}},
journal = {Discover Computing},
volume = {28},
number = {1},
pages = {6},
year = {2025},
url = {https://doi.org/10.1007/S10791-025-09497-2},
doi = {https://doi.org/10.1007/S10791-025-09497-2}
}