Complexity measures of supervised classifications tasks: A case study for cancer gene expression data
- DOI
- 10.1109/ijcnn.2010.5596305
- Published
- 2010-07
- Container
- The 2010 International Joint Conference on Neural Networks (IJCNN)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/ijcnn.2010.5596305,
title = {Complexity measures of supervised classifications tasks: A case study for cancer gene expression data},
author = {Marcilio C. P. de Souto and Ana C. Lorena and Newton Spolaor and Ivan G. Costa},
year = {2010},
journal = {The 2010 International Joint Conference on Neural Networks (IJCNN)},
doi = {10.1109/ijcnn.2010.5596305},
url = {https://doi.org/10.1109/ijcnn.2010.5596305}
}RIS
TY - JOUR TI - Complexity measures of supervised classifications tasks: A case study for cancer gene expression data AU - Marcilio C. P. de Souto AU - Ana C. Lorena AU - Newton Spolaor AU - Ivan G. Costa PY - 2010 JO - The 2010 International Joint Conference on Neural Networks (IJCNN) DO - 10.1109/ijcnn.2010.5596305 UR - https://doi.org/10.1109/ijcnn.2010.5596305 ER -
APA
Souto, M. C. P. D., Lorena, A. C., Spolaor, N., & Costa, I. G. (2010). Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. The 2010 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn.2010.5596305
Source records
- crossref · retrieved 2026-09-25T10:38:48.473Z