The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Linear discriminant analysis for the small sample size problem: an overview
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Advances in neural information processing systems 7
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Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598228 · Cited by 11,707
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516
Introduction to Statistical Pattern Recognition
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Gene expression profiling predicts clinical outcome of breast cancer
van 't Veer, L. J., Dai, H., van de Vijver, M. J., He, Y. D., Hart, A. A. M., Mao, M., Peterse, H. L., van der Kooy, K., Marton, M. J., Witteveen, A. T., et al. (2002) · Nature · doi:10.1038/415530a · Cited by 9,536
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Use of proteomic patterns in serum to identify ovarian cancer
Petricoin, E. F., Ardekani, A. M., Hitt, B. A., Levine, P. J., Fusaro, V. A., Steinberg, S. M., Mills, G. B., Simone, C., Fishman, D. A., Kohn, E. C., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)07746-2 · Cited by 3,236
Cited by
Sharma, A., Vans, E., Shigemizu, D., Boroevich, K. A., & Tsunoda, T. (2019) · Scientific Reports · doi:10.1038/s41598-019-47765-6 · Cited by 417
Self-citationNishitsuji, R., Kawasaki, D., Nakashima, T., Sueyoshi, K., Hisamoto, H., & Endo, T. (2026) · Soft Computing · doi:10.1007/s00500-026-11387-8
Metadata
- Authors
- Sharma, A., & Paliwal, K. K.
- Venue
- International Journal of Machine Learning and Cybernetics
- Published
- 2014-01-07
- Volume
- 6
- Issue
- 3
- Pages
- 443-454
- ISSN
- 1868-8071 (ISSN-L)
- 1868-808X
- OpenAlex
- W1991362481
- Cited by
- 279
- References
- 54
- FWCI
- 8.01
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
