The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A wrapper method for feature selection using Support Vector Machines
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Cites
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
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Sanz, H., Valim, C., Vegas, E., Oller, J. M., & Reverter, F. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2451-4 · Cited by 804
EEG Based Emotion Recognition: A Tutorial and Review
Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., Yang, M., Zhao, Z., Kumar, N., & Marttinen, P. (2023) · ACM Computing Surveys · doi:10.1145/3524499 · Cited by 508
Data preprocessing in predictive data mining
Alexandropoulos, S.-A. N., Kotsiantis, S. B., & Vrahatis, M. N. (2019) · The Knowledge Engineering Review · doi:10.1017/s026988891800036x · Cited by 209
A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography
Hina, A., & Saadeh, W. (2020) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2020.2979514 · Cited by 99
Cognitive impairment prediction in the elderly based on vocal biomarkers
Yu, B., Quatieri, T. F., Williamson, J. R., & Mundt, J. C. (2015) · Interspeech 2015 · doi:10.21437/interspeech.2015-741 · Cited by 28
Metadata
- Authors
- Maldonado, S., & Weber, R.
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 179
- Issue
- 13
- Pages
- 2208-2217
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2094023061
- Cited by
- 473
- References
- 1
- FWCI
- 15.54
- Type
- journal article
- Language
- en
- Open access
- green
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- Maldonado, S., & Weber, R. (2009). A wrapper method for feature selection using Support Vector Machines. Information Sciences. https://doi.org/10.1016/j.ins.2009.02.014
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.