The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 48,949
Regularization and Variable Selection Via the Elastic Net
Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957
Peng, H., Long, F., & Ding, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.159 · Cited by 10,544
Statistical pattern recognition: a review
Jain, A. K., Duin, P. W., & Mao, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824819 · Cited by 6,767
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 for classification
DASH, M., & LIU, H. (1997) · Intelligent Data Analysis · doi:10.1016/s1088-467x(97)00008-5 · Cited by 3,574
A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
Friedman, M. (1940) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731944 · Cited by 2,785
Aquila Optimizer: A novel meta-heuristic optimization algorithm
Abualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A. A., Al-qaness, M. A. A., & Gandomi, A. H. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107250 · Cited by 2,213
Using mutual information for selecting features in supervised neural net learning
Battiti, R. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.298224 · Cited by 2,148
Feature selection in machine learning: A new perspective
Cai, J., Luo, J., Wang, S., & Yang, S. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.11.077 · Cited by 2,061
Metadata
- Authors
- Gong, H., Li, Y., Zhang, J., Zhang, B., & Wang, X.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2024-05
- Volume
- 131
- Pages
- 107865
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W4390824079
- Cited by
- 331
- References
- 34
- FWCI
- 49.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information. https://app.cochat.ai/papers/10.1016/j.engappai.2024.107865
- The paper
- Gong, H., Li, Y., Zhang, J., Zhang, B., & Wang, X. (2024). A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2024.107865
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
