The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Stability of feature selection algorithms: a study on high-dimensional spaces
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Cites
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Cited by
A survey on feature selection methods
Chandrashekar, G., & Sahin, F. (2014) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2013.11.024 · Cited by 5,189
Feature Selection: A Data Perspective
Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2018) · ACM Computing Surveys · doi:10.1145/3136625 · Cited by 2,442
Correlation and variable importance in random forests
Gregorutti, B., Michel, B., & Saint-Pierre, P. (2017) · Statistics and Computing · doi:10.1007/s11222-016-9646-1 · Cited by 1,073
A review of feature selection methods on synthetic data
Bolón-Canedo, V., Sánchez-Maroño, N., & Alonso-Betanzos, A. (2013) · Knowledge and Information Systems · doi:10.1007/s10115-012-0487-8 · Cited by 830
Stability of feature selection algorithm: A review
Khaire, U. M., & Dhanalakshmi, R. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2019.06.012 · Cited by 630
Metadata
- Authors
- Kalousis, A., Prados, J., & Hilario, M.
- Venue
- Knowledge and Information Systems
- Published
- 2006-12-01
- Volume
- 12
- Issue
- 1
- Pages
- 95-116
- ISSN
- 0219-1377 (ISSN-L)
- 0219-3116
- OpenAlex
- W2038894244
- Cited by
- 614
- References
- 19
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- green
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- Kalousis, A., Prados, J., & Hilario, M. (2007). Stability of feature selection algorithms: a study on high-dimensional spaces. Knowledge and Information Systems. https://doi.org/10.1007/s10115-006-0040-8
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.