The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Adaptive floating search methods in feature selection
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Citations
Cites
Floating search methods in feature selection
Pudil, P., Novovičová, J., & Kittler, J. (1994) · Pattern Recognition Letters · doi:10.1016/0167-8655(94)90127-9 · Cited by 3,098
Self-citationDevijver, P. A., & Kittler, J. (1982) · Prentice-Hall International eBooks · Cited by 2,910
Feature selection: evaluation, application, and small sample performance
Jain, A., & Zongker, D. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.574797 · Cited by 2,171
ON AUTOMATIC FEATURE SELECTION
SIEDLECKI, W., & SKLANSKY, J. (1988) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001488000145 · Cited by 392
Comparative study of techniques for large-scale feature selection
(1994) · Machine Intelligence and Pattern Recognition · doi:10.1016/b978-0-444-81892-8.50040-7 · Cited by 307
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
FloatBoost learning and statistical face detection
Li, S. Z., & Zhang, Z. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.68 · Cited by 525
Statistical Learning of Multi-view Face Detection
Li, S. Z., Zhu, L., Zhang, Z., Blake, A., Zhang, H., & Shum, H. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-47979-1_5 · Cited by 398
Using support vector machine with a hybrid feature selection method to the stock trend prediction
Lee, M.-C. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.02.038 · Cited by 302
Decoding a New Neural–Machine Interface for Control of Artificial Limbs
Zhou, P., Lowery, M. M., Englehart, K. B., Huang, H., Li, G., Hargrove, L., Dewald, J. P. A., & Kuiken, T. A. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00178.2007 · Cited by 215
Metadata
- Authors
- Somol, P., Pudil, P., Novovičová, J., & Paclı́k, P.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 1999-11
- Volume
- 20
- Issue
- 11-13
- Pages
- 1157-1163
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2065004162
- Cited by
- 305
- References
- 5
- FWCI
- 9.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Adaptive floating search methods in feature selection. https://app.cochat.ai/papers/10.1016/s0167-8655(99)00083-5
- The paper
- Somol, P., Pudil, P., Novovičová, J., & Paclı́k, P. (1999). Adaptive floating search methods in feature selection. Pattern Recognition Letters. https://doi.org/10.1016/s0167-8655(99)00083-5
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.
