The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes
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Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
PLS-regression: a basic tool of chemometrics
Wold, S., Sjöström, M., & Eriksson, L. (2001) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(01)00155-1 · Cited by 10,084
The Nature of Statistical Learning Theory
Sain, S. R. (1996) · Technometrics · doi:10.1080/00401706.1996.10484565 · Cited by 5,434
Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra
Barnes, R. J., Dhanoa, M. S., & Lister, S. J. (1989) · Applied Spectroscopy · doi:10.1366/0003702894202201 · Cited by 3,867
Least Squares Support Vector Machines
Suykens, J. A. K., Van Gestel, T., De Brabanter, J., De Moor, B., & Vandewalle, J. (2002) · WORLD SCIENTIFIC eBooks · doi:10.1142/5089 · Cited by 3,642
Steele, D. (1990) · Spectrochimica Acta Part A: Molecular Spectroscopy · doi:10.1016/0584-8539(90)80069-b · Cited by 2,240
Support vector machines for spam categorization
Drucker, H., Wu, D., & Vapnik, V. N. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.788645 · Cited by 1,471
Support vector machines for histogram-based image classification
Chapelle, O., Haffner, P., & Vapnik, V. N. (1999) · IEEE Transactions on Neural Networks · doi:10.1109/72.788646 · Cited by 1,468
Validation of Regression Models: Methods and Examples
Snee, R. D. (1977) · Technometrics · doi:10.1080/00401706.1977.10489581 · Cited by 1,283
Pattern recognition using generalized portrait method
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Cited by
Applications of Support Vector Machines in Chemistry
Ivanciuc, O. (2007) · Reviews in Computational Chemistry · doi:10.1002/9780470116449.ch6 · Cited by 384
Metadata
- Authors
- Chauchard, F., Cogdill, R., Roussel, S., Roger, J. M., & Bellon-Maurel, V.
- Venue
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Published
- 2004-05
- Volume
- 71
- Issue
- 2
- Pages
- 141-150
- ISSN
- 0169-7439 (ISSN-L)
- OpenAlex
- W2055563201
- Cited by
- 375
- References
- 23
- FWCI
- 14.06
- Type
- journal article
- Language
- en
- Open access
- green
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- Chauchard, F., Cogdill, R., Roussel, S., Roger, J. M., & Bellon-Maurel, V. (2004). Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/j.chemolab.2004.01.003
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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.
