The DOI matches its Crossref record; 84 of the 92 references it cites were found in a registry or an index.
A survey on feature selection methods
Overview
Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This kind of initial feature pruning can improve out-of-sample model performance substantially (80).”
From Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System (2020) · cites this paper as [80]
Citations
Cites
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,178
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
Neural Networks: A Comprehensive Foundation
Haykin, S. (1998) · Cited by 30,070
Genetic Algorithms in Search, Optimization and Machine Learning
Goldberg, D. E., & Robson, D. (1988) · Cited by 18,391
Goldberg, D. E., & Shakespeare, W. (2002) · Cited by 16,088
A training algorithm for optimal margin classifiers
Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory · doi:10.1145/130385.130401 · Cited by 11,992
Peng, H., Long, F., & Ding, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.159 · Cited by 10,818
Gene selection for cancer classification using support vector machines
Guyon, I., Weston, J., Barnhill, S., & Vapnik, V. (2002) · Machine Learning · doi:10.1023/a:1012487302797 · Cited by 9,954
Flagged first, then by citations
8 of the 92 references couldn’t be matched to a known paper.
Research works printed but not linked: 5
- Koller D, Sahami M. Towards optimal feature selection. In: ICML, vol. 96; 1996. p. 284–92.
- Acuna, 2003, A comparison of feature selection procedures for classifier based on kernel density estimation, Proc Comput Commun Control Technol, 1, 468
- Stearns S. On selecting features for pattern classifiers. In: Proceedings of the 3rd international conference on pattern recognition; 1976. p. 71–5.
- Peng, 2009, Lazy learner text categorization algorithm based on embedded feature selection, J Syst Eng Electron, 20, 651
- Dietterich, 1997, Machine learning research: four current directions, Artif Intell Mag, 18, 97
Cited by
Sorted by citations
Items 1,001–1,004 of 1,004
Privacy-aware filter-based feature selection
Jafer, Y., Matwin, S., & Sokolova, M. (2014) · 2014 IEEE International Conference on Big Data (Big Data) · doi:10.1109/bigdata.2014.7004382 · Cited by 14
Using machine intelligence to uncover Alzheimer’s disease progression heterogeneity
Qorri, B., Tsay, M., Agrawal, A., Au, R., & Gracie, J. (2020) · Exploration of Medicine · doi:10.37349/emed.2020.00026 · Cited by 13
A Novel Machine Learning Based Framework for Detection of Autism Spectrum Disorder (ASD)
Sharif, H., & Khan, R. A. (2022) · Applied Artificial Intelligence · doi:10.1080/08839514.2021.2004655 · Cited by 10
Improving Method of Anomaly Detection Performance for Industrial IoT Environment
Kim, J., Shin, J., Park, K.-W., & Taek Seo, J. (2022) · Computers, Materials & Continua · doi:10.32604/cmc.2022.026619 · Cited by 8
Metadata
- Authors
- Chandrashekar, G., & Sahin, F.
- Affiliations
- Rochester Institute of Technology (US)
- Corresponding author
- Chandrashekar, Girish
- ORCID
- Sahin, Ferat
- Venue
- Computers & Electrical Engineering
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 40
- Issue
- 1
- Pages
- 16-28
- ISSN
- 0045-7906 (ISSN-L)
- OpenAlex
- W2167101736
- Cited by
- 5,189
- References
- 92
- Citations by year
- 2026: 351 · 2025: 517 · 2024: 575 · 2023: 652 · 2022: 655 · 2021: 651 · 2020: 498 · 2019: 440 · 2018: 378 · 2017: 239 · 2016: 138 · 2015: 73 · 2014: 21
- FWCI
- 68.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers & Electrical Engineering (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Text and Document Classification Technologies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- feature selection, high-dimensional data, filter methods, wrapper methods, embedded methods, dimensionality reduction, machine learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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